Japanese

News

Biography
  • 2006.03 Ph.D., Information Science and Technology, Osaka University
  • 2006.04-2012.03 NTT Communication Science Laboratories
  • 2012.04- Associate Professor, Graduate School of Information Science and Technology, Osaka University
  • 2013.08-10 Invited Professor, Ecole polytechnique federale de Lausanne
  • 2014.08- Visiting Researcher, Advanced Telecommunications Research Institute International (ATR)
Interests
  • Wearable/Ubiquitous Sensing
  • Activity Recognition
  • Lifelogging
  • Web Contents Engineering

Publications (English Only)
Selected
  1. Naoya Yoshimura, Jaime Morales, Takuya Maekawa, and Takahiro Hara: OpenPack: A Large-scale Dataset for Recognizing Packaging Works in IoT-enabled Logistic Environments, Proc. of IEEE Int'l Conf. on Pervasive Computing and Communications (PerCom 2024), pp. 90-97 (Mar. 2024).
  2. Ryoma Otsuka*, Naoya Yoshimura, Kei Tanigaki, Shiho Koyama, Yuichi Mizutani, Ken Yoda, and Takuya Maekawa*: Exploring deep learning techniques for wild animal behaviour classification using animal-borne accelerometers, Methods in Ecology and Evolution, Vol. 15, Issue 4 (Feb. 2024). [Journal cover picture]
  3. Kei Tanigaki, Ryoma Otsuka, Aiyi Li, Yota Hatano, Yuanzhou Wei, Shiho Koyama, Ken Yoda, and Takuya Maekawa*: Automatic recording of rare behaviors of wild animals using video bio-loggers with on-board light-weight outlier detector, PNAS Nexus, Vol. 3, Issue 1 (Jan. 2024).
  4. Thilina Dissanayake, Takuya Maekawa, and Takahiro Hara: Joint Estimation of the Distance and Relative Velocity of Obstacles via Smartphone Active Sound Sensing for Pedestrian Safety, Proc. of IEEE Int'l Conf. on Pervasive Computing and Communications (PerCom 2023), pp. 32-42 (Mar. 2023).
  5. Teerawat Kumrai, Joseph Korpela, Yizhe Zhang, Kazuya Ohara, Tomoki Murakami, Hirantha Abeysekera, Takuya Maekawa*: Automated construction of Wi-Fi-based indoor logical location predictor using crowd-sourced photos with Wi-Fi signal, Elsevier Pervasive and Mobile Computing (PMC), Vol. 89, pp. 101742 (Feb. 2023).
  6. Jaime Morales, Naoya Yoshimura, Qingxin Xia, Atsushi Wada, Yasuo Namioka, Takuya Maekawa*: MGA-Net+: Acceleration-based packaging work recognition using motif-guided attention networks, Elsevier Pervasive and Mobile Computing (PMC), Vol. 88, pp. 101735 (Jan. 2023).
  7. Heng Zhou and Takuya Maekawa*: GPS-assisted Indoor Pedestrian Dead Reckoning, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Vol. 6, Issue 4, No. 166 (December 2022). (Presented at UbiComp 2023)
  8. Kei Tanigaki, Tze Chuin Teoh, Naoya Yoshimura, Takuya Maekawa*, and Takahiro Hara: Predicting Performance Improvement of Human Activity Recognition Model by Additional Data Collection, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Vol. 6, Issue 3, No. 142 (Sept. 2022). (Presented at UbiComp 2022)
  9. Naoya Yoshimura, Takuya Maekawa*, Takahiro Hara, Atsushi Wada, and Yasuo Namioka: Acceleration-based Activity Recognition of Repetitive Works with Lightweight Ordered-work Segmentation Network, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Vol. 6, Issue 2, No. 86 (July 2022). (Presented at UbiComp 2022)
  10. Jaime Morales, Naoya Yoshimura, Qingxin Xia, Atsushi Wada, Yasuo Namioka, Takuya Maekawa: Acceleration-based Human Activity Recognition of Packaging Tasks Using Motif-guided Attention Networks, Proc. of IEEE Int'l Conf. on Pervasive Computing and Communications (PerCom 2022), pp. 1-12 (Mar. 2022).
  11. Takuya Maekawa*, Daiki Higashide, Takahiro Hara, Kentarou Matsumura, Kaoru Ide, Takahisa Miyatake, Koutarou D. Kimura, and Susumu Takahashi: Cross-species behavior analysis with attention-based domain-adversarial deep neural networks, Nature Communications 12 (5519), (Sep. 2021).
  12. Yuuki Nishino, Takuya Maekawa, Takahiro Hara: WeakCounter: Acceleration-based Repetition Counting of Actions with Weakly Supervised Learning, Proc. of International Symposium on Wearable Computers (ISWC 2021), pp. 144-146, Sept. 2021.
  13. Thilina Dissanayake, Takuya Maekawa*, Takahiro Hara, Taiki Miyanishi, and Motoaki Kawanabe: IndoLabel: Predicting Indoor Location Class by Discovering Location-specific Sensor Data Motifs, IEEE Sensors Journal, Vol. 22, No. 6, pp. 5372-5385 (Mar. 2022).
  14. Yiming Tian, Takuya Maekawa*, Joseph Korpela, Daichi Amagata, Takahiro Hara, Sakiko Matsumoto, and Ken Yoda: Automatic Identification of Differences in Behavioral Co-occurrence between Groups, Animal Biotelemetry 9 (21) (June, 2021).
  15. Takuya Maekawa*, Kazuya Ohara, Yizhe Zhang, Matasaburo Fukutomi, Sakiko Matsumoto, Kentarou Matsumura, Hisashi Shidara, Shuhei J. Yamazaki, Ryusuke Fujisawa, Kaoru Ide, Naohisa Nagaya, Koji Yamazaki, Shinsuke Koike, Takahisa Miyatake, Koutarou D. Kimura, Hiroto Ogawa, Susumu Takahashi, and Ken Yoda: Deep Learning-assisted Comparative Analysis of Animal Trajectories with DeepHL, Nature Communications 11 (5316) (Oct. 2020).
  16. Joseph Korpela, Hirokazu Suzuki, Sakiko Matsumoto, Yuichi Mizutani, Masaki Samejima, Takuya Maekawa*, Junichi Nakai, and Ken Yoda: Machine learning enables improved runtime and precision for bio-loggers on seabirds, Communications Biology 3 (633), (Oct. 2020).
  17. Qingxin Xia, Joseph Korpela, Yasuo Namioka, and Takuya Maekawa*: Robust Unsupervised Factory Activity Recognition with Body-worn Accelerometer Using Temporal Structure of Multiple Sensor Data Motifs, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Vol. 4, Issue 3, No. 97 (Sept. 2020). (Presented at UbiComp 2020)
  18. Teerawat Kumrai, Joseph Korpela, Takuya Maekawa, Yen Yu, and Ryota Kanai: Human Activity Recognition with Deep Reinforcement Learning using the Camera of a Mobile Robot, Proc. of IEEE Int'l Conf. on Pervasive Computing and Communications (PerCom 2020), pp. 125-134 (Mar. 2020).
