Meta-Learning for Fast Adaptation in Intent Inferral on a Robotic Hand Orthosis for Stroke

• Published in: Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems Vol. 2024; pp. 4693 - 4700
• Main Authors: La Rotta, Pedro Leandro, Xu, Jingxi, Chen, Ava, Winterbottom, Lauren, Chen, Wenxi, Nilsen, Dawn, Stein, Joel, Ciocarlie, Matei
• Format: Conference Proceeding Journal Article
• Language: English
• Published: United States IEEE 01.10.2024
• Subjects: Data collection; Electromyography; Hands; Intelligent robots; Machine learning; Metalearning; Muscles; Neural networks; Spasticity; Training data
• ISSN: 2153-0858; 2153-0866
• DOI: 10.1109/IROS58592.2024.10801596

We propose MetaEMG, a meta-learning approach for fast adaptation in intent inferral on a robotic hand orthosis for stroke. One key challenge in machine learning for assistive and rehabilitative robotics with disabled-bodied subjects is the difficulty of collecting labeled training data. Muscle tone...