Low-Power Wireless Multi-Channel Surface Electromyography Sensor for Facial Muscle Sensing

Balbach S, Dorn C, Schindler-Gmelch L, Berking M, Hagelauer A (2025)


Publication Type: Conference contribution

Publication year: 2025

Publisher: IEEE

City/Town: New York City

Pages Range: 1-4

Conference Proceedings Title: 2025 IEEE Wireless and Microwave Technology Conference (WAMICON)

DOI: 10.1109/WAMICON64429.2025.11004086

Abstract

Today's electromyography (EMG) sensor systems usually require complicated setups for data acquisition and processing. Especially for facial muscle sensing, small and portable systems are required to allow longer and more realistic measurements. Research in the area of affective states and distinct emotions requires larger studies with extended recording times. Therefore, the acceptance of the sensor by the subjects is crucial. In collaboration with a team of clinical psychologists, this work presents a Bluetooth Low Energy 5.4 enabled wireless surface EMG sensor with edge pre-processing and post-processing on a PC for data evaluation.

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How to cite

APA:

Balbach, S., Dorn, C., Schindler-Gmelch, L., Berking, M., & Hagelauer, A. (2025). Low-Power Wireless Multi-Channel Surface Electromyography Sensor for Facial Muscle Sensing. In 2025 IEEE Wireless and Microwave Technology Conference (WAMICON) (pp. 1-4). New York City: IEEE.

MLA:

Balbach, Samira, et al. "Low-Power Wireless Multi-Channel Surface Electromyography Sensor for Facial Muscle Sensing." Proceedings of the 2025 IEEE Wireless and Microwave Technology Conference (WAMICON) New York City: IEEE, 2025. 1-4.

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