基于倾斜梯度的腕戴设备跌倒检测算法

2015 IEEE International Conference on Consumer Electronics - Taiwan Pub Date : 2015-06-06 DOI:10.1109/ICCE-TW.2015.7216825

ShengQian Zhou, Jianxin Chen, Xinzhi Wang, Liang Zhou, B. Zheng, Jingwu Cui

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引用次数: 2

摘要

跌倒检测是解决人口老龄化问题的可行方案之一。本文提出了一种单腕装置检测老年人跌倒的算法。该算法根据倾角梯度确定坠落事件的计算复杂度较低。实验结果表明，该仪器的平均灵敏度为94.44%，特异度为100%，优于同类仪器。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Inclination gradient-based fall detection algorithm for wrist-worn device

Fall detection is one of the feasible solutions for solving the problem of aging of population. This paper presents an algorithm to detect falling for the elderly with one wrist-worn device. The algorithm has lower computation complexity to determine the fall event according to the inclination gradient. Experimental results show that it performs better than another similar devices with the average sensitivity and specificity of 94.44% and 100%, respectively.

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来源期刊

2015 IEEE International Conference on Consumer Electronics - Taiwan

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