Stress State Evaluation by an Improved Support Vector Machine

• Veröffentlicht in: Нейрофизиология
• Datum: 2016
• Hauptverfasser: Xin, L., Zetao, Ch., Yunpeng, Zh., Jiali, X., Shuicai, W., Yanjun, Z.
• Format: Artikel
• Sprache: Englisch
• Veröffentlicht: Інститут фізіології ім. О.О. Богомольця НАН України 2016
• Online Zugang: https://nasplib.isofts.kiev.ua/handle/123456789/148339
• Назва журналу: Digital Library of Periodicals of National Academy of Sciences of Ukraine
• Zitieren: 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 th...