Multisensory Fusion, Haptic, and Visual Feedback Teleoperation System Under IoT Framework

Chu, Meng; Cui, Ziang; Zhang, Ailing; Yao, Jiale; Tang, Chenyu; Fu, Zhe; Nathan, Arokia; Gao, Shuo

doi:10.1109/jiot.2022.3167920

Cited by 6 publications

(1 citation statement)

References 57 publications

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“…Human motion analysis is a crucial topic of study, with applications ranging from sports biomechanics and physical rehabilitation to human-computer interaction [1]- [3]. In particular, electromyography (EMG), the technique for evaluating and recording electrical activity produced by skeletal muscles, has been widely used for its potential in providing intuitive and ahead-of-motion signals for motion analysis and control [4], [13].…”

Section: Introductionmentioning

confidence: 99%

EMG-Based Human Motion Analysis: A Novel Approach Using Towel Electrodes and Transfer Learning

Tang,

Yi,

Kumar

et al. 2024

IEEE Sensors J.

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This paper presents an innovative solution for electromyography (EMG)-based human motion analysis systems, addressing challenges of sensor comfort, inter-individual variations, and labor-intensive labeling processes. The solution combines textile towel-based electrodes with transfer learning techniques. The textile towel-based graphene/PEDOT:PSS composite electrode offers biocompatibility, low skin impedance, and user comfort, while transfer learning reduces the need for extensive new data labeling and enhances the generalisation ability of the motion analysis system. The proposed methodology achieves accurate classification of hand gestures with a minimal number of samples and epochs. This demonstrates the potential of transfer learning for efficient EMGbased human motion analysis.

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