Driver Drowsiness Detection Based on Multisource Information

被引：39

作者：

Cheng, Bo ^{[2
]}

Zhang, Wei ^{[2
]}

Lin, Yingzi ^{[1
]}

Feng, Ruijia ^{[2
]}

Zhang, Xibo ^{[2
]}

机构：

[1] Northeastern Univ, Dept Mech & Ind Engn, Boston, MA 02115 USA

[2] Tsinghua Univ, State Key Lab Automot Safety & Energy, Beijing 100084, Peoples R China

来源：

HUMAN FACTORS AND ERGONOMICS IN MANUFACTURING & SERVICE INDUSTRIES | 2012年 / 22卷 / 05期

基金：

国家高技术研究发展计划(863计划); 美国国家科学基金会;

关键词：

ITS; Automotive active safety; Driver assistance system; Drowsy driving; Multisource information fusion; FATIGUE; TIME; FUSION;

D O I：

10.1002/hfm.20395

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Driver drowsiness is one of the major causes of on-road accidents. Abnormal eye behavior, steering wheel activity, and vehicle trajectory during different drowsiness stages were studied in detail to overcome the limitations of single-sensor approaches. Some measures, such as percentage of eyelid closure, maximum close duration, and percentage of nonsteering were analyzed using analysis of variance (ANOVA) methods. Moreover, a two-stage data fusion framework was developed for the modeling combination of information from different sources. Fisher's linear discriminant was implied as the feature-level fusion method, and Dempster-Shafer evidence theory was introduced in the decision-level fusion process. The results suggest that the recognition system proposed here provided 90.7% accuracy. The reliability and accuracy of the fusion method were significantly higher than those of single sensors. (C) 2012 Wiley Periodicals, Inc.

引用

页码：450 / 467

页数：18

共 27 条

[21] Fatigue and individual differences in monotonous simulated driving [J].

Thiffault, P ;

Bergeron, J .

PERSONALITY AND INDIVIDUAL DIFFERENCES, 2003, 34 (01) :159-176

[22]

Ueno H., 1994, 1994 Vehicle Navigation and Information Systems Conference Proceedings (Cat. No.94CH35703), P15, DOI 10.1109/VNIS.1994.396873

[23] Rapid object detection using a boosted cascade of simple features [J].

Viola, P ;

Jones, M .

2001 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOL 1, PROCEEDINGS, 2001, :511-518

[24] EVALUATION OF DRIVER DROWSINESS BY TRAINED RATERS [J].

WIERWILLE, WW ;

ELLSWORTH, LA .

ACCIDENT ANALYSIS AND PREVENTION, 1994, 26 (05) :571-581

[25]

Yang G, 2005, IEEE SYS MAN CYBERN, P1777

[26] A driver fatigue recognition model based on information fusion and dynamic Bayesian network [J].

Yang, Guosheng ;

Lin, Yingzi ;

Bhattacharya, Prabir .

INFORMATION SCIENCES, 2010, 180 (10) :1942-1954

[27] FEATURE-EXTRACTION FROM FACES USING DEFORMABLE TEMPLATES [J].

YUILLE, AL ;

HALLINAN, PW ;

COHEN, DS .

INTERNATIONAL JOURNAL OF COMPUTER VISION, 1992, 8 (02) :99-111

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