Abstract
Smart Homes offer improved living conditions and levels of independence for the elderly population who require support with both physical and cognitive functions. Within these environments sensing technologies provide a key facility to monitor the behaviour of the person and their interactions with the living environment. In this paper we investigate the effects of sensor failures on the ’trust’ of activity inference processing. We introduce a sensor evidence reasoning network which has been developed for ADL recognition along with the ability of handling uncertainty that may occur at a sensor level. Details of the initial experiments which have been conducted in the assessment of ADLs in a smart laboratory environment using this model are presented. Finally, we present the findings from the analysis on experimental and simulation data taking into consideration the impact of sensor failure on the overall stage of inference processing.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Loke, S.: Context-Aware Pervasive Systems. Auerbach Publications (2007)
Pollack, M.: Intelligent technology for an aging population: the use of AI to assist elders with cognitive impairment, AI Magazine, pp. 1–27 (2005)
Ranganathan, A., Al-Muhtadi, J., Campbell, R.H.: Reasoning about uncertain contexts in pervasive computing environments. IEEE Pervasive Computing, 62–70 (2004)
Hong, X., Nugent, C.D., Mulvenna, M.D., McClean, S.I., Scotney, B.W., Devlin, S.: Evidential fusion of sensor data for activity recognition in smart homes. Pervasive and Mobile Computing (to appear, 2008)
Wilson, D., Atkeson, C.: Simultaneous tracking and activity recognition (start) using many anonymous, binary sensors. In: Proceedings of the 3rd International Conference on Pervasive Computing (2005)
Philipose, M., Fishkin, K.P., Patterson, M.P., Fox, D., Kautz, H., Hahnel, D.: Inferring activities from interactions with objects. IEEE Pervasive Computing 3(4), 50–57 (2004)
Tapia, E.M., Intille, S.S., Larson, K.: Activity recognition in the home using simple and ubiquitours sensors. In: Ferscha, A., Mattern, F. (eds.) PERVASIVE 2004. LNCS, vol. 3001, pp. 1–17. Springer, Heidelberg (2004)
Tran, D.T., Phung, D.Q., Bui, H.H., Venkatesh, S.: A probabilistic model with parsimonious representation for sensor fusion in recognizing activity in pervasive environment. In: Proceedings of the 18th International Conference on Pattern Recognition (2004)
Shafer, G.: A Mathematical Theory of Evidence. Princeton University Press, Princeton (1976)
McClean, S.I., Scotney, B.W.: Using evidence theory for the integration of distributed databases. International Journal of Intelligent Systems 12, 763–776 (1997)
Yager, R.R., Engemann, K.J., Filev, D.P.: On the concept of immediate probabilities. International Journal of Intelligent Systems 10, 373–397 (1995)
Nugent, C.D., Finlay, D.D., Davies, R.J., Wang, H.Y., Zheng, H., Hallberg, J., Synnes, K., Mulvenna, M.D.: homeML – an open standard for the exchange of data within smart environments. In: Proceedings of the 5th International Conference On Smart homes and health Telematics, pp. 121–129 (2007)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Hong, X., Nugent, C., Mulvenna, M., McClean, S., Scotney, B., Devlin, S. (2008). Assessment of the Impact of Sensor Failure in the Recognition of Activities of Daily Living. In: Helal, S., Mitra, S., Wong, J., Chang, C.K., Mokhtari, M. (eds) Smart Homes and Health Telematics. ICOST 2008. Lecture Notes in Computer Science, vol 5120. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69916-3_16
Download citation
DOI: https://doi.org/10.1007/978-3-540-69916-3_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69914-9
Online ISBN: 978-3-540-69916-3
eBook Packages: Computer ScienceComputer Science (R0)