Distinguishing patterns in drivers’ visual attention allocation using Hidden Markov Models

Mauricio Muñoz,Bryan Reimer,Joonbum Lee,Bruce Mehler,Lex Fridman

Transportation Research Part F: Traffic Psychology and Behaviour（2016）

引用 28|浏览10

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摘要

•Hidden Markov Models differentiated 3 driving task periods at over 95% accuracy.•Accuracy was tested considering glance location, duration, and the combination.•Voice-interactions were associated with a broader distribution of visual attention.•Confusion matrix modeling may be useful in evaluating visual demand of HMIs.

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关键词

Driving,Glance,Time series,Machine learning,Voice systems,Visual-manual interface

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