Stress State Evaluation by an Improved Support Vector Machine

• Published in: Нейрофизиология
• Date: 2016
• Main Authors: Xin, L., Zetao, Ch., Yunpeng, Zh., Jiali, X., Shuicai, W., Yanjun, Z.
• Format: Article
• Language: English
• Published: Інститут фізіології ім. О.О. Богомольця НАН України 2016
• Online Access: https://nasplib.isofts.kiev.ua/handle/123456789/148339
• Journal Title: Digital Library of Periodicals of National Academy of Sciences of Ukraine
• Cite this: Stress State Evaluation by an Improved Support Vector Machine / L. Xin, Ch. Zetao, Zh. Yunpeng, X. Jiali, W. Shuicai, Z. Yanjun // Нейрофизиология. — 2016. — Т. 48, № 2. — С. 96-102. — Бібліогр.: 15 назв. — англ.

Effective methods of evaluation of the psychological pressure can detect and assess realtime stress states, warning people to pay necessary attention to their health. This study is focused on the stress assessment issue using an improved support vector machine (SVM) algorithm on the base of surfac...