  19. Xia Qingxin, Atsushi Wada, Joseph Korpela, Takuya Maekawa*, and Yasuo Namioka: Unsupervised Factory Activity Recognition With Wearable Sensors Using Process Instruction Information, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Vol. 3, Issue 2, No. 60 (June 2019). (Presented at UbiComp 2019)
  20. Naoya Yoshimura, Takuya Maekawa, Daichi Amagata and Takahiro Hara: Upsampling Inertial Sensor Data from Wearable Smart Devices using Neural Networks, Proc. of the 39th IEEE International Conference on Distributed Computing Systems (ICDCS 2019), pp. 1983-1993 (July 2019). (Acceptance rate = 25%)
  21. Thilina Dissanayake, Takuya Maekawa*, Daichi Amagata, and Takahiro Hara: Detecting Door Events Using a Smartphone via Active Sound Sensing, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Vol. 2, Issue 4, No. 160 (Dec. 2018). (Presented at UbiComp 2019)
  22. Tomoya Nakatani, Takuya Maekawa*, Masumi Shirakawa, and Takahiro Hara: Estimating The Physical Distance Between Two Locations With Wi-Fi Received Signal Strength Information Using Obstacle-aware Approach, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Vol. 2, Issue 3, No. 130 (Sept. 2018). (Presented at UbiComp 2018)
  23. Boqi Gao, Takuya Maekawa, Daichi Amagata and Takahiro Hara: Environment-adaptive Malicious Node Detection in MANETs with Ensemble Learning, Proc. of the 38th IEEE International Conference on Distributed Computing Systems (ICDCS 2018), pp.556-566 (July 2018). (Acceptance rate = 20%)
  24. Taiki Miyanishi, Jun-ichiro Hirayama, Takuya Maekawa, and Motoaki Kawanabe: Generating an Event Timeline about Daily Activities from a Semantic Concept Stream, Proc. of the 32th AAAI Conference on Artificial Intelligence (AAAI-18), pp. 142-150 (Feb. 2018). (Acceptance rate = 25%)
  25. Osamu Ammae, Joseph Korpela, and Takuya Maekawa: Unobtrusive Detection of Body Movements During Sleep Using Wi-Fi Received Signal Strength With Model Adaptation Technique, Elsevier Future Generation Computer Systems, Vol. 78, Part 1, pp. 616-625 (Jan. 2018). [Impact Factor(2015): 2.430]
  26. Kazuya Ohara, Takuya Maekawa, and Yasuyuki Matsushita: Detecting State Changes of Indoor Everyday Objects using Wi-Fi Channel State Information, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Vol. 1, Issue 3, no. 88 (Sept. 2017). (Presented at UbiComp 2017)
  27. Masumi Shirakawa, Takahiro Hara and Takuya Maekawa: Never Abandon Minorities: Exhaustive Extraction of Bursty Phrases on Microblogs Using Set Cover Problem, Conference on Empirical Methods in Natural Language Processing (EMNLP 2017), pp. 2348-2357 (Sept. 2017). (Acceptance rate = 216/836 = 26%)
  28. Hiroaki Santo, Takuya Maekawa, and Yasuyuki Matsushita: Device-free and Privacy Preserving Indoor Positioning using Infrared Retro-reflection Imaging, Proc. of IEEE Int'l Conf. on Pervasive Computing and Communications (PerCom 2017), pp. 141-152 (Mar. 2017). (Acceptance rate for full papers = 28/194 = 14.4%)
  29. Taisei Hayashi, Daisuke Taniuchi, Joseph Korpela, and Takuya Maekawa: Spatio-temporal Adaptive Indoor Positioning Using an Ensemble Approach, Elsevier Pervasive and Mobile Computing, Vol. 41, pp. 319-332 (Oct. 2017). [Impact Factor(2015): 1.719]
  30. Takuya Maekawa, Naomi Yamashita, and Yasushi Sakurai: How Well Can a User's Location Privacy Preferences be Determined Without Using GPS Location Data?, IEEE Transactions on Emerging Topics in Computing, Vol. 5, Issue 4, pp. 526-539 (Oct. 2017).
  31. Takuya Maekawa, Daisuke Nakai, Kazuya Ohara, and Yasuo Namioka: Toward Practical Factory Activity Recognition: Unsupervised Understanding of Repetitive Assembly Work in a Factory, Proc. of International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016), pp. 1088-1099 (Sept. 2016). (Acceptance rate = 114/481 = 23.7%)
  32. Quan Kong, Takuya Maekawa, Taiki Miyanishi, and Takayuki Suyama: Selecting Home Appliances with Smart Glass based on Contextual Information, Proc. of International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016), pp. 97-108 (Sept. 2016). (Acceptance rate = 114/481 = 23.7%)
  33. Masaya Tachikawa, Takuya Maekawa, and Yasuyuki Matsushita: Predicting Location Semantics Combining Active and Passive Sensing with Environment-independent Classifier, Proc. of International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016), pp. 220-231 (Sept. 2016). (Acceptance rate = 114/481 = 23.7%)
  34. Taiki Miyanishi, Jun-ichiro Hirayama, Quan Kong, Takuya Maekawa, Hiroki Moriya and Takayuki Suyama: Egocentric Video Search via Physical Interactions, Proc. of the 30th AAAI Conference on Artificial Intelligence (AAAI-16), pp. 330-337 (Feb. 2016). (Acceptance rate = 549/2132 = 26%)
  35. Joseph Korpela, Ryosuke Miyaji, Takuya Maekawa, Kazunori Nozaki, and Hiroo Tamagawa: Evaluating Tooth Brushing Performance With Smartphone Sound Data, Proc. of International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2015), pp. 109-120 (Sept. 2015). (Acceptance rate = 120/394 = 30.4%)
  36. Kazuya Ohara, Takuya Maekawa, Yasue Kishino, Yoshinari Shirai, and Futoshi Naya: Transferring Positioning Model for Device-free Passive Indoor Localization, Proc. of International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2015), pp. 885-896 (Sept. 2015). (Acceptance rate = 120/394 = 30.4%)
  37. Joseph Korpela, Kazuyuki Takase, Takahiro Hirashima, Takuya Maekawa, Julien Eberle, Dipanjan Chakraborty, and Karl Aberer: An Energy-Aware Method for the Joint Recognition of Activities and Gestures Using Wearable Sensors, Proc. of International Symposium on Wearable Computers (ISWC 2015), pp. 101-108 (Sept. 2015). (Acceptance rate for full papers = 13/121 = 10.7%)
  38. Daisuke Taniuchi, Xiaopeng Liu, Daisuke Nakai, and Takuya Maekawa: Spring Model based Collaborative Indoor Position Estimation with Neighbor Mobile Devices, IEEE Journal of Selected Topics in Signal Processing , Vol. 9, Issue 2, pp. 268-277 (Mar. 2015). [Impact Factor(2013): 3.629]
  39. Daisuke Taniuchi and Takuya Maekawa: Automatic Update of Indoor Location Fingerprints with Pedestrian Dead Reckoning, ACM Transactions on Embedded Computing Systems, Vol. 14, Issue 2, pp. 27:1-27:23 (Feb. 2015). [Impact Factor(2012): 1.178]
  40. Yuki Tsuda, Quan Kong, and Takuya Maekawa: Detecting and Correcting WiFi Positioning Errors, Proc. of International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2013), pp. 777-786 (Sept. 2013). (Acceptance rate = 92/394 = 23.4%)[pdf]
  41. Tomoya Hirano and Takuya Maekawa: A Hybrid Unsupervised/Supervised Model for Group Activity Recognition, Proc. of International Symposium on Wearable Computers (ISWC 2013), pp. 21-24 (Sept. 2013). (Acceptance rate = 20/88 = 23%)[pdf]
  42. Takuya Maekawa, Yasue Kishino, Yutaka Yanagisawa, and Yasushi Sakurai: Recognizing Handheld Electrical Device Usage with Hand-worn Coil of Wire, Proc. of International Conference on Pervasive Computing (Pervasive 2012), pp. 234-252 (June 2012). (Acceptance rate = 28/138 = 20%)[pdf]
  43. Takuya Maekawa, Yasue Kishino, Yutaka Yanagisawa, and Yasushi Sakurai: Mimic Sensors: Battery-shaped Sensor Node for Detecting Electrical Events of Handheld Devices, Proc. of International Conference on Pervasive Computing (Pervasive 2012), pp. 20-38 (June 2012). (Acceptance rate = 28/138 = 20%)[pdf]
  44. Takuya Maekawa, Yutaka Yanagisawa, Yasushi Sakurai, Yasue Kishino, Koji Kamei, and Takeshi Okadome: Context-Aware Web Search in Ubiquitous Sensor Environments, ACM Transactions on Internet Technology (ACM TOIT), Vol. 11, No. 3, pp. 12:1-12:23 (Jan. 2012). [Impact Factor(2011): 0.893]
  45. Takuya Maekawa, Yasue Kishino, Yasushi Sakurai, and Takayuki Suyama: Recognizing the Use of Portable Electrical Devices with Hand-worn Magnetic Sensors, Proc. of International Conference on Pervasive Computing (Pervasive 2011), pp. 276-293 (June 2011). (Acceptance rate = 22/93 = 23.7%) [pdf]
  46. Takuya Maekawa and Shinji Watanabe: Unsupervised Activity Recognition with User's Physical Characteristics Data, Proc. of International Symposium on Wearable Computers (ISWC 2011), pp. 89-96 (June 2011). (Acceptance rate = 6/31 = 19.3%) [Best Paper Nominee] [pdf]
  47. Takuya Maekawa, Yutaka Yanagisawa, Yasue Kishino, Katsuhiko Ishiguro, Koji Kamei, Yasushi Sakurai, and Takeshi Okadome: Object-based Activity Recognition with Heterogeneous Sensors on Wrist, Proc. of International Conference on Pervasive Computing (Pervasive 2010), pp. 246-264 (May 2010). (Acceptance rate = 25/157 = 16%) [pdf]
  48. Takuya Maekawa, Yutaka Yanagisawa, Yasushi Sakurai, Yasue Kishino, Koji Kamei, and Takeshi Okadome: Web Searching for Daily Living, Proc. of International ACM SIGIR Conference (SIGIR 2009), pp. 27-34 (July 2009). (Acceptance rate = 78/494 =16%) [pdf]
  49. Takuya Maekawa, Yutaka Yanagisawa, Yasue Kishino, Koji Kamei, Yasushi Sakurai, and Takeshi Okadome: Object-Blog System for Environment-Generated Content, IEEE Pervasive Computing, Vol. 7, No. 4, pp. 20-27 (Oct.-Dec. 2008). [Impact Factor(2008): 2.615] [pdf draft]
  50. Takuya Maekawa, Takahiro Hara, and Shojiro Nishio: Image Classification for Mobile Web Browsing, Proc. of International World Wide Web Conference (WWW 2006), pp. 43-52 (May 2006). (Acceptance rate = 75/667 =11%) [pdf]
  51. Takuya Maekawa, Takahiro Hara, and Shojiro Nishio: A Collaborative Web Browsing System for Multiple Mobile Users, Proc. of IEEE Int'l Conf. on Pervasive Computing and Communications (PerCom 2006), pp. 22-35 (Mar. 2006). (Acceptance rate = 23/280 =8%) [pdf]
Full Publications
Journal & Magazine
  1. Ryoma Otsuka*, Naoya Yoshimura, Kei Tanigaki, Shiho Koyama, Yuichi Mizutani, Ken Yoda, and Takuya Maekawa*: Exploring deep learning techniques for wild animal behaviour classification using animal-borne accelerometers, Methods in Ecology and Evolution, Vol. 15, Issue 4 (Feb. 2024). [Journal cover picture]
  2. Kei Tanigaki, Ryoma Otsuka, Aiyi Li, Yota Hatano, Yuanzhou Wei, Shiho Koyama, Ken Yoda, and Takuya Maekawa*: Automatic recording of rare behaviors of wild animals using video bio-loggers with on-board light-weight outlier detector, PNAS Nexus, Vol. 3, Issue 1 (Jan. 2024).
