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Sensors 2017, 17(12), 2864; https://doi.org/10.3390/s17122864

Home Camera-Based Fall Detection System for the Elderly

Centre for Automation and Robotics (CAR UPM-CSIC), Universidad Politécnica de Madrid, Madrid, Spain
These authors contributed equally to this work.
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Received: 13 October 2017 / Revised: 30 November 2017 / Accepted: 5 December 2017 / Published: 9 December 2017
(This article belongs to the Special Issue Context Aware Environments and Applications)
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Abstract

Falls are the leading cause of injury and death in elderly individuals. Unfortunately, fall detectors are typically based on wearable devices, and the elderly often forget to wear them. In addition, fall detectors based on artificial vision are not yet available on the market. In this paper, we present a new low-cost fall detector for smart homes based on artificial vision algorithms. Our detector combines several algorithms (background subtraction, Kalman filtering and optical flow) as input to a machine learning algorithm with high detection accuracy. Tests conducted on over 50 different fall videos have shown a detection ratio of greater than 96%. View Full-Text
Keywords: fall detection; camera-based; elderly; home automation fall detection; camera-based; elderly; home automation
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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de Miguel, K.; Brunete, A.; Hernando, M.; Gambao, E. Home Camera-Based Fall Detection System for the Elderly. Sensors 2017, 17, 2864.

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