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Reducing the effect of wrist variation on pattern recognition of Myoelectric Hand Prostheses Control through Dynamic Time Warping
Omkar S. Powar
*
, Krishnan Chemmangat
*
Corresponding author for this work
Department of Biomedical Engineering, Manipal Institute of Technology, Manipal
Research output
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Contribution to journal
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Article
›
peer-review
11
Citations (Scopus)
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Dive into the research topics of 'Reducing the effect of wrist variation on pattern recognition of Myoelectric Hand Prostheses Control through Dynamic Time Warping'. Together they form a unique fingerprint.
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INIS
pattern recognition
100%
control
100%
prostheses
100%
variations
100%
dynamics
100%
hands
100%
classification
83%
accuracy
66%
performance
50%
data
50%
motion
33%
comparative evaluations
16%
increasing
16%
power
16%
processing
16%
orientation
16%
limbs
16%
Computer Science
Classification Accuracy
100%
Pattern Recognition
100%
Dynamic Time Warping
100%
Pattern Recognition Systems
75%
Electromyography
75%
Performance Measure
25%
Processing Time
25%
Engineering
Classification Accuracy
100%
Pattern Recognition
100%
Prosthesis
100%
Pattern Recognition Systems
75%
Time Domain
25%
Performance Measure ψ
25%
Processing Time
25%