  3. Teerawat Kumrai, Joseph Korpela, Yizhe Zhang, Kazuya Ohara, Tomoki Murakami, Hirantha Abeysekera, Takuya Maekawa*: Automated construction of Wi-Fi-based indoor logical location predictor using crowd-sourced photos with Wi-Fi signal, Elsevier Pervasive and Mobile Computing (PMC), Vol. 89, pp. 101742 (Feb. 2023).
  4. Heng Zhou and Takuya Maekawa*: GPS-assisted Indoor Pedestrian Dead Reckoning, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Vol. 6, Issue 4, No. 166 (December 2022). (Presented at UbiComp 2023)
  5. Yuuki Nishino, Takuya Maekawa*, and Takahiro Hara: Few-Shot and Weakly Supervised Repetition Counting With Body-Worn Accelerometers, Frontiers in Computer Science, Vol. 4, No. 925108 (July. 2022).
  6. Kei Tanigaki, Tze Chuin Teoh, Naoya Yoshimura, Takuya Maekawa*, and Takahiro Hara: Predicting Performance Improvement of Human Activity Recognition Model by Additional Data Collection, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Vol. 6, Issue 3, No. 142 (Sept. 2022). (Presented at UbiComp 2022) [PDF]
  7. Naoya Yoshimura, Takuya Maekawa*, Takahiro Hara, Atsushi Wada, and Yasuo Namioka: Acceleration-based Activity Recognition of Repetitive Works with Lightweight Ordered-work Segmentation Network, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Vol. 6, Issue 2, No. 86 (July 2022). (Presented at UbiComp 2022) [PDF]
  8. Takuya Maekawa*, Daiki Higashide, Takahiro Hara, Kentarou Matsumura, Kaoru Ide, Takahisa Miyatake, Koutarou D. Kimura, and Susumu Takahashi: Cross-species behavior analysis with attention-based domain-adversarial deep neural networks, Nature Communications 12 (5519), (Sep. 2021).
  9. Thilina Dissanayake, Takuya Maekawa*, Takahiro Hara, Taiki Miyanishi, and Motoaki Kawanabe: IndoLabel: Predicting Indoor Location Class by Discovering Location-specific Sensor Data Motifs, IEEE Sensors Journal, vol. TBA, pp. TBA - TBA (TBA 2021).
  10. Yiming Tian, Takuya Maekawa*, Joseph Korpela, Daichi Amagata, Takahiro Hara, Sakiko Matsumoto, and Ken Yoda: Automatic Identification of Differences in Behavioral Co-occurrence between Groups, Animal Biotelemetry 9 (21) (June, 2021).
  11. Taiki Miyanishi, Takuya Maekawa and Motoaki Kawanabe: Sim2RealQA: Using Life Simulation to Solve Question Answering Real-World Events, IEEE Access, vol. 9, pp. 75003-75020 (May, 2021).
  12. Takuya Maekawa*, Kazuya Ohara, Yizhe Zhang, Matasaburo Fukutomi, Sakiko Matsumoto, Kentarou Matsumura, Hisashi Shidara, Shuhei J. Yamazaki, Ryusuke Fujisawa, Kaoru Ide, Naohisa Nagaya, Koji Yamazaki, Shinsuke Koike, Takahisa Miyatake, Koutarou D. Kimura, Hiroto Ogawa, Susumu Takahashi, and Ken Yoda: Deep Learning-assisted Comparative Analysis of Animal Trajectories with DeepHL, Nature Communications 11 (5316) (Oct. 2020).
  13. Joseph Korpela, Hirokazu Suzuki, Sakiko Matsumoto, Yuichi Mizutani, Masaki Samejima, Takuya Maekawa*, Junichi Nakai, and Ken Yoda: Machine learning enables improved runtime and precision for bio-loggers on seabirds, Communications Biology 3 (633), (Oct. 2020).
  14. Qingxin Xia, Joseph Korpela, Yasuo Namioka, and Takuya Maekawa: Robust Unsupervised Factory Activity Recognition with Body-worn Accelerometer Using Temporal Structure of Multiple Sensor Data Motifs, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Vol. 4, Issue 3, No. 97 (Sept. 2020). (Presented at UbiComp 2020)
  15. Shuhei J. Yamazaki, Kazuya Ohara, Kentaro Ito, Nobuo Kokubun, Takuma Kitanishi, Daisuke Takaichi, Yasufumi Yamada, Yosuke Ikejiri, Fumie Hiramatsu, Kosuke Fujita, Yuki Tanimoto, Akiko Yamazoe-Umemoto, Koichi Hashimoto, Katsufumi Sato, Ken Yoda, Akinori Takahashi, Yuki Ishikawa, Azusa Kamikouchi, Shizuko Hiryu, Takuya Maekawa, and Koutarou D. Kimura: STEFTR: A Hybrid Versatile Method for State Estimation and Feature Extraction From the Trajectory of Animal Behavior. Front Neurosci, Vol. 13, 970 (June 2019).
  16. Xia Qingxin, Atsushi Wada, Joseph Korpela, Takuya Maekawa, and Yasuo Namioka: Unsupervised Factory Activity Recognition With Wearable Sensors Using Process Instruction Information, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Vol. 3, Issue 2, No. 60 (June 2019). (Presented at UbiComp 2019)
  17. Thilina Dissanayake, Takuya Maekawa, Daichi Amagata, and Takahiro Hara: Detecting Door Events Using a Smartphone via Active Sound Sensing, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Vol. 2, Issue 4, No. 160 (Dec. 2018). (Presented at UbiComp 2019)
  18. Tomoya Nakatani, Takuya Maekawa, Masumi Shirakawa, and Takahiro Hara: Estimating The Physical Distance Between Two Locations With Wi-Fi Received Signal Strength Information Using Obstacle-aware Approach, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Vol. 2, Issue 3, No. 130 (Sept. 2018). (Presented at UbiComp 2018)
  19. Joseph Korpela and Takuya Maekawa: Privacy-Preserving Recognition of Object-based Activities Using Near-Infrared Reflective Markers, ACM/Springer Personal and Ubiquitous Computing (ACM/Springer PUC), Vol. 22, Issue 2, pp. 365-377 (Apr. 2018). [Impact Factor(2016): 2.395]
  20. Osamu Ammae, Joseph Korpela, and Takuya Maekawa: Unobtrusive Detection of Body Movements During Sleep Using Wi-Fi Received Signal Strength With Model Adaptation Technique, Elsevier Future Generation Computer Systems, Vol. 78, Part 1, pp. 616-625 (Jan. 2018). [Impact Factor(2015): 2.430]
  21. Taisei Hayashi, Daisuke Taniuchi, Joseph Korpela, and Takuya Maekawa: Spatio-temporal Adaptive Indoor Positioning Using an Ensemble Approach, Elsevier Pervasive and Mobile Computing, Vol. 41, pp. 319-332 (Oct. 2017). [Impact Factor(2015): 1.719]
  22. Joseph Korpela, Ryosuke Miyaji, Takuya Maekawa, Kazunori Nozaki, and Hiroo Tamagawa: Toothbrushing Performance Evaluation Using Smartphone Audio Based on Hybrid HMM-Recognition/SVM-Regression Model, Journal of Information Processing, Vol. 24, No. 2, pp. 302-313 (Mar. 2016).
