A Multimodal Fatigue Detection System Using sEMG and IMU Signals with a Hybrid CNN-LSTM-Attention Model

Physical fatigue significantly impacts safety and performance across industrial, athletic, and medical domains, yet its detection remains challenging due to individual variability and limited generalizability of existing methods. This study introduces a multimodal fatigue detection system integratin...

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Bibliographic Details
Published in:	Sensors
Main Authors:	Soree Hwang, Nayeon Kwon, Dongwon Lee, Jongman Kim, Sumin Yang, Inchan Youn, Hyuk-June Moon, Joon-Kyung Sung, Sungmin Han
Format:	Article
Language:	English
Published:	MDPI AG 2025-05-01
Subjects:	physical fatigue detection surface electromyography (sEMG) inertial measurement unit (IMU) hybrid deep learning CNN-LSTM-attention gait kinematics
Online Access:	https://www.mdpi.com/1424-8220/25/11/3309

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