Impact of sensor misplacement on dynamic time warping based human activity recognition using wearable computers

Proceedings - Wireless Health 2012, WH 2012

Volumn , Issue , 2012, Pages

  Kale, Nimish ^a   Lee, Jaeseong ^a   Lotfian, Reza ^a   Jafari, Roozbeh ^a  

^a UNIVERSITY OF TEXAS AT DALLAS   (United States)

Author keywords

Dynamic Time Warping; Human Activity Recognition; Optical Motion Capture; Sensor Positioning; Wearable computers

Indexed keywords

CLASSIFICATION ACCURACY; DAILY LIVING ACTIVITIES; DYNAMIC TIME WARPING; HUMAN-ACTIVITY RECOGNITION; OPTICAL MOTION CAPTURE; SENSOR CONFIGURATIONS; SENSOR POSITIONING; TEMPLATE MATCHING METHOD;

INERTIAL NAVIGATION SYSTEMS; PATTERN MATCHING; SENSOR NETWORKS; SENSOR NODES; SIGNAL PROCESSING;

WEARABLE COMPUTERS;

EID: 84876257028     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2448096.2448103     Document Type: Conference Paper

References (14)

1. Y. Jia, "Diatetic and exercise therapy against diabetes mellitus," in Intelligent Networks and Intelligent Systems, 2009. ICINIS'09. Second International Conference on. IEEE, 2009, pp. 693-696.
2. N. Raveendranathan, S. Galzarano, V. Loseu, R. Gravina, R. Giannantonio, M. Sgroi, R. Jafari, and G. Fortino, "From modeling to implementation of virtual sensors in body sensor networks," Sensors Journal, IEEE, vol. 12, no. 3, pp. 583-593, 2012.
3. M. Zhou and M. Wong, "Efficient online subsequence searching in data streams under dynamic time warping distance," in Data Engineering, 2008. ICDE 2008. IEEE 24th International Conference on. IEEE, 2008, pp. 686-695.
4. A. Smrdel and F. Jager, "Automated detection of transient stsegment episodes in 24h electrocardiograms," Medical and Biological Engineering and Computing, vol. 42, no. 3, pp. 303-311, 2004.
5. P. Turaga, R. Chellappa, V. Subrahmanian, and O. Udrea, "Machine recognition of human activities: A survey," Circuits and Systems for Video Technology, IEEE Transactions on, vol. 18, no. 11, pp. 1473-1488, 2008.
6. J. Lewis, "Fast normalized cross-correlation," in Vision interface, vol. 10, no. 1, 1995, pp. 120-123.
7. H. Sakoe and S. Chiba, "Dynamic programming algorithm optimization for spoken word recognition," Acoustics, Speech and Signal Processing, IEEE Transactions on, vol. 26, no. 1, pp. 43-49, 1978.
8. R. Muscillo, S. Conforto, M. Schmid, P. Caselli, and T. D'Alessio, "Classification of motor activities through derivative dynamic time warping applied on accelerometer data," in Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE. IEEE, 2007, pp. 4930-4933.
9. C. Myers, L. Rabiner, and A. Rosenberg, "Performance tradeoffs in dynamic time warping algorithms for isolated word recognition," Acoustics, Speech and Signal Processing, IEEE Transactions on, vol. 28, no. 6, pp. 623-635, 1980.
10. T. Rath and R. Manmatha, "Word image matching using dynamic time warping," in Computer Vision and Pattern Recognition, 2003. Proceedings. 2003 IEEE Computer Society Conference on, vol. 2. IEEE, 2003, pp. II-521.
11. P. Lukowicz, J. Ward, H. Junker, M. Stäger, G. Tröster, A. Atrash, and T. Starner, "Recognizing workshop activity using body worn microphones and accelerometers," Pervasive Computing, pp. 18-32, 2004.
12. K. Kunze and P. Lukowicz, "Dealing with sensor displacement in motion-based onbody activity recognition systems," in Proceedings of the 10th international conference on Ubiquitous computing. ACM, 2008, pp. 20-29.
13. A. Woolard, Vicon 512 User Manual, Vicon Motion Systems, Tustin CA, January 1999.
14. M. Spong, S. Hutchinson, and M. Vidyasagar, Robot modeling and control. New York: Wiley, 2006