  23. Akira Masuda and Takuya Maekawa: Estimating Physical Characteristics with Body-worn Accelerometers Based on Activity Similarities, Journal of Information Processing, Vol. 24, No. 2, pp. 237-246 (Mar. 2016).
  24. Akira Masuda, Kun Zhang, and Takuya Maekawa: Sonic Home: Environmental Sound Collection Game for Human Activity Recognition, Journal of Information Processing, Vol. 24, No. 2, pp. 203-210 (Mar. 2016).
  25. Daisuke Taniuchi, Xiaopeng Liu, Daisuke Nakai, and Takuya Maekawa: Spring Model based Collaborative Indoor Position Estimation with Neighbor Mobile Devices, IEEE Journal of Selected Topics in Signal Processing , Vol. 9, Issue 2, pp. 268-277 (Mar. 2015). [Impact Factor(2013): 3.629]
  26. Daisuke Taniuchi and Takuya Maekawa: Automatic Update of Indoor Location Fingerprints with Pedestrian Dead Reckoning, ACM Transactions on Embedded Computing Systems, Vol. 14, Issue 2, pp. 27:1-27:23 (Feb. 2015). [Impact Factor(2012): 1.178]
  27. Takuya Maekawa, Naomi Yamashita, and Yasushi Sakurai: How Well Can a User's Location Privacy Preferences be Determined Without Using GPS Location Data?, IEEE Transactions on Emerging Topics in Computing, Vol. , Issue , pp. - (to appear).
  28. Y. Yasuda and Takuya Maekawa: Acceleration-based Activity Recognition with Adaptive Training Data Selection using Physical Characteristics Information, Rangsit Journal of Information Technology, Vol. 1, No. 2, pp. 6-15 (2013.7-12).
  29. Quan Kong and Takuya Maekawa: Reusing Training Data with Generative/Discriminative Hybrid Model for Practical Acceleration-based Activity Recognition, Springer Computing, Vol. 96, Issue 9, pp. 875-895 (Sept. 2014). [Impact Factor(2013): 1.055]
  30. Takuya Maekawa, Yasue Kishino, Yasushi Sakurai, and Takayuki Suyama: Activity Recognition with Hand-worn Magnetic Sensors, ACM/Springer Personal and Ubiquitous Computing (ACM/Springer PUC), Vol. 17, No. 6, pp. 1085-1094 (Aug. 2013). [Impact Factor(2013): 1.616]
  31. Takuya Maekawa and Shinji Watanabe: Training Data Selection with User's Physical Characteristics Data for Acceleration-based Activity Modeling, ACM/Springer Personal and Ubiquitous Computing (ACM/Springer PUC), Vol. 17, Issue 3, pp. 451-463 (Mar. 2013). [Impact Factor(2013): 1.616]
  32. Takuya Maekawa, Yutaka Yanagisawa, Yasushi Sakurai, Yasue Kishino, Koji Kamei, and Takeshi Okadome: Context-Aware Web Search in Ubiquitous Sensor Environments, ACM Transactions on Internet Technology (ACM TOIT), Vol. 11, No 3, pp. 12:1-12:23 (Jan. 2012). [Impact Factor(2011): 0.893]
  33. T. Okadome, Y. Kishino, Takuya Maekawa, K. Kamei, Y. Yanagisawa, Y. Sakurai: Event Search Engine, International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), Vol. 4, No. 1, pp.30-44 (Jan.-Mar. 2010).
  34. K. Kamei, Y. Yanagisawa, Takuya Maekawa, Y. Kishino, Y. Sakurai, and T. Okadome: Incremental Knowledge Construction for Real-World Event Understanding, International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), Vol. 4, No. 1, pp.65-79 (Jan.-Mar. 2010).
  35. Takuya Maekawa, Y. Yanagisawa, and T. Okadome: Estimating which Object-Type a Sensor Node is Attached to in Ubiquitous Sensor Environment, International Journal of Software Science and Computational Intelligence, Vol. 2, No.1, pp. 86-101 (Jan.-Mar. 2010).
  36. Takuya Maekawa, Y. Yanagisawa, Y. Kishino, K. Kamei, Y. Sakurai, and T. Okadome: Object-Blog System for Environment-Generated Content, IEEE Pervasive Computing, Vol. 7, No. 4, pp. 20-27 (Oct.-Dec. 2008). [Impact Factor(2008): 2.615] [pdf draft]
  37. Y. Arase, Takuya Maekawa, T. Hara, T. Uemukai, and S. Nishio: A Web Browsing System for Cellular Phone Users based on Adaptive Presentation, Springer Universal Access in the Information Society, Vol. 6, No. 3, pp. 259--271 (Nov. 2007).
  38. T. Okadome,, Y. Kishino, Takuya Maekawa, K. Kamei, Y. Yanagisawa, and Y. Sakurai: Real-time creation of web content about physical objects and events using sensor network, Ubiquitous Computing and Communication Journal, Special Issue on Ubiquitous Sensor Networks (Oct. 2007).
  39. Takuya Maekawa, T. Uemukai, T. Hara, and S. Nishio: An information browsing system using a Java-based cellular phone in a remote display environment, Systems and Computers in Japan, Vol. 37, Issue 10, pp. 342-346 (Sept. 2006).
International Conference
  1. Naoya Yoshimura, Jaime Morales, Takuya Maekawa, and Takahiro Hara: OpenPack: A Large-scale Dataset for Recognizing Packaging Works in IoT-enabled Logistic Environments, Proc. of IEEE Int'l Conf. on Pervasive Computing and Communications (PerCom 2024), pp. 90-97 (Mar. 2024).
  2. Takuya Maekawa, Kei Tanigaki, Ryoma Otsuka, Shiho Koyama, Yuichi Mizutani, Ken Yoda: AI on Animals: AI-enabled bio-loggers transform animal behavior study in the wild, The 8th International Bio-Logging Science Symposium, Oral Presentation (Mar. 2024).
  3. Ryoma Otuka, Naoya Yoshimura, Kei Tanigaki, Shiho Koyama, Yuichi Mizutani, Ken Yoda, Takuya Maekawa: A trial for wild animal behaviour classification using animal-borne accelerometers and deep learning techniques, The 8th International Bio-Logging Science Symposium, Poster Presentation (Mar. 2024).
  4. Takuya Maekawa, Qingxin Xia, Ryoma Otsuka, Naoya Yoshimura, and Kei Tanigaki: Recent Trends in Sensor-based Activity Recognition, Proc. of The 24th IEEE International Conference on Mobile Data Management (MDM 2023), Advanced Seminar, pp. 36-38 (July 2023).
  5. Thilina Dissanayake, Takuya Maekawa, and Takahiro Hara: Joint Estimation of the Distance and Relative Velocity of Obstacles via Smartphone Active Sound Sensing for Pedestrian Safety, Proc. of IEEE Int'l Conf. on Pervasive Computing and Communications (PerCom 2023), pp. 32-42 (Mar. 2023).
  6. Yuuki Nishino, Takuya Maekawa, and Takahiro Hara: Detecting Repetitive Human Actions by Neural Networks Trained on Composite Data Only, Proc. of Second International Workshop on Behavior analysis and Recognition for knowledge Discovery (BiRD 2023) - 2023 IEEE International Conference on Pervasive Computing and Communications - Workshops and Affiliated Events, pp. 188-193 (Mar. 2023).
