Abstract
We consider the problem of assisting vulnerable people and their carers to reduce the occurrence, and concomitant consequences, of accidents in the home. A wireless sensor network employing multiple sensing and event detection modalities and distributed processing is proposed for smart home monitoring applications. Distributed vision-based analysis is used to detect occupant’s posture, and features from multiple cameras are merged through a collaborative reasoning function to determine significant events. The ambient assistance provided will assume minimal expectations on the technology people have to directly interact with. Vision-based technology is coupled with AI-based algorithms in such a way that occupants do not have to wear sensors, other than an unobtrusive identification badge, or learn and remember to use a specific device. In addition the system can assess situations, anticipate problems, produce alerts, advise carers and provide explanations.
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Aghajan, H., Augusto, J.C., Wu, C., McCullagh, P., Walkden, JA. (2007). Distributed Vision-Based Accident Management for Assisted Living. In: Okadome, T., Yamazaki, T., Makhtari, M. (eds) Pervasive Computing for Quality of Life Enhancement. ICOST 2007. Lecture Notes in Computer Science, vol 4541. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73035-4_21
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DOI: https://doi.org/10.1007/978-3-540-73035-4_21
Publisher Name: Springer, Berlin, Heidelberg
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