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Biography
  • 2003.03 大阪大学工学部卒業
  • 2004.03 大阪大学大学院 情報科学研究科 博士前期課程修了
  • 2006.03 大阪大学大学院 情報科学研究科 博士後期課程修了
  • 2006.04 NTT入社 コミュニケーション科学基礎研究所配属
  • 2012.04- 大阪大学大学院 情報科学研究科 マルチメディア工学専攻 准教授
  • 2013.08-10 スイス連邦工科大学ローザンヌ校 招聘教授
  • 2014.08- 国際電気通信基礎技術研究所 客員研究員・連携研究員
Research Interests
  • ウェアラブル/ユビキタスセンシング
  • 機械学習によるセンサデータ処理
  • 行動センシング・認識
  • 屋内位置推定
  • IoT (Internet of Things)
  • バイオロギング
  • 動物行動
  • Webコンテンツ処理

Selected Publications
  1. Heng Zhou and Takuya Maekawa*: Predicting Signal Reception Information from GNSS Satellites in Indoor Environments without Site Survey: Towards Opportunistic Indoor Positioning based on GNSS Fingerprinting, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Vol. 8, Issue 3, No. 105 (September 2024). (Presented at UbiComp 2024)
  2. 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).
  3. 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 (April 2024). [Journal cover picture]
  4. 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).
  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. 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).
  7. 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).
  8. 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)
  9. 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)
  10. 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)
  11. 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).
  12. 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).
  13. 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.
  14. 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).
  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. Qingxin Xia, 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).
  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. Quan 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%)
  41. 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]
  42. 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]
  43. 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]
  44. 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]
  45. 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]
  46. 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]
  47. 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]
  48. 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]
  49. 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]
  50. 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]
  51. 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]
  52. 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]
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大阪大学大学院 情報科学研究科 マルチメディア工学専攻
〒565-0871 大阪府吹田市山田丘 1-5 情報科学研究科A棟2階 A205
Tel: 06-6879-4511 Fax: 06-6879-4514