  7. Qingxin Xia, Takahiro Hara, Takuya Maekawa, Mori Kurokawa, and Kei Yonekawa: An Effective and Efficient Self-Attention Based Model for Next POI Recommendation, Proc. of PerCom 2023 Workshop on Ubiquitous and Multi-domain User Modeling (UMUM 2023), pp. 477-482 (Mar. 2023).
  8. Jaime Morales, Naoya Yoshimura, Qingxin Xia, Atsushi Wada, Yasuo Namioka, Takuya Maekawa: Acceleration-based Human Activity Recognition of Packaging Tasks Using Motif-guided Attention Networks, Proc. of IEEE Int'l Conf. on Pervasive Computing and Communications (PerCom 2022), pp. - (Mar. 2022).
  9. Yuuki Nishino, Takuya Maekawa, Takahiro Hara: WeakCounter: Acceleration-based Repetition Counting of Actions with Weakly Supervised Learning, Proc. of International Symposium on Wearable Computers (ISWC 2021), pp. 144-146, Sept. 2021.
  10. Yimin Tian, Takuya Maekawa, Takahiro Hara, Yojiro Yokomori, and Takashi Kitagawa, NaviMine: A tool for mining trajectories through behavior prediction, PerCom2021 International Workshop on Pervasive Information Flow (PerFlow'21) (Mar. 2021).
  11. Masayuki Fujiwara, Tomoya Nakatani, Yiming Tian, Joseph Korpela, Takuya Maekawa*, and Takahiro Hara: Smartphone-assisted Automatic Indoor Localization of BLE-enabled Appliances Using BLE and GNSS Signals, Proc. of ACM International Conference on Systems for Energy-Efficient Built Environments (BuildSys 2020), pp. 80-89 (Nov. 2020).
  12. Teerawat Kumrai, Joseph Korpela, Takuya Maekawa, Yen Yu, and Ryota Kanai: Human Activity Recognition with Deep Reinforcement Learning using the Camera of a Mobile Robot, Proc. of IEEE Int'l Conf. on Pervasive Computing and Communications (PerCom 2020), pp. 125-134 (Mar. 2020).
  13. Naoya Yoshimura, Takuya Maekawa, and Takahiro Hara: Preliminary Investigation of Visualizing Human Activity Recognition Neural Network, The 12th International Conference on Mobile Computing and Ubiquitous Networking (ICMU 2019), Nov. 2019. [Best Poster Award]
  14. Naoya Yoshimura, Takuya Maekawa, Daichi Amagata and Takahiro Hara: Upsampling Inertial Sensor Data from Wearable Smart Devices using Neural Networks, Proc. of the 39th IEEE International Conference on Distributed Computing Systems (ICDCS 2019), pp. 1983-1993 (July 2019). (Acceptance rate = 25%)
  15. Kei Yonekawa, Hao Niu, Mori Kurokawa, Arei Kobayashi, Daichi Amagata, Takuya Maekawa, and Takahiro Hara: A Heterogeneous Domain Adversarial Neural Network for Trans-Domain Behavioral Targeting, Proc. of Pacific Asia Workshop on Deep Learning for Knowledge Transfer (DLKT) (April 2019)
  16. Cheng Chen, Takuya Maekawa, Daichi Amagata, and Takahiro Hara: Preliminary Investigation of Predicting Next-Use Mobile Apps Using App Semantic Representations, Proc. of IEEE Int'l Conf. on Pervasive Computing and Communications (PerCom 2019), Work-in-Progress session (Mar. 2019)
  17. Toshimitsu Kamiya, Tatsuya Nakamura, Takuya Maekawa, Daichi Amagata, and Takahiro Hara: Estimating User Contexts from Mobile Application Usage Histories, Proc. of PerCom International Workshop on Behavior analysis and Recognition for knowledge Discovery (BiRD 2019) (Mar. 2019) [Best Student Paper Award]
  18. Tomoya Nakatani, Ryohei Kuga, and Takuya Maekawa: Object-Based Activity Recognition Using Egocentric Video Based on Web Knowledge, Proc. of PerCom International Workshop on Behavior analysis and Recognition for knowledge Discovery (BiRD 2019) (Mar. 2019) [Best Student Paper Award]
  19. Mori Kurokawa, Hao Niu, Kei Yonekawa, Arei Kobayashi, Daichi Amagata, Takuya Maekawa, and Takahiro Hara: Virtual Touch-Point: Trans-Domain Behavioral Targeting Via Transfer Learning, Proc. of International Workshop on Big Data Transfer Learning (BDTL), pp. 4762-4767 (Dec. 2018)
  20. Tomoya Nakatani, Ryohei Kuga, and Takuya Maekawa: Preliminary Investigation of Object-based Activity Recognition Using Egocentric Video Based on Web Knowledge, Proc. of the 17th International Conference on Mobile and Ubiquitous Multimedia (MUM 2018), pp. 375-381 (Nov. 2018).
  21. Boqi Gao, Takuya Maekawa, Daichi Amagata and Takahiro Hara: Environment-adaptive Malicious Node Detection in MANETs with Ensemble Learning, Proc. of the 38th IEEE International Conference on Distributed Computing Systems (ICDCS 2018), pp.556-566 (July 2018). (Acceptance rate = 20%)
  22. Kazuya Ohara, Takuya Maekawa, Stephan Sigg, and Moustafa Youssef: Preliminary Investigation of Position Independent Gesture Recognition using Wi-Fi Channel State Information, Proc. of IEEE Int'l Conf. on Pervasive Computing and Communications (PerCom 2018), Work-in-Progress session (Mar. 2018).
  23. Naoya Yoshimura, Takuya Maekawa, Daich Amagata, and Takahiro Hara: Preliminary Investigation of Fine-grained Gesture Recognition with Signal Super-resolution, Proc. of IEEE Int'l Conf. on Pervasive Computing and Communications (PerCom 2018), Work-in-Progress session (Mar. 2018). [Best WiP Paper Award]
  24. Thilina Dissanayake, Takuya Maekawa, Daich Amagata, and Takahiro Hara: Preliminary Investigation of Detecting Events of Indoor Objects with Smartphone Active Sound Sensing, Proc. of IEEE Int'l Conf. on Pervasive Computing and Communications (PerCom 2018), Work-in-Progress session (Mar. 2018).
  25. Taiki Miyanishi, Jun-ichiro Hirayama, Takuya Maekawa, and Motoaki Kawanabe: Generating an Event Timeline about Daily Activities from a Semantic Concept Stream, Proc. of the 32th AAAI Conference on Artificial Intelligence (AAAI-18), pp. 142-150 (Feb. 2018). (Acceptance rate = 25%)
  26. Murilo M. Marinho, Yuki Yatsushima, Takuya Maekawa and Yasuo Namioka: Preliminary Evaluation of a Framework for Overhead Skeleton Tracking in Factory Environments using Kinect, Proc. of 4th international Workshop on Sensor-based Activity Recognition and Interaction (iWoar 2017), pp. 12:1-12:6 (Sept. 2017). [Runner-up Paper Award]
  27. Masumi Shirakawa, Takahiro Hara and Takuya Maekawa: Never Abandon Minorities: Exhaustive Extraction of Bursty Phrases on Microblogs Using Set Cover Problem, Conference on Empirical Methods in Natural Language Processing (EMNLP 2017), pp. 2348-2357 (Sept. 2017). (Acceptance rate = 216/836 = 26%)
  28. Kazuya Ohara, Taisei Hayashi, Takuya Maekawa, and Yasuyuki Matsushita: Metric Structure from Motion by Indoor Localization using Wi-Fi Channel State Information, Proc. of 2017 IEEE International Conference on Mechatronics and Automation (ICMA 2017), pp. 352-357 (Aug. 2017).
  29. Takuya Maekawa, Yuki Sakumichi: Easy to Install Indoor Positioning System that Parasitizes Home Lighting, Proc. of 2017 European Conference on Ambient Intelligence (AmI 2017), pp. 124-129 (Apr. 2017).
  30. Hiroaki Santo, Takuya Maekawa, and Yasuyuki Matsushita: Device-free and Privacy Preserving Indoor Positioning using Infrared Retro-reflection Imaging, Proc. of IEEE Int'l Conf. on Pervasive Computing and Communications (PerCom 2017), pp. 141-152 (Mar. 2017). (Acceptance rate for full papers = 28/194 = 14.4%)
  31. Takuya Maekawa, Akira Masuda, Yasuo Namioka: Identification from ceiling: unconstrained person identification for tabletops using multiview learning, Proc. of International Conference on Mobile and Ubiquitous Multimedia (MUM 2016), pp. 273-284 (Dec. 2016).
