An Automatic Rehabilitation Assessment System for Hand Function Based on Leap Motion and Ensemble Learning-Reference-Cited by-同舟云学术

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An Automatic Rehabilitation Assessment System for Hand Function Based on Leap Motion and Ensemble Learning

Published:2020-10-06 Issue:1 Volume:52 Page:3-25
ISSN:0196-9722
Container-title:Cybernetics and Systems
language:en
Short-container-title:Cybernetics and Systems

Author:

Li Chenguang¹²,Cheng Long¹²,Yang Hongjun¹²,Zou Yongxiang¹²,Huang Fubiao³

Affiliation:

1. State Key Laboratory for Control and Management of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China

2. School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China

3. Department of Occupational Therapy, China Rehabilitation Research Center, Beijing, China

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Information Systems,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/01969722.2020.1827798

Reference23 articles.

1. Upper Extremity Function Assessment Using a Glove Orthosis and Virtual Reality System

2. Exploiting Recurrent Neural Networks and Leap Motion Controller for the Recognition of Sign Language and Semaphoric Hand Gestures

3. Kinect-based assessment of proximal arm non-use after a stroke

4. Kinematic synergies of hand grasps: a comprehensive study on a large publicly available dataset

5. Upper-Limb Function Assessment Using VBBTs for Stroke Patients

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2. Designing an Augmented Reality-Based Serious Game for Rehabilitation of Post-Stroke Patient's Hand Coordination and Motor Skills;2023 International Conference on Information Technology and Computing (ICITCOM);2023-12-01

3. Efficacy Comparison of Augmented Reality and Virtual Reality-based Games for Post-Stroke Rehabilitation: A Systematic Literature Review;2023 9th International HCI and UX Conference in Indonesia (CHIuXiD);2023-11-18

4. A Virtual Reality-Based Serious Game Designed for Personalized Hand Motor Rehabilitation;2023 International Conference on Networking and Advanced Systems (ICNAS);2023-10-21

5. Multi-modal fusion for robust hand gesture recognition based on heterogeneous networks;Science China Technological Sciences;2023-10-08

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