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Wearable multimodal sensing using piezoelectric micromachined ultrasonic transducer and surface electromyography for hand gesture recognition

delete2026-08-08
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PRE
AI
W
Wenhe Yang
Z
Ziwen Tang
K
Ke Zhu
G
Guichuan Zhou
J
Jin Xie *
DOI：10.1016/j.measurement.2026.122781delete
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Abstract

Abstract

En 中文
• A wearable PMUT-sEMG framework was developed for hand gesture recognition. • A 25 x 29 PMUT probe captured deep-muscle morphological information. • A CNN fusion model achieved 93.88% accuracy for 12-class recognition. • Multimodal fusion outperformed PMUT-only and sEMG-only sensing. • The system used one PMUT probe and three sEMG electrodes for wearable HMI.
Keywords:
Wearable sensing
Multimodal measurement
Piezoelectric micromachined ultrasonic transducer
Surface electromyography
Human-machine interaction

Journal

Measurement cover
Measurement
IF:
5.6
Papers:
1.9W
Citations:
5.4W

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