  32. Takuya Maekawa, Yuki Sakumichi:Initial investigation of indoor positioning system that parasitizes home lighting, Proc. of International Conference on Mobile and Ubiquitous Multimedia (MUM 2016), pp. 319-321 (Dec. 2016).
  33. Kazuya Ohara, Daisuke Nakai, Takuya Maekawa, Yasuo Namioka: Preliminary Investigation of Unsupervised Measurement of AssemblyWork Lead Time by UsingWearable Sensor, Proc. of Asian Conference on Information Systems (ACIS 2016), pp. 217-218, poster paper (Oct. 2016).
  34. Takuya Maekawa, Kazuya Ohara, Yizhe Zhang, Quan Kong, and Keita Kobayashi: Towards Advanced Sensor-based Baseball Pitcher Coaching: Preliminary Investigation of Early Classification of Pitches, Proc. of Asian Conference on Information Systems (ACIS 2016), pp. 215-216, poster paper (Oct. 2016).
  35. Takuya Maekawa, Daisuke Nakai, K. Ohara, and Y. Namioka: Toward Practical Factory Activity Recognition: Unsupervised Understanding of Repetitive Assembly Work in a Factory, Proc. of International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016), pp. 1088-1099 (Sept. 2016). (Acceptance rate = 114/481 = 23.7%)
  36. Q. Kong, Takuya Maekawa, T. Miyanishi, and T. Suyama: Selecting Home Appliances with Smart Glass based on Contextual Information, Proc. of International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016), pp. 97-108 (Sept. 2016). (Acceptance rate = 114/481 = 23.7%)
  37. M. Tachikawa, Takuya Maekawa, and Y. Matsushita: Predicting Location Semantics Combining Active and Passive Sensing with Environment-independent Classifier, Proc. of International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016), pp. 220-231 (Sept. 2016). (Acceptance rate = 114/481 = 23.7%)
  38. J. Korpela, Takuya Maekawa, J. Eberle, D. Chakraborty, and K. Aberer: Tree-structured Classifier for Acceleration-based Activity and Gesture Recognition on Smartwatches, Proc. of IEEE Int'l Conf. on Pervasive Computing and Communications (PerCom 2016), Work-in-Progress session (Mar. 2016).
  39. Daisuke Nakai, Takuya Maekawa, and Yasuo Namioka: Towards Unsupervised Measurement of Assembly Work Cycle Time by Using Wearable Sensor, Proc. of IEEE Int'l Conf. on Pervasive Computing and Communications (PerCom 2016), Work-in-Progress session (Mar. 2016).
  40. Akira Masuda, Takuya Maekawa, and Yasuo Namioka: Preliminary Investigation of Unconstrained Person Identification for Tabletops using Soft Biometrics, Proc. of IEEE Int'l Conf. on Pervasive Computing and Communications (PerCom 2016), Work-in-Progress session (Mar. 2016).
  41. T. Miyanishi, J. Hirayama, Q. Kong, Takuya Maekawa, H. Moriya and T. Suyama: Egocentric Video Search via Physical Interactions, Proc. of the 30th AAAI Conference on Artificial Intelligence (AAAI-16), pp. 330-337 (Feb. 2016). (Acceptance rate = 549/2132 = 26%)
  42. Joseph Korpela, Ryosuke Miyaji, Takuya Maekawa, Kazunori Nozaki and Hiroo Tamagawa: Evaluating Toothbrushing Performance Using GMM-based Sound Recognition and Regression Analysis, Proc. of Asian Conference on Information Systems (ACIS 2015), poster paper, (Oct. 2015).
  43. Kazuya Ohara, Takuya Maekawa, Yasue Kishino, Yoshinari Shirai and Futoshi Naya: Preliminary Investigation of Low-cost Device-free Passive Indoor Positioning using Model Transfer, Proc. of Asian Conference on Information Systems (ACIS 2015), poster paper, (Oct. 2015) [Best Poster Award].
  44. J. Korpela, R. Miyaji, Takuya Maekawa, K. Nozaki, and H. Tamagawa: Evaluating Tooth Brushing Performance With Smartphone Sound Data, Proc. of International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2015), pp. 109-120 (Sept. 2015). (Acceptance rate = 120/394 = 30.4%)
  45. K. Ohara, Takuya Maekawa, Y. Kishino, Y. Shirai, and F. Naya: Transferring Positioning Model for Device-free Passive Indoor Localization, Proc. of International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2015), pp. 885-896 (Sept. 2015). (Acceptance rate = 120/394 = 30.4%)
  46. J. Korpela, K. Takase, T. Hirashima, Takuya Maekawa, J. Eberle, D. Chakraborty, and K. Aberer: An Energy-Aware Method for the Joint Recognition of Activities and Gestures Using Wearable Sensors, Proc. of International Symposium on Wearable Computers (ISWC 2015), pp. 101-108 (Sept. 2015). (Acceptance rate for full papers = 13/121 = 10.7%)
  47. D. Taniuchi and Takuya Maekawa: Robust Wi-Fi based Indoor Positioning with Ensemble Learning, Proc. of IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob 2014), pp. 596-601 (Oct. 2014). (Acceptance rate = 47/210 = 22%) [Student Best Paper Award]
  48. Q. Kong and Takuya Maekawa: Identifying Outlets at which Electrical Appliances are Used by Electrical Wire Sensing to Gain Positional Information about Appliance Use, Proc. of International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2014), pp. 349-360 (Sept. 2014). (Acceptance rate = 94/454 = 20.7%)
  49. Y. Tsuda, Q. Kong, and Takuya Maekawa: Detecting and Correcting WiFi Positioning Errors, Proc. of International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2013), pp. 777-786 (Sept. 2013). (Acceptance rate = 92/394 = 23.4%)[pdf]
  50. T. Hirano and Takuya Maekawa: A Hybrid Unsupervised/Supervised Model for Group Activity Recognition, Proc. of International Symposium on Wearable Computers (ISWC 2013), pp. 21-24 (Sept. 2013). (Acceptance rate = 20/88 = 23%)[pdf]
  51. Takuya Maekawa: A Sensor Device for Automatic Food Lifelogging that is Embedded in Home Ceiling Light: A Preliminary Investigation, Proc. of International Conference Pervasive Computing Technologies for Healthcare (PervasiveHealth), pp. 405-407 (May 2013).
  52. Takuya Maekawa, Y. Kishino, Y. Yanagisawa, and Y. Sakurai: Recognizing Handheld Electrical Device Usage with Hand-worn Coil of Wire, Proc. of International Conference on Pervasive Computing (Pervasive 2012), pp. 234-252 (June 2012). (Acceptance rate = 28/138 = 20%)
  53. Takuya Maekawa, Y. Kishino, Y. Yanagisawa, and Y. Sakurai: Mimic Sensors: Battery-shaped Sensor Node for Detecting Electrical Events of Handheld Devices, Proc. of International Conference on Pervasive Computing (Pervasive 2012), pp. 20-38 (June 2012). (Acceptance rate = 28/138 = 20%)
  54. Takuya Maekawa, Y. Kishino, Y. Yanagisawa, and Y. Sakurai: WristSense: Wrist-worn Sensor Device with Camera for Daily Activity Recognition, Proc. of IEEE Int'l Conf. on Pervasive Computing and Communications (PerCom 2012), pp. 510-512, Demo presentation (Mar. 2012).
  55. Takuya Maekawa, Y. Kishino, Y. Yanagisawa, and Y. Sakurai: WPT: A Toolkit for Publishing a Web-based Lifelog, Proc. of International and Interdisciplinary Conference on Modeling and Using Context (Context 2011), pp. 185-199 (Sept. 2011). (Acceptance rate = 17/52 = 32.7%)
  56. Takuya Maekawa, Y. Kishino, Y. Sakurai, and T. Suyama: Recognizing the Use of Portable Electrical Devices with Hand-worn Magnetic Sensors, Proc. of International Conference on Pervasive Computing (Pervasive 2011), pp. 276-293 (June 2011). (Acceptance rate = 22/93 = 23.7%) [pdf]
  57. Takuya Maekawa and S. Watanabe: Unsupervised Activity Recognition with User's Physical Characteristics Data, Proc. of International Symposium on Wearable Computers (ISWC 2011), pp. 89-96 (June 2011). (Acceptance rate = 6/31 = 19.3%) [Best Paper Nominee] [pdf]
  58. Takuya Maekawa, Y. Yanagisawa, Y. Kishino, K. Ishiguro, K. Kamei, Y. Sakurai, and T. Okadome: Object-based Activity Recognition with Heterogeneous Sensors on Wrist, Proc. of International Conference on Pervasive Computing (Pervasive 2010), pp. 246-264 (May 2010). (Acceptance rate = 25/157 = 16%) [pdf]
  59. Shohei Yoshioka, Takuya Maekawa, Yasushi Hirano, Shoji Kajita, and Kenji Mase: Interactive Story Creation for Knowledge Acquisition, Proc. of 5th ACM/IEEE International Conference on Human-Robot Interaction (HRI2010) (Mar. 2010).
