Study on Intention Recognition and Sensory Feedback: Control of Robotic Prosthetic Hand Through EMG Classification and Proprioceptive Feedback Using Rule-based Haptic Device

• Published in: IEEE transactions on haptics Vol. 15; no. 3; pp. 560 - 571
• Main Authors: Cha, Hyeongdo, An, Sion, Choi, Seoyoung, Yang, Seungun, Park, SangHyun, Park, Sukho
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.07.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Artificial neural networks; Classification; Convolutional neural network; Convolutional neural networks; Electromyography; Feedback; Haptic interfaces; Haptics; myoelectric control; myoelectric signal classification; Performance evaluation; proprioceptive feedback device; Prostheses; Prosthetic hand; prosthetic hands; Recognition; Robot control; Robot sensing systems; robotic hands; Robotics; Robots; Sensors; Sensory feedback; sensory feedback device; wearable device

In this study, for intention recognition, a convolutional neural network (CNN) classification model using the electromyography (EMG) signals acquired from the subject was developed. For sensory feedback, a rule-based wearable proprioceptive feedback haptic device, a new method for providing feedback...