Accurate activity recognition using a mobile phone regardless of device orientation and location

Proceedings - 2011 International Conference on Body Sensor Networks, BSN 2011

Volumn , Issue , 2011, Pages 41-46

  Henpraserttae, Apiwat ^a   Thiemjarus, Surapa ^a   Marukatat, Sanparith ^b  

^a THAMMASAT UNIVERSITY   (Thailand)

^b NATIONAL ELECTRONICS AND COMPUTER TECHNOLOGY CENTER   (Thailand)

Author keywords

Accelerometer; Activity recognition; Device location independent; Device orientation independent; Mobile phone

Indexed keywords

ACCELERATION SIGNALS; ACTIVITY MONITORING; ACTIVITY RECOGNITION; CO-ORDINATE SYSTEM; DAILY ACTIVITY; DATA SETS; DEVICE-LOCATION INDEPENDENT; DEVICE-ORIENTATION INDEPENDENT; RIGID BODY; SIGNAL TRANSFORMATION;

ACCELEROMETERS; BODY SENSOR NETWORKS; DISTILLATION; MOBILE PHONES; MOBILE TELECOMMUNICATION SYSTEMS; SENSOR NETWORKS; SENSORS; TELECOMMUNICATION EQUIPMENT; TELEPHONE; TELEPHONE SETS;

EQUIPMENT;

EID: 80051962951     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BSN.2011.8     Document Type: Conference Paper

References (31)

