A driver fatigue recognition model based on information fusion and dynamic Bayesian network

Information Sciences

Volumn 180, Issue 10, 2010, Pages 1942-1954

  Yang, Guosheng ^b   Lin, Yingzi ^a   Bhattacharya, Prabir ^c  

^a Northeastern University   (United States)

^b MINZU UNIVERSITY OF CHINA   (China)

^c University of Cincinnati   (United States)

Author keywords

Contextual features; Driver fatigue recognition; Dynamic Bayesian network; Information fusion; Physiological features

Indexed keywords

CONTEXTUAL FEATURE; DRIVER FATIGUE; DYNAMIC BAYESIAN NETWORK; EXPERIMENTAL VALIDATIONS; FIRST-ORDER HIDDEN MARKOV MODELS; PHYSIOLOGICAL FEATURES; RECOGNITION MODELS; SIGNIFICANT FACTORS; TIME SLICE;

AUTOMOBILE DRIVERS; DISTRIBUTED PARAMETER NETWORKS; ELECTROCARDIOGRAPHY; ELECTROCHROMIC DEVICES; ELECTROENCEPHALOGRAPHY; HIDDEN MARKOV MODELS; INFERENCE ENGINES; INFORMATION FUSION; INTELLIGENT NETWORKS; PHYSIOLOGICAL MODELS;

BAYESIAN NETWORKS;

EID: 77549086087     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2010.01.011     Document Type: Article

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