Identifying Traffic Context Using Driving Stress: A Longitudinal Preliminary Case Study.

Bitkina, Olga Vl; Kim, Jungyoon; Park, Jangwoon; Park, Jaehyun; Kim, Hyun K

Bitkina, Olga Vl; Kim, Jungyoon; Park, Jangwoon; Park, Jaehyun; Kim, Hyun K.

Afiliación

Bitkina OV; Department of Industrial and Management Engineering, Incheon National University (INU), Incheon 22012, Korea. olgabitkina@inu.ac.kr.
Kim J; Department of Computer Science, Kent State University, Kent, OH 44242, USA. jkim78@kent.edu.
Park J; Department of Engineering, Texas A&M University-Corpus Christi, Corpus Christi, TX 78412, USA. Jangwoon.Park@tamucc.edu.
Park J; Department of Industrial and Management Engineering, Incheon National University (INU), Incheon 22012, Korea. jaehpark@inu.ac.kr.
Kim HK; School of Information Convergence, Kwangwoon University, Seoul 01897, Korea. hyunkkim@kw.ac.kr.

Sensors (Basel) ; 19(9)2019 May 09.

Article en En | MEDLINE | ID: mdl-31075920

Palabras clave

artificial intelligence; driving stress; electrodermal activity; road traffic; road types

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sensors (Basel) Año: 2019 Tipo del documento: Article Pais de publicación: Suiza

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