1. G. Z. Yang, Body Sensor Networks. London: Springer-Verlag, 2006.
2. P. L. L. Benny, S. Thiemjarus, A. King, and G. Z. Yang, "Body Sensor Network - a wirelesssensor platform for pervasive healthcare monitoring," Proceedings of the International Conference on Pervasive Computing, Munich, Germany, pp. 77-80, 2005.
3. W. Y. Chung, Y. D. Lee, and S. J. Jung, "A wireless sensor network compatible wearable u-healthcare monitoring system using integrated ECG, accelerometer and SpO2" Proceedings of the IEEE International Conference on Engineering in Medicine and Biology Society, Vancouver, Canada, pp. 1529-1532, 2008.
4. B. Lo, L. Atallah, O. Aziz, M. E. Elhew, A. Darzi, and G. Z. Yang, "Real-time pervasive monitoring for postoperative care," Proceedings of the International Workshop on Wearable and Implantable Body Sensor Networks, Aachen, Germany, pp. 122-127, 2007.
5. J. Pansiot, A. Elsaify, B. Lo, and G. Z. Yang, "RACKET: Realtime autonomous computation of kinematic elements in tennis" Proceedings of the IEEE International Conference on Computer Vision Workshops, pp. 773-779, 2009.
6. H. Ghasemzadeh, "Coordination analysis of human movements with body sensor networks: a signal processing model to evaluate baseball swings," IEEE Sensors Journal, pp. 1-8, 2010.
7. J. Pansiot, B. Lo, and G. Z. Yang, "Swimming stroke kinematic analysis with BSN," Proceedings of the International Conference on Body Sensor Networks, Singapore, pp. 153-158, 2010.
8. C. H. Wu, Y. T. Chang, and Y. C. Tseng, "Multi-screen cyber-physical video game An integration with body-area inertial sensor networks," Proceedings of the IEEE International Conference on Pervasive Computing and Communications, Mannheim, Germany, pp. 832-834, 2010.
9. K. Zintus-art, S. Saetia, V. Pongparnich, and S. Thiemjarus, "Dogsperate escape: a demonstration of real-time BSN-based game control with e-AR sensor," Proceedings of the Fifth International Conference on Knowledge, Information and Creativity Support Systems, Chiang Mai, Thailand, 2010.
10. L. Nachman, J. Huang, R. Kong, R. Shah, J. Shahabdeen, C. Wan, and M. Yarvis, "On-body health data aggregation using mobile phones," Proceedings of the International Workshop on Sensing on Everyday Mobile Phones in Support of Participatory Research, New South Wales, Australia, 2007.
11. R. Shahriyar, M. F. Bari, G. Kundu, S. I. Ahamed, and M. M. Akbar, "Intelligent Mobile Health Monitoring System (IMHMS)," Proceedings of Electronic Healthcare, Casablanca, Morocco, pp. 13-28, 2010.
12. Y. Hanai, J. Nishimura, and T. Kuroda, "Haar-like filtering for human activity recognition using 3D accelerometer," the Fifth IEEE Signal Processing Education Workshop. Florida, USA, pp. 675-678, 2009
13. S. H. Lee, H. D. Park, S. Y. Hong, K. J. Lee, and Y. H. Kim, "A study on the acitivy classification using a triaxial accelerometer," Proceedings of the International Conference on Enginerring in medicine and Biology Society, Cancun, Mexico, 2003.
14. A. Y. Jeon, J. H. Kim, I. C. Kim, J. H. Jung, S. Y. Ye, J. H. Ro, S. H. Yoon, J. M. Son, B. C. Kim, B. J. Shin, and G. R. Jeon, "Implementation of the personal emergency response system using a 3-axial accelerometer," Proceedings of the International Special Topic Conference on Information Technology Applications in Biomedicine, Tokyo, Japan, pp. 223-226, 2007.
15. A. M. Khan, Y. K. Lee, and T. S. Kim, "Accelerometer signal-based human activity recognition using augmented autoregressive model coefficients and artificial neural nets," Proceedings of the IEEE International Conference on Medical and Biology Society, Vancouver, Canada, pp. 5172-5175, 2008.
16. M. Berchtold, M. Budde, D. Gordon, and H. Schmidtke, "ActiServ: activity recognition service for mobile phones," Proceedings of the IEEE International Symposium on Wearable Computers, Seoul, South Korea, pp. 1-9, 2010.
17. G. Bieber, J. Voskamp, and B. Urban, "Activity recognition for everyday life on mobile phones," Proceedings of the International Conference on Human-Computer Interaction, San Diego, USA, pp. 289-296, 2009.
18. D. Choujaa and N. Dulay, "TRAcME: temporal activity recognition using mobile phone data," Proceedings of the International Conference on Embedded and Ubiquitous Computing, Shanghai, China, pp. 119-126, 2008.
19. L. Sun, D. Zhang, B. Li, B. Guo, and S. Li, "Activity recognition on an accelerometer embedded mobile phone with varying positions and orientations" Proceedings of the International Conference on Ubiquitous Intelligence and Computing, Xi'an, China, pp. 548-562, 2010.
20. J. R. Kwapisz, G. M. Weiss, and S. A. Moore, "Activity recognition using cell phone accelerometers," Proceedings of the International Workshop on Knowledge Discovery from Sensor Data, Washington, USA, pp. 10-18, 2010.
21. T. P. Kao, C. W. Lin, and J. S. Wang, "Development of a portable activity detector for daily activity recognition," Proceedings of the IEEE International Symposium on Industrial Electronics, Seoul, South Korea, pp. 115-120, 2009.
22. S. Theimjarus, "A device-orientation independent method for activity recognition," Proceedings of the International Conference on Body Sensor Networks, Biopolis, Singapore, pp. 19-23, 2010.
23. K. Kunze, P. Lukowicz, H. Junker, and G. Troster, "Where am I: recognizing on-body positions of wearable sensors," Proceedings of the International Workshop on Locationand Context-Awareness, Munich, Germany, pp. 264-275, 2005. (Pubitemid 41313092)
24. D. Mizell, "Using gravity to estimate accelerometer orientation," Proceedings of the IEEE International Symposium on Wearable Computers, New York, USA, pp. 252-253, 2003.
25. J. Yang, "Toward physical activity diary: motion recognition using simple acceleration features with mobile phone," Proceedings of the International Workshop on Interactive Multimedia for Customer Electronics, Beijing, Chaina, pp. 1-9.
26. Z. He, Z. Liu, L. Jin, L. Zhen, and J. Huang, "Weightlessness feature - a novel feature for single tri-axial acceletometer based acitivity recognition," Proceedings of the International Conference on Pattern Recognition, Florida, USA, pp. 1-4, 2008.
27. P. Theekakul, S. Thiemjarus, E. Nantajeewarawat, T. Supnithi, and K. Hirota, "A rule-based approach to activity recognition," Proceedings of the International Conference on Information and Communication Technology for Embedded Systems, Pattaya, Thailand, 2011.
28. A. Henpraserttae, S. Thiemjarus, C. Nattee, S. Marukatat, and T. Kobayashi, "Device-orientation independent activity recognition using mobile phone," Proceedings of the International Conference on Information and Communication Technology for Embedded Systems, Pattaya, Thailand, 2011.
29. "iPhone," http://www.apple.com/iphone/.
30. F. Ichikawa, J. Chipchase, and R. Grignani, "Where's the phone? a study of mobile location in public spaces," Proceedings of the International Conference on Mobile Technology, Applications and Systems, pp. 1-8, 2005.
31. D. Aha and D. Kibler, "Instance-Based Learning Algorithms," Machine Learning, vol. 6, pp. 37-66, 1991. (Pubitemid 21727227)