Wearable Real-Time Gesture Recognition Scheme Based on A-Mode Ultrasound
Author:
Affiliation:
1. School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, China
2. Department of Pharmacy, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation
Link
http://xplorestaging.ieee.org/ielx7/7333/9695946/09881558.pdf?arnumber=9881558
Reference30 articles.
1. Toward an Enhanced Human–Machine Interface for Upper-Limb Prosthesis Control With Combined EMG and NIRS Signals
2. Toward Portable Hybrid Surface Electromyography/A-Mode Ultrasound Sensing for Human–Machine Interface
3. Novel Method for Predicting Dexterous Individual Finger Movements by Imaging Muscle Activity Using a Wearable Ultrasonic System
4. Using Ultrasound Images of the Forearm to Predict Finger Positions
5. Continuous Monitoring of Sonomyography, Electromyography and Torque Generated by Normal Upper Arm Muscles During Isometric Contraction: Sonomyography Assessment for Arm Muscles
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1. Human–Machine Interaction Technology for Simultaneous Gesture Recognition and Force Assessment: A Review;IEEE Sensors Journal;2023-11-15
2. Sonomyography for Control of Upper-Limb Prostheses: Current State and Future Directions;JPO Journal of Prosthetics and Orthotics;2023-08-11
3. SonicGest: Ultrasonic Gesture Recognition System Combined with GAN on Smartphones;Journal of Sensors;2023-06-15
4. Recognition of Hand Gestures Based on EMG Signals with Deep and Double-Deep Q-Networks;Sensors;2023-04-12
5. Intelligent Systems for Muscle Tracking: A Review on Sensor‐Algorithm Synergy;Advanced Intelligent Systems;2023-03-23
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