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Estimation of Wrist Movements based on a Regression Technique for Wearable Robot Interfaces
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  • Journal title : Journal of KIISE
  • Volume 42, Issue 12,  2015, pp.1544-1550
  • Publisher : Korean Institute of Information Scientists and Engineers
  • DOI : 10.5626/JOK.2015.42.12.1544
 Title & Authors
Estimation of Wrist Movements based on a Regression Technique for Wearable Robot Interfaces
Park, Ki-Hee; Lee, Seong-Whan;
 
 Abstract
Recently, the development of practical wearable robot interfaces has resulted in the emergence of wearable robots such as arm prosthetics or lower-limb exoskeletons. In this paper, we propose a novel method of wrist movement intention estimation based on a regression technique using electromyography of human bio-signals. In daily life, changes in user arm position changes cause decreases in performance by modulating EMG signals. Therefore, we propose an estimation method for robust wrist movement intention for arm position changes, combining several movement intention models based on the regression technique trained by different arm positions. In our experimental results, our method estimates wrist movement intention more accurately than previous methods.
 Keywords
Wearable Robot Interfaces;Electromyogram;Pattern Recognition;Regression Technique;
 Language
Korean
 Cited by
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