A spatio-temporal architecture for context aware sensing

Proceedings - BSN 2006: International Workshop on Wearable and Implantable Body Sensor Networks

Volumn 2006, Issue , 2006, Pages 191-194

  Thiemjarus, Surapa ^a   Lo, Benny ^a   Yang, Guang Zhong ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

Body sensor networks; Context aware sensing; Self organising maps; SOM; STSOM

Indexed keywords

COMPUTER ARCHITECTURE; OPTIMIZATION; SELF ORGANIZING MAPS; SIGNAL PROCESSING;

BODY SENSOR NETWORKS (BSN); CONTEXT AWARE SENSING; SPATIO TEMPORAL ARCHITECTURE;

SENSORS;

EID: 33750806735     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BSN.2006.5     Document Type: Conference Paper

References (10)

1. Van Someren EJ, Vonk BF, Thijssen WA, Speelman JD, Schuurman PR, Mirmiran M, et al. A new actigraph for long-term registration of the duration and intensity of tremor and movement. IEEE Transactions on Biomedical Engineering 1998;45(3):386-395.
2. Bhattacharya A, McCutcheon EP, Shvartz E, Greenleaf JE. Body acceleration distribution and 02 uptake in humans during running and jumping. Journal of Applied Physiology 1980; 49(5):881-887.
3. Inzitari D, Basile AM. Activities of daily living and global functioning. International Psychogeriatrics 2003; 15(Supplement 1):225-229.
4. Senanarong V, Harnphadungkit K, Prayoonwiwat N, Poungvarin N, Sivasariyanonds N, Printarakul T, et al. A new measurement of activities of daily living for Thai elderly with dementia. International Psychogeriatrics 2003; 15(2): 135-148.
5. Bao L, Intille SS. Activity recognition from user-annotated acceleration data. In: Proceedings of the Second International Conference on Pervasive Computing, Vienna, Austria, 2004; 1-17.
6. Lee S-W, Mase K. Activity and location recognition using wearable sensors. IEEE Pervasive Computing 2002; 1(3):24-32.
7. Picard RW, Vyzas E, Healey J. Toward machine emotional intelligence: analysis of affective physiological state. IEEE Transactions on Pattern Analysis and Machine Intelligence 2001; 23(10):1175-1191.
8. Krause A, Siewiorek DP, Smailagic A, Farringdon J. Unsupervised, dynamic identification of physiological and activity context in wearable computing. In: Proceedings of the Seventh IEEE International Symposium on Wearable Computers 2003; 88-97.
9. Barreto G, Araujo A, Ritter H. Time in self-organizing maps: an overview of models. International Journal of Computer Research, Special Issue on Neural Networks: Past, Present and Future 2001; 10(2): 139-179.
10. Yin H, Allinson NM. Towards the optimal Bayes classifier using an extended Self-Organising Map. In: Proceedings of the International Conference on Artificial Neural Networks 1995; 2:45-49.