GSR Signals Features Extraction for Emotion Recognition

Kipli, Kuryati and Latip, Aisya Amelia Abdul and Lias, Kasumawati and Bateni, Norazlina and Yusoff, Salmah Mohamad and Tajudin, Nurul Mirza Afiqah and Jalil, M. A. and Ray, Kanad and Shamim Kaiser, M. and Mahmud, Mufti (2022) GSR Signals Features Extraction for Emotion Recognition. In: Proceedings of Trends in Electronics and Health Informatics. Springer, Singapore, pp. 329-338. ISBN 978-981-16-8826-3

[img] PDF
978-981-16-8826-3_28 - Published Version
Restricted to Registered users only
Download (174kB)
Official URL: https://doi.org/10.1007/978-981-16-8826-3_28
Item Type: Book Chapter
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Depositing User: Kipli
Date Deposited: 30 Sep 2022 02:10
Last Modified: 30 Sep 2022 02:10
URI: http://ir.unimas.my/id/eprint/38467

Actions (For repository members only: login required)

View Item View Item
UNIMAS Institutional Repository is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.