Natural Grasp Intention Recognition Based on Gaze in Human–Robot Interaction-Reference-Cited by-同舟云学术

Natural Grasp Intention Recognition Based on Gaze in Human–Robot Interaction

Published:2023-04 Issue:4 Volume:27 Page:2059-2070
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Yang Bo¹^ORCID,Huang Jian¹^ORCID,Chen Xinxing²^ORCID,Li Xiaolong¹,Hasegawa Yasuhisa³^ORCID

Affiliation:

1. Key Laboratory of Image Processing and Intelligent Control, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China

2. Shenzhen Key Laboratory of Biomimetic Robotics and Intelligent Systems, Shenzhen, China

3. Department of Micro-Nano Mechanical Science and Engineering, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Japan

Funder

National Natural Science Foundation of China

International Science and Technology Cooperation Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

http://xplorestaging.ieee.org/ielx7/6221020/10092240/10023502.pdf?arnumber=10023502

Reference30 articles.

1. Enhancing patient freedom in rehabilitation robotics using gaze-based intention detection

2. Intent Prediction Based on Biomechanical Coordination of EMG and Vision-Filtered Gaze for End-Point Control of an Arm Prosthesis

3. Implicit Intention Communication in Human–Robot Interaction Through Visual Behavior Studies

4. Predicting Targets of Human Reaching Motions Using Different Sensing Technologies

5. Feature-Selection-Based Transfer Learning for Intracortical Brain–Machine Interface Decoding

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