NON-INTRUSIVE DROWSINESS DETECTION TECHNIQUES AND THEIR APPLICATION IN DETECTING EARLY DEMENTIA IN OLDER DRIVERS.

Jan, Muhammad Tanveer; Hashemi, Ali; Jang, Jinwoo; Yang, Kwangsoo; Zhai, Jiannan; Newman, David; Tappen, Ruth; Furht, Borko

Jan, Muhammad Tanveer; Hashemi, Ali; Jang, Jinwoo; Yang, Kwangsoo; Zhai, Jiannan; Newman, David; Tappen, Ruth; Furht, Borko.

Affiliation

Jan MT; College of Engineering and Computer Science, Florida Atlantic University, Boca Raton FL 33431 USA.
Hashemi A; College of Engineering and Computer Science, Florida Atlantic University, Boca Raton FL 33431 USA.
Jang J; College of Engineering and Computer Science, Florida Atlantic University, Boca Raton FL 33431 USA.
Yang K; College of Engineering and Computer Science, Florida Atlantic University, Boca Raton FL 33431 USA.
Zhai J; College of Engineering and Computer Science, Florida Atlantic University, Boca Raton FL 33431 USA.
Newman D; Christine E. Lynn College of Nursing , Florida Atlantic University, Boca Raton FL 33431 USA.
Tappen R; Christine E. Lynn College of Nursing , Florida Atlantic University, Boca Raton FL 33431 USA.
Furht B; College of Engineering and Computer Science, Florida Atlantic University, Boca Raton FL 33431 USA.

Proc Future Technol Conf Vol 2 (2022) ; 560(V2): 776-796, 2023.

Article de En | MEDLINE | ID: mdl-36972186

Mots clés

Drowsiness; Fatigue; Vehicular based; behavioural based; early-stage dementia

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Diagnostic_studies Langue: En Journal: Proc Future Technol Conf Vol 2 (2022) Année: 2023 Type de document: Article Pays de publication: Suisse

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