Feature analysis for the EMG signals based on the class distance

Proceedings of IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA

Volumn 2, Issue , 2003, Pages 860-863

  Yazama, Yuuki ^a   Mitsukura, Yasue ^b   Fukumi, Minora ^a   Akamatsu, Norio ^a  

^a UNIVERSITY OF TOKUSHIMA   (Japan)

^b OKAYAMA UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; AUTOMATION; BIOMEDICAL SIGNAL PROCESSING; ELECTROMYOGRAPHY; FREQUENCY BANDS; GENETIC ALGORITHMS; PATTERN RECOGNITION; ROBOTICS;

CLASS-DISTANCE; EMG SIGNAL; FEATURE ANALYSIS; FEATURE VECTORS; SELECTED FREQUENCY BAND;

SIGNAL ANALYSIS;

EID: 37249075395     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIRA.2003.1222292     Document Type: Conference Paper

References (7)

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2. D. Nishikawa, H. Yokoi, and Y. Kakazu. Design of motion-recognizer using electoromyogram. In Robotics and Mechatronics Division, June 1998, in Japanese.
3. D. Nishikawa, W Y.u., H. Yokoi, and Y. Kakazu. Online Supervising Mechanism for Learning Data in Surface Electromyogram Motion Classifiers. In IEICE, D-II Vol J84, No. 12, pp. 2634-2643, December 2001.
4. M. Vuskovic, and S. Du. Classification of Prehensile EMG Patterns With Simplified Fuzzy ARTMAP Networks. JIJCNN, Honolulu, Hawaii, May 2002.
5. Wenwei Yu, Hiroshi Yokoi, Yukinori Kakazu, and Daisuke Nishikawa. Electromyographic(EMG) Pattern Recognition by Reinforcement Learning Method for Prosthetic Arm Control. Complex System Engineering Dept., Hokkaido University, SAPPORO in Japanese.
6. Yuuki Yazama, Yasue Mitsukura, Fukumi Minora and Norio Akamatsu. Feature Analysis for EMG signals by Using an Evolutionary Method. SICE System Integration Division Annual Conference., Kobe, December 2002, in Japanese.
7. Shin'ichiro Omachi, Hiroko Yokoyama and Hirotomo Aso. Subject Arrangement in the Euclidean Space Using Geneteic Algorithm. IEICE., D-II Vol. J82-D-II, No. 12, pp. 2195-2202, December 1999.