Arm motion analysis using genetic algorithm for rehabilitation and healthcare-Reference-Cited by-同舟云学术

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Arm motion analysis using genetic algorithm for rehabilitation and healthcare

Published:2017-03 Issue: Volume:52 Page:81-92
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Obo Takenori,Loo Chu Kiong,Seera Manjeevan^ORCID,Takeda Takahiro,Kubota Naoyuki

Publisher

Elsevier BV

Subject

Software

Reference41 articles.

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4. Developing a well-being monitoring system—modeling and data analysis techniques;Majeed;Appl. Soft Comput.,2006

5. Behavioural pattern identification and prediction in intelligent environments;Mahmoud;Appl. Soft Comput.,2013

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1. Exploiting variability in the design of genetic algorithms to generate telerehabilitation activities;Applied Soft Computing;2022-03

2. Genetic Algorithm-Based Sliding Mode Control of a Human Arm Model;IFAC-PapersOnLine;2022

3. Feature-based Egocentric Grasp Pose Classification for Expanding Human-Object Interactions;2021 IEEE 30th International Symposium on Industrial Electronics (ISIE);2021-06-20

4. Supporting Rehabilitation Process with Novel Motion Capture Analysis Method;2018 2nd European Conference on Electrical Engineering and Computer Science (EECS);2018-12

5. A comparative study of motion recognition methods for efficacy assessment of upper limb function;International Journal of Adaptive Control and Signal Processing;2018-10-22

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