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Enhanced Classification of Human Fall and Sit Motions Using Ultra-Wideband Radar and Hidden Markov Models

In this study, we address the challenge of accurately classifying human movements in complex environments using sensor data. We analyze both video and radar data to tackle this problem. From video sequences, we extract temporal characteristics using techniques such as motion history images (MHI) and...

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主要な著者: Thottempudi Pardhu, Vijay Kumar, Andreas Kanavos, Vassilis C. Gerogiannis, Biswaranjan Acharya
フォーマット: Artigo
言語:Inglês
出版事項: MDPI AG 2024-07-01
シリーズ:Mathematics
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オンライン・アクセス:https://www.mdpi.com/2227-7390/12/15/2314
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