Novel Muscle Sensing by Radiomyography (RMG) and Its Application to Hand Gesture Recognition

• Published in: IEEE sensors journal Vol. 23; no. 17; p. 1
• Main Authors: Zhang, Zijing, Kan, Edwin C.
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.09.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Accelerometers; Accuracy; Actuation; Antennas; Biomedical monitoring; Computed tomography; Deep learning; Electromyography; Eye movements; Gesture recognition; hand gesture recognition; Machine learning; Monitoring; Muscle tracking; Muscles; Muscular function; non-invasive muscle monitoring; Rehabilitation; Sensors; Surface motion; Thumb; Waveforms; wearable sensors; Wearable technology; non-invasive muscle monitoring; wearable sensors; Muscle tracking; hand gesture recognition

Conventional electromyography (EMG) measures the continuous neural activity during muscle contraction, but lacks explicit quantification of the actual contraction. Mechanomyography (MMG) and accelerometers only measure body surface motion, while ultrasound, CT-scan and MRI are restricted to in-clini...