Abstract
Falls in hospitals, in residential care facilities and in home of elderly commonly occur near the bed. Recognizing bedside events may give caretakers the opportunity to intervene, thereby preventing a fall from happening. Most approaches today either use cameras which invade privacy, or sensor devices attached to bed. In this paper an experimental approach for recognizing bedside events using a ceiling mounted 60 × 80 longwave infrared array combined with an ultrasonic sensor device is presented. This novel approach makes it possible to monitor activity while preserving privacy in a non-intrusive manner.
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Danielsen, A. (2016). Non-intrusive Bedside Event Recognition Using Infrared Array and Ultrasonic Sensor. In: García, C., Caballero-Gil, P., Burmester, M., Quesada-Arencibia, A. (eds) Ubiquitous Computing and Ambient Intelligence. UCAmI 2016. Lecture Notes in Computer Science(), vol 10069. Springer, Cham. https://doi.org/10.1007/978-3-319-48746-5_2
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DOI: https://doi.org/10.1007/978-3-319-48746-5_2
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