RadioSense: Exploiting wireless communication patterns for body sensor network activity recognition

Proceedings - Real-Time Systems Symposium

Volumn , Issue , 2012, Pages 95-104

  Qi, Xin ^a   Zhou, Gang ^a   Li, Yantao ^a   Peng, Ge ^a  

^a The College of William and Mary   (United States)

Author keywords

Activity Recognition; Body Sensor Network; Communication Patterns; On body Sensor Nodes

Indexed keywords

ACTIVITY RECOGNITION; BATTERY LIFETIME; BODY SENSOR NETWORKS (BSN); COMMUNICATION PATTERN; COMMUNICATION RANGE; DATA AVAILABILITY; ENERGY OVERHEADS; HIGH TRANSMISSION; HUMAN ACTIVITIES; HUMAN-CENTRIC; MAC LAYER; ON-BODY; PACKET RETRANSMISSIONS; PARAMETER SELECTION; PRIVACY RISKS; PROTOTYPE SYSTEM; RECOGNITION ACCURACY; RELIABLE PERFORMANCE; SENDING RATE; SENSOR READINGS; SMOOTHING WINDOWS; THREE SYSTEMS; TRAINING DATA; TRANSMISSION POWER; WIRELESS COMMUNICATIONS;

ALGORITHMS; BODY SENSOR NETWORKS; COMMUNICATION; PATTERN RECOGNITION; REAL TIME SYSTEMS; SENSOR NODES; WIRELESS TELECOMMUNICATION SYSTEMS;

RADIO TRANSMISSION;

EID: 84874316495     PISSN: 10528725     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/RTSS.2012.62     Document Type: Conference Paper

References (28)

1. O. Chipara, C. Lu, and et al., "Reliable clinical monitoring using wireless sensor networks: experiences in a step-down hospital unit," in Proc. of Sensys '10.
2. T. Bernd, B. Andreas, and et al., "Recognition of hearing needs from body and eye movements to improve hearing instruments," in Proc. of Pervasive '11.
3. F. Albinali, S. Intille, and et al., "Using wearable activity type detection to improve physical activity energy expenditure estimation," in Proc. of Ubicomp '10.
4. J. Doppler, G. Holl, and et al., "Variability in foot-worn sensor placement for activity recognition," in Proc. of ISWC '09.
5. M. Keally, G. Zhou, and et al., "Pbn: Towards practical activity recognition using smartphone-based body sensor networks," in Proc. of Sensys '11.
6. M. Quwaider and S. Biswas, "Body posture identification using hidden markov model with a wearable sensor network," in Proc. of BodyNets '08.
7. L. Wang, T. Gu, and et al., "Real-time activity recognition in wireless body sensor networks: From simple gestures to complex activities," in Proc. of RTCSA '10.
8. P. Zappi, C. Lombriser, and et al., "Activity recognition from on-body sensors: accuracy-power trade-off by dynamic sensor selection," in Proc. of EWSN'08.
9. A. Natarajan, B. de Silva, and et al., "Link layer behavior of body area networks at 2.4 ghz," in Proc. of MobiCom '09.
10. H. Sagha, J. del R. Millan, and R. Chavarriaga, "A Probabilistic Approach to Handle Missing Data for Multi-Sensory Activity Recognition," in Workshop on Context Awareness and Information Processing in Opportunistic Ubiquitous Systems Ubicomp, 2010.
11. C. Karlof, N. Sastry, and D. Wagner, "Tinysec: a link layer security architecture for wireless sensor networks," in Proc. of SenSys '04.
12. O. Amft, H. Junker, and G. Troster, "Detection of eating and drinking arm gestures using inertial body-worn sensors," in Proc. of ISWC '05.
13. D. Gordon, H. R. Schmidtke, and et al., "A novel microvibration sensor for activity recognition: Potential and limitations," in Proc. of ISWC '10.
14. T. Stiefmeier, G. Ogris, and et al., "Combining motion sensors and ultrasonic hands tracking for continuous activity recognition in a maintenance scenario," in Proc. of ISWC '06.
15. A. Krause, M. Ihmig, and et al., "Trading off prediction accuracy and power consumption for context-aware wearable computing," in Proc. of ISWC '05.
16. G. Andrea, Wireless Communications. Cambridge University Press, 2005.
17. "CC2420 Data Sheet," http://inst.eecs.berkeley.edu/cs150/ Documents/CC2420.pdf.
18. E. Miluzzo, N. D. Lane, and et al., "Sensing meets mobile social networks: the design, implementation and evaluation of the cenceme application," in Proc. of SenSys '08.
19. M. Quwaider and S. Biswas, "Sensewaves: Radiowaves for context recognition," in Pervasive '11.
20. J. Wilson and N. Patwari, "See-through walls: Motion tracking using variance-based radio tomography networks," IEEE TMC 2011.
21. M. Youssef and A. Agrawala, "The horus location determination system," Wirel. Netw.
22. I. Guyon and A. Elisseeff, "An introduction to variable and feature selection," J. Mach. Learn. Res., 2003.
23. A. H. Shoeb and J. V. Guttag, "Application of machine learning to epileptic seizure detection," in ICML'10.
24. C. M. Bishop, Pattern Recognition and Machine Learning (Information Science and Statistics). Secaucus, NJ, USA: Springer-Verlag, 2006.
25. H. Lu, A. J. B. Brush, B. Priyantha, A. K. Karlson, and J. Liu, "Speakersense: Energy efficient unobtrusive speaker identification on mobile phones," in Proc. of Pervasive '11.
26. J. Lester, T. Choudhury, and et al., "A hybrid discriminative/ generative approach for modeling human activities," in Proc. of IJCAI'05.
27. C.-C. Chang and C.-J. Lin, "LIBSVM: A library for support vector machines," ACM Transactions on Intelligent Systems and Technology, 2011.
28. K. Srinivasan, M. A. Kazandjieva, S. Agarwal, and P. Levis, "The factor: measuring wireless link burstiness," in Proc. of SenSys '08.