The fusion of HRV and EMG signals for automatic gender recognition during stepping exercise

In this paper, a new gender recognition framework based on fusion of features extracted from healthy people electromyogram (EMG) and heart rate variability (HRV) during stepping activity using a stepper machine is proposed. An approach is investigated for the fusion of EMG and HRV which is feature f...

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Bibliographic Details
Main Authors: Rosli, N. A. I. M., Rahman, M. A. A., Balakrishnan, M., Mazlan, S. A., Zamzuri, H.
Format: Article
Language:English
Published: Universitas Ahmad Dahlan 2017
Subjects:
Online Access:http://eprints.utm.my/75642/1/NorAziyatulIzni_TheFusionofHRVandEMGSignals.pdf