Wrist and Finger Gesture Recognition With Single-Element Ultrasound Signals: A Comparison With Single-Channel Surface Electromyogram
Author:
Funder
Natural Sciences and Engineering Research Council of Canada
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Biomedical Engineering
Link
http://xplorestaging.ieee.org/ielx7/10/8694044/08477106.pdf?arnumber=8477106
Cited by 56 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Estimating Wrist Joint Angle Based on M-Mode Ultrasound Signals;IEEE Robotics and Automation Letters;2024-09
2. Comparing online wrist and forearm EMG-based control using a rhythm game-inspired evaluation environment;Journal of Neural Engineering;2024-08-01
3. Estimation of joint torque in dynamic activities using wearable A-mode ultrasound;Nature Communications;2024-07-09
4. Unsupervised Feature Extraction From Raw Data for Gesture Recognition With Wearable Ultralow-Power Ultrasound;IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control;2024-07
5. Ultrasound as a Neurorobotic Interface: A Review;IEEE Transactions on Systems, Man, and Cybernetics: Systems;2024-06
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