  60. S. Yoshioka, Y. Hirano, S. Kajita, K. Mase, and Takuya Maekawa: Semi-automatic Story Creation System in Ubiquitous Sensor Environment, Proc. of European Conference on Ambient Intelligence (AmI 2009), pp. 106-111, (Nov. 2009).
  61. Takuya Maekawa, Y. Yanagisawa, Y. Kishino, K. Kamei, Y. Sakurai, and T. Okadome: Wristband Type Sensor Device for Recognizing Activities that Involve Object Use, European Conference on Ambient Intelligence (AmI 2009), Poster paper, (Nov. 2009).
  62. Takuya Maekawa, Y. Yanagisawa, Y. Sakurai, Y. Kishino, K. Kamei, and T. Okadome: Web Searching for Daily Living, Proc. of International ACM SIGIR Conference (SIGIR 2009), pp. 27-34 (July 2009). (Acceptance rate = 78/494 =16%) [pdf]
  63. Y. Kishino, Y. Sakurai, K. Kamei, Y. Yanagisawa, Takuya Maekawa, and T. Okadome: Hierarchical Clustering for Efficient Data Gathering in High-Density Sensor Networks, International Conf. on Pervasive Computing (PERVASIVE 2009), LBR paper.
  64. Y. Yanagisawa, Takuya Maekawa, Y. Kishino, Y. Sakurai, and T. Okadome: A Relative Positioning Technique with Low-frequency Waves, International Conf. on Pervasive Computing (PERVASIVE 2009), LBR paper.
  65. Y. Kishino, Y. Sakurai, K. Kamei, Y. Yanagisawa, Takuya Maekawa, and T. Okadome: Data Gathering in High-Density Wireless Sensor Networks using Hierarchical Clustering, Proc. of IEEE International Symposium on Wireless Communication Systems (ISWCS '08), pp. 547-551 (Oct. 2008).
  66. K. Kamei, Y. Yanagisawa, Takuya Maekawa, Y. Kishino, Y. Sakurai, T. Okadome: A Labeling Tool for a Sensor Networked Environment with a Real-world Knowledge Construction Model, Int'l Conference on Ubiquitous Computing (UbiComp 2008), Poster (Sep. 2008).
  67. Takuya Maekawa, Y. Yanagisawa, Y. Sakurai, Y. Kishino, K. Kamei and T. Okadome: Web Page Retrieval in Ubiquitous Sensor Environments, Proc. of International ACM SIGIR Conference (SIGIR 2008), Poster paper, pp. 759-760 (July 2008). (Acceptance rate = 85full + 9poster/496 =19%)
  68. Y. Yanagisawa, Takuya Maekawa, Y. Kishino, Y. Sakurai, and T. Okadome: Estimation of Relative Position between Real Objects using Sensor Nodes, Proc. of Intl. Conf. on Pervasive Services (ICPS 2008), pp. 61-64 (July 2008).
  69. Takuya Maekawa, Y. Yanagisawa, Y. Kishino K. Kamei ,Y.Sakurai, and T. Okadome: Tag and Think: Inferring what a sensor node is attached to, Proc. of International Conference on Pervasive Services (ICPS 2008), pp. 27-36 (July 2008).
  70. T. Kanda, Y. Yanagisawa, Takuya Maekawa, M. Imai, and T. Okadome: Contact-based Notation for Describing Rules on Sensor Nodes, Proc. of Intl. Workshop on Sensor Network Technologies for Information Explosion Era (SeNTIE2008), pp. 159-165 (May 2008).
  71. K. Kamei, Y. Yanagisawa, Takuya Maekawa, Y. Kishino, Y. Sakurai, and T. Okadome: Tagging Strategies for Extracting Real-world Events with Networked Sensors, Proc. of ICMI07 Workshop on Tagging, Mining and Retrieval of Human-Related Activity Information, pp. 36-43 (Nov. 2007).
  72. Takuya Maekawa, Y. Yanagisawa, and T. Okadome: Towards Environment Generated Media: Object-participation-type Weblog in Home Sensor Network, Proc. of International World Wide Web Conference (WWW 2007), Poster paper, pp. 1267-1268 (May 2007). [pdf]
  73. T. Kanda, Y. Yanagisawa, Takuya Maekawa, M. Imai, H. Kawashima, T. Okadome: A Distributed Inference System on Sensor Nodes using Neighbors' Context Data, Proc. of IEEE International Workshop on Databases for Next-Generation Researchers (SWOD 2007), pp. 116-121 (Mar. 2007).
  74. Takuya Maekawa, T. Hara, and S. Nishio: Image Classification for Mobile Web Browsing, Proc. of International World Wide Web Conference (WWW 2006), pp. 43-52 (May 2006). (Acceptance rate = 75/667 =11%) [pdf]
  75. Y. Arase, Takuya Maekawa, T. Hara, and S. Nishio: A Web Browsing System based on Adaptive Presentation of Web Contents for Cellular Phones, Proc. of International Cross-Disciplinary Workshop on Web Accessibility 2006 (W4A 2006), pp. 86-89 (May 2006).
  76. K. Nakayama, Takuya Maekawa, H. Tomiyasu, T. Hara, and S. Nishio: GeoNote.net: A Social Network System for Geographic Information, Proc. of Int'l Workshop on Tools and Applications on Mobile Contents (TAMC 2006), pp. 46-53 (May 2006).
  77. H. Tomiyasu, Takuya Maekawa, T. Hara, and S. Nishio: Profile-based Query Routing in a Mobile Social Network, Proc. of Int'l Workshop on Future Mobile and Ubiquitous Information Technologies (FMUIT 2006), pp. 101-104 (May 2006).
  78. Takuya Maekawa, T. Hara, and S. Nishio: A Collaborative Web Browsing System for Multiple Mobile Users, Proc. of IEEE Int'l Conf. on Pervasive Computing and Communications (PerCom 2006), pp. 22-35 (Mar. 2006). (Acceptance rate = 23/280 =8%) [pdf]
  79. Takuya Maekawa, T. Uemukai, T. Hara, and S. Nishio: Content Description and Partitioning Methods for Collaborative Browsing by Multiple Mobile Users, Proc. of Int'l Workshop on Mobility in Databases and Distributed Systems (MDDS 2005), pp. 1068-1072 (Aug. 2005)
  80. H. Tomiyasu, Takuya Maekawa, T. Hara, and S. Nishio: Social Network Applications using Cellular Phones with E-mail Function, Proc. of Int'l Special Workshop on Databases for Next Generation Researchers (SWOD 2005), pp. 136-139 (Apr. 2005).
  81. Takuya Maekawa, T. Uemukai, T. Hara, and S. Nishio: A Java-Based Information Browsing System in a Remote Display Environment, Proc. of IEEE Int'l Conf. on E-Commerce Technology (CEC 2004), pp. 342-346 (July 2004).
Demo
  1. Takuya Maekawa, A. Kimura, and H. Sakano: Wearable Sensor Device for Automatic Recording of Hand Drawings, Asian Conference on Computer Vision, demo session (Nov. 2010).
  2. Takuya Maekawa, Y. Yanagisawa, and T. Okadome: Weblog to which Daily Objects Post Entries in Sensor Networked Environment, Int'l Conference on Ubiquitous Computing (UbiComp 2007), demo session (Sept. 2007).
  3. Takuya Maekawa, T. Hara, and S. Nishio: Two Aproaches to Browse Large Web Pages using Mobile Devices, Int'l Conference on Mobile Data Management (MDM 2006) (May 2006).
  4. Takuya Maekawa, T. Hara, and S. Nishio: Automatic Web Page Browsing for Mobile Users, Int'l Workshop on Biologically Inspired Approaches to Advanced Information (Bio-adit2006) (Jan. 2006).
