Motion- and location-based online human daily activity recognition

Pervasive and Mobile Computing

Volumn 7, Issue 2, 2011, Pages 256-269

  Zhu, Chun ^a   Sheng, Weihua ^a  

^a Oklahoma State University   (United States)

Author keywords

Activity recognition; Sensor fusion; Wearable computing

Indexed keywords

COMPUTATION THEORY; LOCATION; PATTERN RECOGNITION; VITERBI ALGORITHM;

ACTIVITY RECOGNITION; HUMAN DAILY ACTIVITY RECOGNITION; LOCATION INFORMATION; OPTICAL MOTION CAPTURE; SENSOR FUSION; SEQUENTIAL CONSTRAINTS; TWO-STEP ALGORITHMS; WEARABLE COMPUTING;

WEARABLE SENSORS;

EID: 79955910724     PISSN: 15741192     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.pmcj.2010.11.004     Document Type: Article

References (32)

1. Baby boomers aging needs. http://www.Babyboomercaretaker.com, October 2008.
2. C. Zhu, W. Sheng, Multi-sensor fusion for human daily activity recognition in robot-assisted living, in: Proceedings of the 4th ACM/IEEE International Conference on Human Robot Interaction, 2009, pp. 303304.
3. C. Zhu, W. Sheng, Human daily activity recognition in robot-assisted living using multi-sensor fusion, in: IEEE International Conference on Robotics and Automation, 2009, pp. 21542159.
4. H.A. Yanco, J.L. Drury, Classifying human-robot interaction: an updated taxonomy, in: Proceedings of 2004 IEEE International Conference on Systems, Man and Cybernetics, 2004, pp. 28412846. (Pubitemid 40408596)
5. T.B. Moeslunda, A. Hiltonb, and V. Kruger A survey of advances in vision-based human motion capture and analysis Computer Vision and Image Understanding 2006 90 126 (Pubitemid 44573873)
6. B. Najafi, K. Aminian, A. Paraschiv-Ionescu, F. Loew, C.J. Bula, and P. Robert Ambulatory system for human motion analysis using a kinematic sensor: monitoring of daily physical activity in the elderly IEEE Transactions on Biomedical Engineering 50 2003 711 723 (Pubitemid 36723605)
7. U. Maurer, A. Smailagic, D.P. Siewiorek, M. Deisher, Activity recognition and monitoring using multiple sensors on different body positions, in: Proceedings of the International Workshop on Wearable and Implantable Body Sensor Networks, 2006, pp. 113116. (Pubitemid 44711293)
8. G. Bauer, and P. Lukowicz Developing a sub room level indoor location system for wide scale deployment in assisted living systems Lecture Notes in Computer Science 2008 1057 1064
9. G. Bieber, A. Hoffmeyer, E. Gutzeit, C. Peter, B. Urban, Activity monitoring by fusion of optical and mechanical tracking technologies for user behavior analysis, in: Proceedings of the 2nd International Conference on Pervasive Technologies Related to Assistive Environments, 2009, p. 45.
10. V. Parameswaran, and R. Chellappa View independent human body pose estimation from a single perspective Computer Vision and Pattern Recognition 2004
11. S. Park, and M.M. Trivedi Multi-person interaction and activity analysis: a synergistic track- and body-level analysis framework Machine Vision and Applications 2007 151 166 (Pubitemid 46870860)
12. L. Bao, S.S. Intille, Activity recognition from user-annotated acceleration data, in: PERVASIVE 2004, 2004, pp. 117.
13. A.Y. Yang, S. Iyengar, S. Sastry, R. Bajcsy, P. Kuryloski, R. Jafari, Distributed segmentation and classification of human actions using a wearable motion sensor network, in: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2008, pp. 18.
14. L. Atallah, B. Lo, R. Ali, R. King, and G. Yang Real-time activity classification using ambient and wearable sensors IEEE Transactions on Information Technology in Biomedicine 2009 1031 1039
15. O. Amft, H. Junker, P. Lukowicz, G. Troster, C. Schuster, Sensing muscle activities with body-worn sensors, in: International Workshop on Wearable and Implantable Body Sensor Networks, 2006, p. 4.
16. K. Aminian, Ph. Robert, E.E. Buchser, B. Rutschmann, D. Hayoz, and M. Depairon Physical activity monitoring based on accelerometry: validation and comparison with video observation Medical and Biological Engineering and Computing 3 1999 304 308 (Pubitemid 29265291)
17. A. Raj, A. Subramanya, D. Fox, and J. Bilmes Rao-blackwellized particle filters for recognizing activities and spatial context from wearable sensors Experimental Robotics 2008 211 221 (Pubitemid 351223264)
18. N.F. Ince, C.H. Min, A. Tewfik, and D. Vanderpool Detection of early morning daily activities with static home and wearable wireless sensors EURASIP Journal on Advances in Signal Processing 2008 1 11
19. T. Mitchell Decision tree learning Machine Learning 1997 52 78
20. D. Lowd, P. Domingos, Naive Bayes models for probability estimation, in: Proceedings of the 22nd International Conference on Machine Learning, 2005.
21. L.R. Rabiner A tutorial on hidden Markov models and selected application in speech recognition Proceedings of the IEEE 77 1989 267 296
22. J. Lester, T. Choudhury, N. Kern, G. Borriello, B. Hannaford, A hybrid discriminative/generative approach for modeling human activities, in: Proc. of the International Joint Conference on Artificial Intelligence IJCAI, 2005, pp. 766772.
23. VectorNav Technologies, 2010. http://www.vectornav.com/.
24. Inc. NaturalPoint, OptiTrack™optical motion capture solutions, 2009.
25. J. Bloit, X. Rodet, Short-time Viterbi for online HMM decoding: evaluation on a real-time phone recognition task, in: Acoustics, Speech and Signal Processing, 2008, ICASSP 2008, IEEE International Conference on, 2008, pp. 21212124.
26. M.T. Hagan, H.B. Demuth, and M.H. Beale Neural Network Design 1996 PWS Publishing Company
27. A.J. Viterbi Error bounds for convolutional codes and an asymptotically optimal decoding algorithm IEEE Transactions on Information Theory 13 1967 260 269
28. C. Zhu, Human daily activity recognition for the assisted living system, 2009. http://www.youtube.com/watch?v=rpQoVUcEeQQ.
29. O. Brdiczka, P. Reignier, and J.L. Crowley Detecting individual activities from video in a smart home Lecture Notes in Computer Science 2010 363 370
30. L.N. Abdullah, S.A.M. Noah, Metadata generation process for video action detection, International Symposium on Information Technology, ITSim 2008, 2008, pp. 15.
31. C. Yeo, P. Ahammad, K. Ramchandran, and S.S. Sastry High-speed action recognition and localization in compressed domain videos IEEE Transactions on Circuits and Systems for Video Technology 2008 1006 1015
32. D. Wilson, C. Atkeson, Simultaneous tracking & activity recognition (star) using many anonymous, binary sensors, in: Proceedings of PERVASIVE, 2005, pp. 6279.