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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Bibliographic Details
Main Authors: Nor Aziyatul Izni Mohd Rosli, Mohd Azizi Abdul Rahman, Malarvili Balakrishnan, Takashi Komeda, Saiful Amri Mazlan, Hairi Zamzuri
Format: Article
Language:English
Published: MDPI AG 2017-03-01
Series:Applied Sciences
Subjects:
Online Access:http://www.mdpi.com/2076-3417/7/4/348