Japanese

Interests
  • Wearable/Ubiquitous Sensing
  • Activity Recognition
  • Lifelogging
  • Web Contents Engineering

Projects
Hand-based Activity Recognition Project
This project aims to recognize high-level activity
recognition by focusing on objects that a user is
using with her hands.

Environment-Generated Content Project
This project aims to provide users with sensor data
obtained in ubiquitous sensor environment in user-
friendly formatted web content.

Publications (English Only)
Selected
  1. T. Miyanishi, J. Hirayama, Q. Kong, T. Maekawa, H. Moriya and T. Suyama: Egocentric Video Search via Physical Interactions, Proc. of the 30th AAAI Conference on Artificial Intelligence (AAAI-16), pp. - (Feb. 2016). (Acceptance rate = / = %)
  2. J. Korpela, R. Miyaji, T. 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 = 92/394 = 23.3%)
  3. K. Ohara, T. 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 = 92/394 = 23.3%)
  4. J. Korpela, K. Takase, T. Hirashima, T. 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%)
  5. D. Taniuchi, X. Liu, D. Nakai, and T. 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]
  6. D. Taniuchi and T. 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]
  7. T. Maekawa, N. Yamashita, and Y. 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).
  8. Q. Kong and T. 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%)
  9. Q. Kong and T. 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]
  10. Y. Tsuda, Q. Kong, and T. 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]
  11. T. Hirano and T. 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]
  12. T. Maekawa, Y. Kishino, Y. Sakurai, and T. Suyama: Activity Recognition with Hand-worn Magnetic Sensors, ACM/Springer Personal and Ubiquitous Computing (ACM/Springer PUC), Vol. 17, Issue 6, pp. 1085-1094 (Aug. 2013). [Impact Factor(2013): 1.616]
  13. T. Maekawa and S. 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]
  14. T. 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%)[pdf]
  15. T. 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%)[pdf]
  16. T. Maekawa, Y. Yanagisawa, Y. Sakurai, Y. Kishino, K. Kamei, and T. 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]
  17. T. 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]
  18. T. 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]
  19. T. 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]
  20. T. 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]
  21. T. 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]
  22. T. 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]
  23. T. 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]
Full Publications
Journal & Magazine
  1. 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).
  2. 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).
  3. 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).
  4. D. Taniuchi, X. Liu, D. Nakai, and T. 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]
  5. D. Taniuchi and T. 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]
  6. T. Maekawa, N. Yamashita, and Y. 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).
  7. Y. Yasuda and T. 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).
  8. Q. Kong and T. 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]
  9. T. Maekawa, Y. Kishino, Y. Sakurai, and T. 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]
  10. T. Maekawa and S. 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]
  11. T. Maekawa, Y. Yanagisawa, Y. Sakurai, Y. Kishino, K. Kamei, and T. 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]
  12. T. Okadome, Y. Kishino, T. 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).
  13. K. Kamei, Y. Yanagisawa, T. 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).
  14. T. 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).
  15. T. 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]
  16. Y. Arase, T. 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).
  17. T. Okadome,, Y. Kishino, T. 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).
  18. T. 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. J. Korpela, T. 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).
  2. 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).
  3. 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).
  4. T. Miyanishi, J. Hirayama, Q. Kong, T. Maekawa, H. Moriya and T. Suyama: Egocentric Video Search via Physical Interactions, Proc. of the 30th AAAI Conference on Artificial Intelligence (AAAI-16), pp. - (Feb. 2016). (Acceptance rate = / = %)
  5. 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.
  6. 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 [Best Poster Award].
  7. J. Korpela, R. Miyaji, T. 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 = 92/394 = 23.3%)
  8. K. Ohara, T. 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 = 92/394 = 23.3%)
  9. J. Korpela, K. Takase, T. Hirashima, T. 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%)
  10. D. Taniuchi and T. 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]
  11. Q. Kong and T. 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%)
  12. Y. Tsuda, Q. Kong, and T. 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]
  13. T. Hirano and T. 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]
  14. T. 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).
  15. T. 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%)
  16. T. 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%)
  17. T. 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).
  18. T. 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%)
  19. T. 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]
  20. T. 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]
  21. T. 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]
  22. 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).
  23. S. Yoshioka, Y. Hirano, S. Kajita, K. Mase, and T. Maekawa: Semi-automatic Story Creation System in Ubiquitous Sensor Environment, Proc. of European Conference on Ambient Intelligence (AmI 2009), pp. 106-111, (Nov. 2009).
  24. T. 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).
  25. T. 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]
  26. Y. Kishino, Y. Sakurai, K. Kamei, Y. Yanagisawa, T. Maekawa, and T. Okadome: Hierarchical Clustering for Efficient Data Gathering in High-Density Sensor Networks, International Conf. on Pervasive Computing (PERVASIVE 2009), LBR paper.
  27. Y. Yanagisawa, T. 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.
  28. Y. Kishino, Y. Sakurai, K. Kamei, Y. Yanagisawa, T. 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).
  29. K. Kamei, Y. Yanagisawa, T. 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).
  30. T. 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%)
  31. Y. Yanagisawa, T. 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).
  32. T. 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).
  33. T. Kanda, Y. Yanagisawa, T. 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).
  34. K. Kamei, Y. Yanagisawa, T. 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).
  35. T. 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]
  36. T. Kanda, Y. Yanagisawa, T. 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).
  37. T. 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]
  38. Y. Arase, T. 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).
  39. K. Nakayama, T. 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).
  40. H. Tomiyasu, T. 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).
  41. T. 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]
  42. T. 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)
  43. H. Tomiyasu, T. 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).
  44. T. 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. T. 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. T. 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. T. 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. T. 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: 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).
  2. T. Maekawa: Sensor-based Context Understanding for Healthcare Applications, International Symposium on Wearable Health Care Sensors (Oct., 2013).
  3. Takuya Maekawa: Real World Web Data Engineering: Sensor and Web Data Processing for Real World Applications, The 21st Grace Seminar (May, 2009).

Social Activity
  • 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).