Motion recognition for unsupervised hand rehabilitation using support vector machine

2012 IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Electronics and Systems for Better Life and Better Environment, BioCAS 2012 - Conference Publications

Volumn , Issue , 2012, Pages 104-107

  Guo, Liquan ^a   Wang, Jiping ^a   Fang, Qiang ^a   Gu, Xudong ^b   Fu, Jianming ^b  

^a SUZHOU INSTITUTE OF BIOMEDICAL ENGINEERING AND TECHNOLOGY   (China)

^b Second Hospital of Jiaxing   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ASSOCIATED COSTS; AUTOMATED SYSTEMS; CLINICAL RESEARCH; DEVELOPED MODEL; HAND MOTION; HAND REHABILITATION; HOT RESEARCH TOPICS; MOTION DATA; MOTION RECOGNITION; RECOGNITION ACCURACY; ROBUST CLASSIFICATION SYSTEM; SMALL SAMPLES; STROKE PATIENTS; STROKE REHABILITATION; SUPPORT VECTOR; WRIST MOVEMENTS;

AUTOMATION; FEATURE EXTRACTION; NEUROMUSCULAR REHABILITATION; SUPPORT VECTOR MACHINES;

RESEARCH;

EID: 84874133342     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BioCAS.2012.6418485     Document Type: Conference Paper

References (6)

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5. Liquan Guo, Lei Yu, and Qiang Fang, "Upper Limb Motion Recognition for Unsupervised Stroke Rehabilitation Based on Support Vector Machine," International Symposium on Bioelectronics and Bioinformatics, Suzhou, China, 3-5 November, 2011,37-40.
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