Improving supervised classification of activities of daily living using prior knowledge

International Journal of E-Health and Medical Communications

Volumn 2, Issue 1, 2011, Pages 17-34

  Fleury, Anthony ^a   Noury, Norbert ^b   Vacher, Michel ^c  

^a UNIV LILLE   (France)

^b UNIVERSITÉ DE LYON   (France)

^c LIG Laboratory   (France)

Author keywords

Daily Living; Independent Living; Life Expectancy; Support Vector Machine; Telemedicine

Indexed keywords

EID: 84872966237     PISSN: 1947315X     EISSN: 19473168     Source Type: Journal    
DOI: 10.4018/jehmc.2011010102     Document Type: Article

References (28)

1. Berenguer, M., Giordani, M., Giraud-By, F., & Noury, N. (2008). Automatic detection of activities of daily living from detecting and classifying electrical events on the residential power line. In Proceedings of the 10th International Conference on E-Health Networking, Application & Services (HealthCom 2008), Biopolis, Singapore (pp. 29-32).
2. Boser, B. E., Guyon, I. M., & Vapnik, V. N. (1992). A training algorithm for optimal margin classifiers. In Proceedings of the 5th Annual Workshop on Computational Learning Theory, Pittsburgh, PA (pp. 144-152).
3. Bourke, A. K., & Lyons, G. M. (2007). A threshold-based fall-detection algorithm using a bi-axial gyroscope sensor. Medical Engineering & Physics, 30, 84-90. doi:10.1016/j.medengphy.2006.12.001
4. Bourke, A. K., O'Brien, J. V., & Lyons, G. M. (2007). Evaluation of a threshold-based tri-axial accelerometer fall detection algorithm. Gait & Posture, 26(2), 194-199. doi:10.1016/j.gaitpost.2006.09.012
5. Burges, C. J. C. (1998). A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 2(2), 121-167. doi:10.1023/A:1009715923555
6. Campo, E., Bonhomme, S., Chan, M., & Estève, D. (2010). Remote Tracking patients in retirement home using wireless multisensory system. In Proceedings of the 12th International Conference on E-Health Networking, Application & Services (HealthCom 2010), Lyon, France (pp. 226-230).
7. Chan, M., Estève, D., Escriba, C., & Campo, E. (2008). A review of smart homes - Present state and future challenges. Computer Methods and Programs in Biomedicine, 91(1), 55-81. doi:10.1016/j. cmpb.2008.02.001
8. Fleury, A., Noury, N., & Vacher, M. (2009). A wavelet-based pattern recognition algorithm to classify postural transition in humans. In Proceedings of the 17th European Signal Processing Conference (EUSIPCO 2009), Glasgow, Scotland (pp. 2047-2051).
9. Fleury, A., Noury, N., & Vacher, M. (2010). SVM-Based Multi-Modal Classification of Activities of Daily Living in Health Smart Homes: Sensors, Algorithms and First Experimental Results. IEEE Transactions on Information Technology in Biomedicine, 14(2), 274-283. doi:10.1109/TITB.2009.2037317
10. Guermeur, Y. (2002). Combining discriminant models with new multi-class SVMs. Pattern Analysis & Applications, 5(2), 168-179. doi:10.1007/ s100440200015
11. Hong, X., Nugent, C., Mulvenna, M., McClean, S., & Scotney, B. (2008). Evidential fusion of sensor data for activity recognition in smart homes. Pervasive and Mobile Computing, 5(3), 236-252. doi:10.1016/j. pmcj.2008.05.002
12. Istrate, D., Castelli, E., Vacher, M., Besacier, L., & Serignat, J.-F. (2006). Information Extraction From Sound for Medical Telemonitoring. IEEE Transactions on Information Technology in Biomedicine, 10(2), 264-274. doi:10.1109/TITB.2005.859889
13. Katz, S., & Akpom, C. (1976). A measure of primary sociobiological functions. International Journal of Health Services, 6(3), 493-508. doi:10.2190/UURL- 2RYU-WRYD-EY3K
14. Kim, M., Jang, J., Song, S.-K., Jung, H.-Y., Park, S.-H., & Park, S.-J. (2009). ADL Monitoring System Using FSR Arrays and Optional 3-Axis Accelerometer. In M. Mokhtari et al. (Eds.), ICOST 2009 (LNCS 5597, pp. 217-224). Berlin: Springer.
