Robust Payload Recognition Based on Sensor-Over-Muscle-Independence Deep Learning for the Control of Exoskeletons
Author:
Affiliation:
1. Department of Electronic Systems, Aalborg University, Aalborg, Denmark
2. Department of Materials and Production, Aalborg University, Aalborg, Denmark
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/8920/10235305/10102267.pdf?arnumber=10102267
Reference18 articles.
1. Force Myography to Control Robotic Upper Extremity Prostheses: A Feasibility Study
2. Effective Multi-Mode Grasping Assistance Control of a Soft Hand Exoskeleton Using Force Myography
3. A fabric-based wearable band for hand gesture recognition based on filament strain sensors: A preliminary investigation
4. Exploration of Force Myography and surface Electromyography in hand gesture classification
5. A Wireless Multi-Channel Capacitive Sensor System for Efficient Glove-Based Gesture Recognition With AI at the Edge
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1. A Wearable Multi-Modal Digital Upper Limb Assessment System for Automatic Musculoskeletal Risk Evaluation;Sensors;2023-05-18
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