Publications (DBLP)
Publications (Google Scholar Citations)
Press (English Only)
  1. NTT creating sensors for seniors, The Japan Times, Feb. 24, 2011.
  2. Japan company developing sensors for seniors, The Washington Post, Yahoo! News, abc NEWS, Forbes, Bloomberg, The Boston Globe, The Seattle Times, THE AGE, National Public Radio, CBS NEWS (Associated Press), Feb. 22, 2011.

Invited talk and Seminar (English Only)
  1. Takuya Maekawa: IoT on Animals: Using On-device Activity Recognition Techniques to Unveil the Secrets of Animal Behavior, Invited Talk, ACM MobiSys 2023, IoT Day, June 2023.
  2. Takuya Maekawa: Machine Learning-assisted Animal Activity Sensing and Understanding, Keynote Talk, IJCAI2020 Workshop on AI4IoT, Jan. 2021.
  3. Takuya Maekawa: Deep learning-aided knowledge discovery from animal behavioral data, Neuro 2019 (July, 2019).
  4. Takuya Maekawa: Time-series analysis for animal behavior understanding, Invited talk, The 50th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (Nov. 2018).
  5. Takuya Maekawa: Sensing and understanding real-world: Knowledge discovery from human and animal activity data, Keynote speech, The Sixth Asian Conference on Information Systems (ACIS 2017) (Dec. 2017).
  6. Takuya Maekawa: Knowledge discovery from animal locomotion data, Tutorial Workshops on Systems Science of Bio-navigation, 2017 IEEE International Conference on Mechatronics and Automation (ICMA 2017) (Aug. 2017).
  7. Takuya Maekawa: Good pervasive computing studies require laborious data labeling efforts: Our experience in activity recognition and indoor positioning studies, Keynote Speech, PerCom 2017 Workshop on Annotation of useR Data for UbiquitOUs Systems (ARDUOUS2017) (Mar, 2017).
  8. Takuya Maekawa: Understanding real-world events with multi-modal sensor data from ubiquitous, wearable, and smartphone sensors, Keynote Speech, ICME Workshop on Cross-media Analysis for Social Multimedia (CASM2014) (July, 2014).
  9. Takuya Maekawa: Sensor-based Context Understanding for Healthcare Applications, International Symposium on Wearable Health Care Sensors (Oct., 2013).
  10. Takuya Maekawa: Real World Web Data Engineering: Sensor and Web Data Processing for Real World Applications, The 21st Grace Seminar (May, 2009).

Awards (English Only)
  1. Naoya Yoshimura, Takuya Maekawa, and Takahiro Hara: Best Poster Award: Preliminary Investigation of Visualizing Human Activity Recognition Neural Network, The 12th International Conference on Mobile Computing and Ubiquitous Networking (ICMU 2019), Nov. 2019.
  2. Takuya Maekawa: IPSJ/IEEE Computer Society Young Computer Researcher Award, Outstanding research on zero-shot and few-shot unobtrusive context recognition for pervasive computing, June 2019.
  3. Tomoya Nakatani, Ryohei Kuga, and Takuya Maekawa: Best Student Paper Award, PerCom International Workshop on Behavior analysis and Recognition for knowledge Discovery (BiRD 2019), Object-Based Activity Recognition Using Egocentric Video Based on Web Knowledge, Mar. 2019.
  4. Toshimitsu Kamiya, Tatsuya Nakamura, Takuya Maekawa, Daichi Amagata, and Takahiro Hara: Best Student Paper Award, PerCom International Workshop on Behavior analysis and Recognition for knowledge Discovery (BiRD 2019), Estimating User Contexts from Mobile Application Usage Histories, Mar. 2019.
  5. Naoya Yoshimura, Takuya Maekawa, Daich Amagata, and Takahiro Hara: PerCom 2018 Best WiP Paper Award: Preliminary Investigation of Fine-grained Gesture Recognition with Signal Super-resolution, IEEE Int'l Conf. on Pervasive Computing and Communications (PerCom 2018), Mar. 2018.
  6. Yasuo Namioka, Daisuke Nakai, Kazuya Ohara, and Takuya Maekawa: Automatic Measurement of Lead Time of Repetitive Assembly Work in a Factory Using a Wearable Sensor, Journal of Information Processing IPSJ Specially Selected Paper, Oct. 2017.
  7. Murilo M. Marinho, Yuki Yatsushima, Takuya Maekawa and Yasuo Namioka: 4th international Workshop on Sensor-based Activity Recognition and Interaction (iWoar 2017) Runner-up Paper Award, Sept. 2017.
  8. Kazuya Ohara, Takuya Maekawa, Yasue Kishino, Yoshinari Shirai and Futoshi Naya: Best Poster Award, Asian Conf. on Information Systems (ACIS 2015), Preliminary Investigation of Low-cost Device-free Passive Indoor Positioning using Model Transfer, Oct. 2015.
  9. Daisuke Taniuchi and Takuya Maekawa: Student Best Paper Award, IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob 2014), Robust Wi-Fi based Indoor Positioning with Ensemble Learning, Oct. 2014.
  10. A. Masuda and T. Maekawa: Best Poster Award, Asian Conf. on Information Systems (ACIS 2013), Identifying Physical Traits with Body-worn Accelerometers: A Preliminary Investigation, Nov. 2013.
  11. Takuya Maekawa and Shinji Watanabe: Best Paper Nominee, IEEE International Symposium on Wearable Computers (ISWC 2011), Unsupervised Activity Recognition with User's Physical Characteristics Data (June 2011).
  12. Kotaro Nakayama, Takuya Maekawa, Tsukasa Ooi, Yuichi Shiwaku, Microsoft Imagine Cup 2006 Software Design WORLD FINALIST, Aug. 2006.

Social Activity
  • IEEE International Conference on Pervasive Computing and Communications (PerCom 2019), Working In Progress Session Chair.
  • International Workshop on Behavior analysis and Recognition for knowledge Discovery (BiRD 2019) collocated with IEEE PerCom 2019, Organizer.
  • 6TH INTERNATIONAL CONFERENCE ON DISTRIBUTED, AMBIENT AND PERVASIVE INTERACTIONS (DAPI 2018), Board member.
  • 2nd International Workshop on Annotation of useR Data for UbiquitOUs Systems (ARDUOUS 2018), Program Committee.
  • 9th EAI International Conference on Mobile Computing, Applications and Services (MobiCASE 2018), Technical Program Committee.
  • Int'l Symp. on Wearable Computers (ISWC 2017), Technical Program Committee.
  • Int'l Joint Conf. on Pervasive and Ubiquitous Computing (UbiComp 2016), Reviewer.
  • International ACM SIGIR Conference (SIGIR 2016), Poster Program Committee.
  • Asian Conference on Information Systems (ACIS 2015), Program Co-Chair.
  • Int'l Joint Conf. on Pervasive and Ubiquitous Computing (UbiComp 2015), Secretary, Technical Program Committee.
  • International ACM SIGIR Conference (SIGIR 2015), Poster Program Committee.
  • International ACM SIGIR Conference (SIGIR 2014), Poster Program Committee.
  • IEEE International Conference on Pervasive Computing and Communications (PerCom 2014), Technical Program Committee.
  • International ACM SIGIR Conference (SIGIR 2013), Poster Program Committee.
  • Asian Conference on Information Systems (ACIS 2013), Publication Co-Chair.
  • International Conference on Ubiquitous Computing (UbiComp 2012), Reviewer.
  • International ACM SIGIR Conference (SIGIR 2012), Poster Program Committee.
  • International Symposium on Wearable Computers (ISWC 2012), Reviewer.
  • ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS 2012), Reviewer.
  • International Conference on Pervasive Computing (Pervasive 2012), External Reviewer.
  • International ACM SIGIR Conference (SIGIR 2011), Poster Program Committee.
  • IEEE International Symposium on Mining and Web (MAW 2011), PC member.
  • IEEE International Symposium on Mining and Web (MAW 2010), PC member.
  • ACM Conference on Human Factors in Computing Systems (CHI 2009), External Reviewer.
  • IEEE International Symposium on Mining and Web (MAW 2009), PC member.
  • IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PacRim 2007), PC member (Aug. 2007).
  • International Conference on Database Systems for Advanced Applications (DASFAA 2007), PC member (Apr. 2007).
  • International Conference on Smart Homes and Health Telematics (ICOST 2007), Organizing Comittee (June 2007).