Infrastructure-assisted smartphone-based ADL recognition in multi-inhabitant smart environments

2013 IEEE International Conference on Pervasive Computing and Communications, PerCom 2013

Volumn , Issue , 2013, Pages 38-46

  Roy, Nirmalya ^a   Misra, Archan ^b   Cook, Diane ^a  

^a WASHINGTON STATE UNIVERSITY   (United States)

^b SINGAPORE MANAGEMENT UNIVERSITY   (Singapore)

Author keywords

context recognition; multi modal sensing

Indexed keywords

BODY-WORN SENSORS; COMPLEX ACTIVITY; COMPUTATIONAL OVERHEADS; CONTEXT RECOGNITION; HYBRID APPROACH; MULTI-MODAL SENSING; SMART ENVIRONMENT; SPATIO-TEMPORAL CONSTRAINTS;

AUTOMATION; CLASSIFICATION (OF INFORMATION); INTELLIGENT BUILDINGS; SMARTPHONES; UBIQUITOUS COMPUTING;

SENSORS;

EID: 84880092380     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PerCom.2013.6526712     Document Type: Conference Paper

References (22)

1. AR Activity Recognition Code http://ailab.wsu.edu/casas/ar/
2. JH Bergmann and AH McGregor. "Body-worn sensor design: What do patients and clinicians want?", Annals of Biomedical Engineering, 39(9):2299-2312, 2011.
3. M. Brand., "Coupled hidden markov models for modeling interacting processes", Technical Report 405, MIT Lab for Perceptual Computing, 1996
4. B. Clarkson, K. Mase, and A. Pentland, "Recognizing user context via wearable sensors", Proceedings of the 4th International Symposium onWearable Computers (ISWC 2000), 2000, pp. 69-76.
5. S. Dernbach, B. Das, N. C. Krishnan, B. L. Thomas, and D. J. Cook, "Simple and Complex Acitivity Recognition Through Smart Phones", Proceedings of the International Conference on Intelligent Environments, 2012.
6. Gong, S., Xiang, T., "Recognition of group activities using dynamic probabilistic networks", In Proceedings of International Conference on Computer Vision (ICCV 2003)
7. N. Gyorbiro, A. Fabian, and G. Homanyi, "An activity recognition system for mobile phones", Mobile Networks and Applications, vol. 14, pp. 82-91, 2008.
8. Huynh, T., Blanke, U., Schiele, B., "Scalable recognition of daily activities from wearable sensors", LoCA 2007. LNCS, vol. 4718, pp. 50-67
9. S. S. Intille, et al, "Using a live-in laboratory for ubiquitous computing research", PERVASIVE 2006, LNCS
10. van Kasteren, T., Noulas, A., Englebienne, G., Krose, B., "Accurate activity recognition in a home setting", In Proceedings of the 10th International Conference on Ubiquitous Computing, UbiComp 2008, pp.1-9
11. J. Kwapisz, G. Weiss, and S. Moore, "Activity recognition using cell phone accelerometers", International Workshop on Knowledge Discovery from Sensor Data, 2010, pp. 10-18.
12. Lester, J., Choudhury, T., Borriello, G., "A practical approach to recognizing physical activities", PERVASIVE 2006. LNCS, vol. 3968, pp. 1-16.
13. Logan, B., Healey, J., Philipose, M., Munguia-Tapia, E., Intille, S., "A long-term evaluation of sensing modalities for activity recognition" UbiComp 2007. LNCS, vol. 4717, pp. 483-500.
14. Oliver, N., Rosario, B., Pentland, A., "A Bayesian computer vision system for modeling human interactions", IEEE Transactions on Pattern Analysis and Machine Intelligence 22(8), pp. 831-843 (2000)
15. M. Philipose, K. P. Fishkin, M. Perkowitz, D. J. Patterson, D. Hahnel, D. Fox, and H. Kautz, "Inferring activities from interactions with objects," IEEE Pervasive Computing, vol. 3, no. 4, pp. 50-57, 2004.
16. T. Plotz and G. A. Flink, "Accelerating the evaluation of profile HMMs by pruning techniques", In Tech rep. University of Bielefeld, Faculty of Technology; 2004. [Report 2004-03]
17. L.R. Rabiner, "A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition," Proc. IEEE, vol. 77, no. 2, pp. 257-285. 1989.
18. L. Wang, T. Gu, X. Tao, H. Chen, Jian Lu, "Recognizing multi-user activities using wearable sensors in a smart home", Pervasive and Mobile Computing, 7(3): pp. 287-298 (2011)
19. Wilson, D., Atkeson, C., "Simultaneous tracking and activity recognition (STAR) using many anonymous, binary sensors", Pervasive Computing, pp. 62-79 (2005)
20. I. Witten, and E. Frank, "Data Mining: Practicial Machine Learning Tools and Techniques with Java Implementations," Morgan Kaufmann, 1999.
21. Z. Yan, D. Chakraborty, A. Misra, H. Jeung, K. Aberer, "SAMMPLE: Detecting Semantic Indoor Activities in Practical Settings using Locomotive Signatures", International Symposium on Wearable Computers (ISWC), 2012
22. L. Chen, J. Hoey, C.D. Nugent, D.J. Cook and Z. Yu, "Sensor-Based Activity Recognition", IEEE Transactions on Systems, Man, and Cybernetics-Part C, vol.42, no.6, pp.790-808, 2012.