15. Knerr, S., Personnaz, L., & Dreyfus, G. (1990). Single-layer learning revisited: a stepwise procedure for building and training a neural network. In F. Fogelman Soulié & J. Hérault (Eds.), Neurocomputing: Algorithms, Architectures and Applications, volume F68 of NATO ASI Series (pp. 41-50). Berlin: Springer Verlag.
16. Kröse, B., van Kasteren, T., Gibson, C., & van den Dool, T. (2008). Care: Context awareness in residences for elderly. In Proceedings of the International Conference of the International Society for Gerontechnology (ISG 2008), Pisa, Italy (p. 57).
17. Le Bellego, G., Noury, N., Virone, G., Mousseau, M., & Demongeot, J. (2006). A model for the measurement of patient activity in a hospital suite. IEEE Transactions on Information Technology in Biomedicine, 10(1), 92-99. doi:10.1109/TITB.2005.856855
18. Libal, V., Ramabhadran, B., Mana, N., Pianesi, F., Chippendale, P., Lanz, O., & Potamianos, G. (2009). Multimodal Classification of Activities of Daily Living Inside Smart Homes. In S. Omatu et al. (Eds.), IWANN 2009, Part II (LNCS 5518, pp. 687-694). Berlin: Springer.
19. Noury, N., Fleury, A., Rumeau, P., Bourke, A., Laighin, G. O., Rialle, V., & Lundy, J.-E. (2007). Fall detection - principles and methods. In Proceedings of the 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS 2007), Lyon, France (pp. 1663-1666).
20. Noury, N., Villemazet, C., Fleury, A., Barralon, P., Rumeau, P., Vuillerme, N., & Baghai, R. (2006). Ambient multi-perceptive system with electronic mails for a residential health monitoring system. In Proceedings of the 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS 2006), New York (pp. 3612-3615).
21. Noury, N., Virone, G., Barralon, P., Ye, J., Rialle, V., & Demongeot, J. (2003). New Trends in Health Smart Homes. In Proceedings of the Healthcom2003, Santa-Monica, CA (pp. 118-127).
22. Nugent, C., Hong, X., Hallberg, J., Finlay, D., & Synnes, K. (2008). Assessing the impact of individual sensor reliability within smart living environments. In Proceedings of the 4th IEEE International Conference on Automation Science and Engineering (CASE 2008), Arlington, VA (pp. 685-690).
23. Philipose, M., Fishkin, K. P., Perkowitz, M., Patterson, D. J., Fox, D., Kautz, H., & Hähnel, D. (2004). Inferring activities from interactions with objects. IEEE Pervasing Computing, 3(4), 50-57. doi:10.1109/MPRV.2004.7
24. Tapia, E., Intille, S., & Larson, K. (2004). Activity recognition in the home using simple and ubiquitous sensors. In Proceedings of the international conference on pervasive computing (LNCS 3001, pp. 158-175). Berlin: Springer.
25. Tsukamoto, S., Hoshino, H., & Tamura, T. (2008). Study on indoor activity monitoring by using electric field sensor. In Proceedings of the International Conference of the International Society for Gerontechnology (ISG 2008), Pisa, Italy (p. 86).
26. Vacher, M., Fleury, A., Portet, F., Serignat, J.-F., & Noury, N. (2010). Complete Sound and Speech Recognition System for Health Smart Homes: Application to the Recognition of Activities of Daily Living. In Campolo, D. (Ed.), New Developments in Biomedical Engineering (pp. 645-673). Austria: Intech.
27. Vacher, M., Serignat, J.-F., Chaillol, S., Istrate, D., & Popescu, V. (2006). Speech and Sound Use in a Remote Monitoring System for Health Care. In Text, Speech and Dialogue (LNCS 4188, pp. 711-718). Berlin: Springer.
28. Virone, G., Noury, N., & Demongeot, J. (2002). A system for automatic measurement of circadian activity deviations in telemedicine. IEEE Transactions on Bio-Medical Engineering, 49(12), 1463-1469. doi:10.1109/TBME.2002.805452