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Fall detection using multimodal data. (arXiv:2205.05918v1 [cs.CV])
Web: http://arxiv.org/abs/2205.05918
May 13, 2022, 1:10 a.m. | Thao V. Ha, Hoang Nguyen, Son T. Huynh, Trung T. Nguyen, Binh T. Nguyen
cs.CV updates on arXiv.org arxiv.org
In recent years, the occurrence of falls has increased and has had
detrimental effects on older adults. Therefore, various machine learning
approaches and datasets have been introduced to construct an efficient fall
detection algorithm for the social community. This paper studies the fall
detection problem based on a large public dataset, namely the UP-Fall Detection
Dataset. This dataset was collected from a dozen of volunteers using different
sensors and two cameras. We propose several techniques to obtain valuable
features from …
More from arxiv.org / cs.CV updates on arXiv.org
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