Source: Nano Energy, 2017, Vol. 41 p. 139-147
Follow this link for the abstract
Date of publication: November 2017
Publication type: Journal article
In a nutshell: Fall detection is becoming more important as the number of older people in society increases. People may fall at home where there is little timely help available, and falls themselves can cause injuries. Most fall detection technologies are inconvenient to wear, and visual or movement-based ones can be expensive and difficult to install. This study proposes a falls-detection system based on a pressure-sensing triboelectric nanogenerator array, which is cost-effective and ambient-based. It achieves a classification accuracy of 95.75% in identifying actual falls, and can be immediately installed due to low costs.
Length of publication: 8 pages
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