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

• 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: T Technology (General)
• Online Access: http://eprints.utm.my/id/eprint/75642/1/NorAziyatulIzni_TheFusionofHRVandEMGSignals.pdf; http://eprints.utm.my/id/eprint/75642/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85017388889&doi=10.12928%2fTELKOMNIKA.v15i2.6113&partnerID=40&md5=f409dfb99a8a377a0805ffd032cf0e25

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...