Art

J-GLOBAL ID：201602289192922586   Reference number：16A0999838

Drowsy behavior detection based on driving information

運転情報に基づく眠気行動検出

Author (8)： Wang M. S. (Graduate School of Mechanical Engineering, Sungkyunkwan University, Gyeonggi, Korea) ,  Jeong N. T. (Graduate School of Mechanical Engineering, Sungkyunkwan University, Gyeonggi, Korea) ,  Kim K. S. (Graduate School of Mechanical Engineering, Sungkyunkwan University, Gyeonggi, Korea) ,  Choi S. B. (Graduate School of Mechanical Engineering, Sungkyunkwan University, Gyeonggi, Korea) ,  Yang S. M. (Graduate School of Mechanical Engineering, Sungkyunkwan University, Gyeonggi, Korea) ,  You S. H. (Graduate School of Mechanical Engineering, Sungkyunkwan University, Gyeonggi, Korea) ,  Lee J. H. (Department of Automobile Engineering, Osan University, Gyeonggi, Korea) ,  Suh M. W. (School of Mechanical Engineering, Sungkyunkwan University, Gyeonggi, Korea)
Material： International Journal of Automotive Technology  (Int J Automot Technol)
Volume： 17  Issue： 1  Page： 165-173  Publication year： Feb. 2016 
JST Material Number： W1274A  ISSN： 1229-9138  Document type： Article
Article type： 原著論文  Country of issue： Germany, Federal Republic of (DEU)  Language： ENGLISH (EN)

Thesaurus term： *information ,  Sleep ,  *detection ,  training simulator ,  computer algorithm ,  algorithm ,  acceleration (ratio) ,  angle ,  parameter ,  neural network (biomodel) ,  Machine Learning ,  response time ,  steering angle ,  *Sleepiness ,  driving simulator
Semi thesaurus term： ensemble learning ,  random forest ,  driving simulator ,  *運転情報 ,  time window

Author keywords (6)： Drowsy behavior ,  Acceleration ,  Steering angle ,  Random forest ,  Ensemble machine learning method ,  Vehicle safety

JST classification (4)： Animal physiology in general  (EJ02010E) ,  Preventive medicine in general  (GB01010B) ,  Testing method and tests  (QG02040O) ,  Driver  (TB01040V)

Terms in the title (2)： 眠気 ,  行動