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pp. 4357-4366
S&M4570 Research paper https://doi.org/10.18494/SAM6370 Published: August 4, 2026 A Textile-based Wearable Electromyography Sensing System with Bluetooth Low Energy Internet-of-Things Gateway for Baseball Pitching Analysis [PDF] Huang-Chia Shih, Yao-Chiang Kan, Chang-Hsian Ma, and Yu-Hsuan Lee (Received April 10, 2026; Accepted May 15, 2026) Keywords: Bluetooth, conductive fabric, data gateway, electromyography, low energy, wearable sleeve
With the rapid miniaturization of physiological sensing components and the widespread adoption of wearable devices, long-term physiological monitoring has become increasingly feasible in daily life and sports applications. In this study, we initially analyzed data from a conductive-fabric-based electromyography (EMG)-like sensing sleeve. The developed sleeve employs textile electrodes to emulate surface EMG sensing and integrates six sensing channels, with a small amount of water applied to enhance electrode conductivity. Compared with conventional adhesive EMG systems, the textile-based sleeve is easy to wear and effectively mitigates electrode displacement during high-speed baseball pitching motions. Experiments on three representative movements demonstrate that the proposed sleeve reliably captures muscle activity, instilling confidence in its practical use for sports training and biomechanics analysis.
Corresponding author: Huang-Chia Shih![]() ![]() This work is licensed under a Creative Commons Attribution 4.0 International License. Cite this article Huang-Chia Shih, Yao-Chiang Kan, Chang-Hsian Ma, and Yu-Hsuan Lee, A Textile-based Wearable Electromyography Sensing System with Bluetooth Low Energy Internet-of-Things Gateway for Baseball Pitching Analysis, Sens. Mater., Vol. 38, No. 8, 2026, p. 4357-4366. |