A fall detection method based on a joint motion map using double convolutional neural networks

Volume: 81, Issue: 4, Pages: 4551 - 4568
Published: Jun 22, 2020
Abstract
Automatic fall detection approaches are essential for elderly people, particularly for those who live alone, because of the pressing need for immediate medical assistance. In this paper, we proposed a highly effective fall detection method based on a joint motion map using two parallel convolutional neural networks. Compared with the most commonly used joint trajectory method (JTM), our proposed method provided three major improvements. First,...
Paper Details
Title
A fall detection method based on a joint motion map using double convolutional neural networks
Published Date
Jun 22, 2020
Volume
81
Issue
4
Pages
4551 - 4568
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