Muscle Synergy-based Grasp Classification for Robotic Hand Prosthetics
Author:
Affiliation:
1. Cognitive Systems Lab, Northeastern University
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3056540.3076208
Reference15 articles.
1. RSL Steeper BeBionic3. http://bebionic.com/. Accessed: 2017-03-21. RSL Steeper BeBionic3. http://bebionic.com/. Accessed: 2017-03-21.
2. Muscle synergies as a predictive framework for the EMG patterns of new hand postures
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5. A fast non-negativity-constrained least squares algorithm
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2. Vision-aided grasp classification: design and evaluation of compact CNN for prosthetic hands;Biomedical Physics & Engineering Express;2024-05-15
3. Multimodal fusion of EMG and vision for human grasp intent inference in prosthetic hand control;Frontiers in Robotics and AI;2024-02-27
4. Developing Prosthetic Hand: Innovation in Hand Movement for Paralyzed Individuals;Lecture Notes in Computer Science;2024
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