Flexible Neural Trees for Online Hand Gesture Recognition using Surface Electromyography

Journal of Computers

Volumn 7, Issue 5, 2012, Pages 1099-1103

  Guo, Yina ^a   Wang, Qinghua ^a   Huang, Shuhua ^a   Abraham, Ajith ^b  

^a TAIYUAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b SCIENTIFIC NETWORK FOR INNOVATION AND RESEARCH EXCELLENCE   (United States)

Author keywords

Artificial Neural Network (ANN); Flexible Neural Trees (FNT); Online pattern recognition; Surface Electromyography (sEMG)

Indexed keywords

CIRCUIT CONNECTIONS; COMPLEX CIRCUITS; COMPUTATIONAL MODEL; ENSEMBLE METHODS; FLEXIBLE NEURAL TREES; HAND GESTURE; HAND-GESTURE RECOGNITION; INSTRUCTION SET; ON-LINE RECOGNITION; REAL TIME; SKIN SURFACES; STRUCTURE DEPENDENT; SUPERFICIAL MUSCLES; SURFACE ELECTROMYOGRAPHY;

GESTURE RECOGNITION; NEURAL NETWORKS; PATTERN RECOGNITION; SIGNAL PROCESSING;

FORESTRY;

COMPUTATION; ELECTRIC CIRCUITS; FORESTRY; MATHEMATICAL MODELS; NEURAL NETWORKS; PATTERN RECOGNITION; SIGNALS;

EID: 84860281063     PISSN: 1796203X     EISSN: None     Source Type: Journal    
DOI: 10.4304/jcp.7.5.1099-1103     Document Type: Article

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