Advancing biomedical engineering through a multi-modal sensor fusion system for enhanced physical training

Advancing biomedical engineering through a multi-modal sensor fusion system for enhanced physical training

In this paper, we introduce a multi-modal sensor fusion system designed for biomedical engineering, specifically geared toward optimizing physical training by collecting detailed body movement data. This system employs inertial measurement units, flex sensors, electromyography sensors, and Microsoft...

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Bibliographic Details
Main Authors: Yi Deng, Zhiguo Wang, Xiaohui Li, Yu Lei, Owen Omalley
Format: Article
Language:English
Published: AIMS Press 2023-10-01
Series:AIMS Bioengineering
Subjects:
biomedical engineering
physical training
sensor fusion
virtual reality
multi-modal system
motion estimation
body movement data
gated recurrent unit
recurrent neural network
Online Access:https://www.aimspress.com/article/doi/10.3934/bioeng.2023022?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/bioeng.2023022?viewType=HTML

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