A Multimodal Fusion Model for Estimating Human Hand Force: Comparing surface electromyography and ultrasound signals
Author:
Affiliation:
1. School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
2. State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China
Funder
National Natural Science Foundation of China
Beijing Municipal Natural Science Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/100/9975153/09794325.pdf?arnumber=9794325
Reference20 articles.
1. A Lightweight Ultrasound Probe for Wearable Human–Machine Interfaces
2. Toward Intuitive Prosthetic Control: Solving Common Issues Using Force Myography, Surface Electromyography, and Pattern Recognition in a Pilot Case Study
3. Simultaneous estimation of multi-finger forces by surface electromyography and accelerometry signals
4. Simultaneous and Continuous Estimation of Joint Angles Based on Surface Electromyography State-Space Model
5. A Rapid Spiking Neural Network Approach With an Application on Hand Gesture Recognition
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