Work

Driver fatigue transition prediction in highly automated driving using physiological features

Year: 2020

Type: article

Source: Expert Systems with Applications

DOI: 10.1016/j.eswa.2020.113204

Authors: Feng Zhou, Areen Alsaid, Mike Blommer, Reates Curry, Radhakrishnan Swaminathan, Dev Kochhar, Walter Talamonti, Louis Tijerina, Baiying Lei

Institutions: University of Michigan–Dearborn, University of Wisconsin–Madison, Ford Motor Company (United States), Shenzhen University, Shenzhen University Health Science Center

Language: English

Topic: Sleep and Work-Related Fatigue

Subfield: Experimental and Cognitive Psychology

Field: Psychology

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: closed

Funder: Ford Motor Company

OpenAlex ID: W2999995229

FWCI: 14.73

Cites: 50

Cited by: 117

Related to: 10