Academic Journal

Feature selection for driving fatigue characterization and detection using visual- and signal-based sensors

التفاصيل البيبلوغرافية
العنوان: Feature selection for driving fatigue characterization and detection using visual- and signal-based sensors
المؤلفون: Henni, Khadidja, Mezghani, Neila, Gouin-Vallerand, Charles, Ruer, Perrine, Ouakrim, Youssef, Vallières, Évelyne F.
سنة النشر: 2018
المجموعة: TÉLUQ (Université du Québec): R-libre
الوصف: Driving fatigue detection has been the subject of several studies which relied on a set of features describing driver’s facial expressions, driving behaviors, and bio-signals. The purpose of this study is to improve driving fatigue detection by identifying the adequate set of features which accurately characterize fatigued drivers. The considered features are derived from non-intrusive sensors; they are related to the changes in driving behavior and visual facial expressions. The relevance is first investigated by several feature selection methods. Second, a meta-analysis was performed to investigate method agreement about the relevance of each feature in driving fatigue recognition. Support vector machine and DBSCAN classifiers were used to detect fatigue by means of the identified features. Experimental analyses are performed on a real-world database, collected through the computer vision system “FaceLab” and car sensors, from 66 senior drivers when driving an instrumented car on a highway. Results provide a list of the most discriminative features, which enhances the classification average accuracy to 89.13%.
نوع الوثيقة: text
وصف الملف: pdf
اللغة: English
Relation: https://r-libre.teluq.ca/1561/1/s40535-018-0054-9.pdf; Henni, Khadidja; Mezghani, Neila; Gouin-Vallerand, Charles; Ruer, Perrine; Ouakrim, Youssef et Vallières, Évelyne F. (2018). Feature selection for driving fatigue characterization and detection using visual- and signal-based sensors. Applied Informatics, 5 (7), 1-15. https://doi.org/10.1186/s40535‑018‑0054‑9
DOI: 10.1186/s40535-018-0054-9?wt_mc=Internal.Event.1.SEM.ArticleAuthorIncrementalIssue&utm_source=ArticleAuthorIncrementalIssue&utm_medium=email&utm_content=AA_en_06082018&ArticleAuthorIncrementalIssue_20181105
الاتاحة: https://r-libre.teluq.ca/1561/
https://r-libre.teluq.ca/1561/1/s40535-018-0054-9.pdf
https://link.springer.com/article/10.1186/s40535-018-0054-9?wt_mc=Internal.Event.1.SEM.ArticleAuthorIncrementalIssue&utm_source=ArticleAuthorIncrementalIssue&utm_medium=email&utm_content=AA_en_06082018&ArticleAuthorIncrementalIssue_20181105
رقم الانضمام: edsbas.E60BF7E
قاعدة البيانات: BASE
الوصف
DOI:10.1186/s40535-018-0054-9?wt_mc=Internal.Event.1.SEM.ArticleAuthorIncrementalIssue&utm_source=ArticleAuthorIncrementalIssue&utm_medium=email&utm_content=AA_en_06082018&ArticleAuthorIncrementalIssue_20181105