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Detection of Stress Levels from Biosignals Measured in Virtual Reality Environments Using a Kernel-Based Extreme Learning Machine.
Cho, Dongrae; Ham, Jinsil; Oh, Jooyoung; Park, Jeanho; Kim, Sayup; Lee, Nak-Kyu; Lee, Boreom.
Afiliación
  • Cho D; Department of Biomedical Science and Engineering (BMSE), Institute of Integrated Technology (IIT), Gwangju Institute of Science and Technology, Gwangju 61005, Korea. dongrae16@gist.ac.kr.
  • Ham J; Department of Biomedical Science and Engineering (BMSE), Institute of Integrated Technology (IIT), Gwangju Institute of Science and Technology, Gwangju 61005, Korea. trueham@gist.ac.kr.
  • Oh J; Department of Biomedical Science and Engineering (BMSE), Institute of Integrated Technology (IIT), Gwangju Institute of Science and Technology, Gwangju 61005, Korea. jooyoungoh@gist.ac.kr.
  • Park J; Research Institute of Industrial Technology Convergence, Korea Institute of Industrial Technology, Ansan 15588, Korea. jeanho@kitech.re.kr.
  • Kim S; Research Institute of Industrial Technology Convergence, Korea Institute of Industrial Technology, Ansan 15588, Korea. sayub@kitech.re.kr.
  • Lee NK; Research Institute of Industrial Technology Convergence, Korea Institute of Industrial Technology, Ansan 15588, Korea. nklee@kitech.re.kr.
  • Lee B; Department of Biomedical Science and Engineering (BMSE), Institute of Integrated Technology (IIT), Gwangju Institute of Science and Technology, Gwangju 61005, Korea. leebr@gist.ac.kr.
Sensors (Basel) ; 17(10)2017 Oct 24.
Article en En | MEDLINE | ID: mdl-29064457
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Sensors (Basel) Año: 2017 Tipo del documento: Article Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Sensors (Basel) Año: 2017 Tipo del documento: Article Pais de publicación: Suiza