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)
Event location: Cocoa Beach, FL, USA
ISBN: 9798331509606
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.
Authors with CRIS profile
Lena Marie Gmelch
Lehrstuhl für Klinische Psychologie und Psychotherapie (KliPs)
Matthias Berking
Lehrstuhl für Klinische Psychologie und Psychotherapie (KliPs)
Additional Organisation(s)
Involved external institutions
Germany (DE)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). Cocoa Beach, FL, USA: 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), Cocoa Beach, FL, USA New York City: IEEE, 2025. 1-4.
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