Improved gender recognition during stepping activity for rehab application using the combinatorial fusion approach of EMG and HRV
Gender recognition is trivial for a physiotherapist, but it is considered a challenge for computers. The electromyography (EMG) and heart rate variability (HRV) were utilized in this work for gender recognition during exercise using a stepper. The relevant features were extracted and selected. The s...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Published: |
MDPI AG
2017
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/75345/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85017346611&doi=10.3390%2fapp7040348&partnerID=40&md5=83fc8e1d72303e6af620f222125ce212 |
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