E-Health Telecommunication Systems and Networks

Vol.3 No.2(2014), Paper ID 45902, 9 pages

DOI:10.4236/etsn.2014.32002

 

Mood States Recognition of Rowing Athletes Based on Multi-Physiological Signals Using PSO-SVM

 

Jing Wang, Pei Lei, Kun Wang, Lijuan Mao, Xinyu Chai

 

School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
School of Physical Education, Shanghai Jiao Tong University, Shanghai, China
School of Physical Education, Shanghai Jiao Tong University, Shanghai, China
School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China

 

Copyright © 2014 Jing Wang, Pei Lei, Kun Wang, Lijuan Mao, Xinyu Chai et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

 

How to Cite this Article


Wang, J. , Lei, P. , Wang, K. , Mao, L. and Chai, X. (2014) Mood States Recognition of Rowing Athletes Based on Multi-Physiological Signals Using PSO-SVM. E-Health Telecommunication Systems and Networks, 3, 9-17. doi: 10.4236/etsn.2014.32002.

Copyright © 2021 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.