Comparative Learning for Cross-Subject Finger Movement Recognition in Three Arm Postures via Data Glove

• Published in: IEEE transactions on neural systems and rehabilitation engineering Vol. 33; p. 1
• Main Authors: Jiang, Lei, Zeng, Fengmeng, Yu, Annie
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.01.2025
• Subjects: Accuracy; Adaptation models; Adult; Algorithms; Arm - physiology; Biomedical monitoring; comparative learning; Contrastive learning; cross-subject; data glove; Data gloves; Data models; Feature extraction; Female; finger movement recognition; Fingers - physiology; Gesture recognition; Gestures; Hands; Humans; Indexes; Machine Learning; Male; Movement - physiology; Neural Networks, Computer; Pattern Recognition, Automated - methods; Posture - physiology; Reproducibility of Results; Siamese network; Young Adult

Reliable recognition of therapeutic hand and finger movements is a prerequisite for effective home-based rehabilitation, where patients must exercise without continuous therapist supervision. Inter-subject variability, stemming from differences in hand size, joint flexibility, and movement speed lim...