Study on Intention Recognition and Sensory Feedback: Control of Robotic Prosthetic Hand Through EMG Classification and Proprioceptive Feedback Using Rule-based Haptic Device-Reference-Cited by-同舟云学术

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

Published:2022-07-01 Issue:3 Volume:15 Page:560-571
ISSN:1939-1412
Container-title:IEEE Transactions on Haptics
language:
Short-container-title:IEEE Trans. Haptics

Author:

Cha Hyeongdo¹,An Sion¹^ORCID,Choi Seoyoung¹,Yang Seungun¹,Park SangHyun¹^ORCID,Park Sukho¹^ORCID

Affiliation:

1. Robotics Engineering, Daegu Gyeongbuk Institute of Science and Technology, Daegu, Korea

Funder

DGIST RD Program of the Ministry of Science and ICT

Korea Health Technology Development RD Project through the Korea Health Industry Development Institute KHIDI funded by the Ministry of Health Welfare

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Human-Computer Interaction

Link

http://xplorestaging.ieee.org/ielx7/4543165/9904514/09783070.pdf?arnumber=9783070

Reference22 articles.

1. Electrotactile feedback improves performance and facilitates learning in the routine grasping task

2. A Review of Non-Invasive Sensory Feedback Methods for Transradial Prosthetic Hands

3. i-Limb access,0

4. Classification of Finger Movements for the Dexterous Hand Prosthesis Control With Surface Electromyography

5. Evaluation of feature extraction techniques and classifiers for finger movement recognition using surface electromyography signal

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