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A multi-sensor approach for People Fall Detection in home environment
Abstract : This paper presents a hardware and software framework for reliable fall detection in the home environment, with particular focus on the protection and assistance to the elderly. The integrated prototype includes three di®erent sensors: a 3D Time-Of-Flight range camera, a wearable MEMS accelerometer and a microphone. These devices are connected with custom interface circuits to a central PC that collects and processes the information with a multi-threading approach. For each of the three sensors, an optimized algorithm for fall-detection has been developed and benchmarked on a collected mulitimodal database. This work is expected to lead to a multi-sensory approach employing appropriate fusion techniques aiming to improve system precision and recall.
Cited literature [8 references]
https://hal.inria.fr/inria-00326739
Contributor : Peter Sturm <>
Submitted on : Monday, October 6, 2008 - 9:36:20 AM
Last modification on : Tuesday, October 30, 2018 - 7:18:03 PM
Long-term archiving on: : Monday, October 8, 2012 - 1:57:32 PM
Contributor : Peter Sturm <>
Submitted on : Monday, October 6, 2008 - 9:36:20 AM
Last modification on : Tuesday, October 30, 2018 - 7:18:03 PM
Long-term archiving on: : Monday, October 8, 2012 - 1:57:32 PM
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1569141334.pdf
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