@inproceedings{b799b748e3094c73b028f1d371fddc55,
title = "Feature Classification of Skilled and Unskilled Persons in Car Driving Operation",
abstract = "This study was conducted to find out exactly how experts are driving a car from objective data during driving operation, focusing on improving driving skills. Experiments were conducted using a sports sedan type experimental vehicle that can change the assist amount of the steering wheel, using a circumferential circuit having multiple curves in an automobile company. For the analysis, steering angle data obtained from the vehicle and electromyogram data obtained from an electromyograph are used. From the analysis of the steering angle, the skilled turn curves with less turning the steering compared to the unskilled. From the analysis of the steering angular velocity data and the steering angular acceleration data, it became possible to classify them into skilled and unskilled in the steering handle operation rhythm during driving. From the analysis of the electromyogram data, focusing on the triangular muscle on the push side during the curve, it became possible to classify into skilled and unskilled.",
keywords = "Car, Electromyogram, Quantification, Steering angle",
author = "Takuro Sugita and Reiko Mitsuya and Takeshi Torii and Akiko Sugiyama and Kohei Sugawara and Hiroki Dobashi and Takashi Kawai",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG, part of Springer Nature 2019.; AHFE International Conference on Human Factors in Transportation, 2018 ; Conference date: 21-07-2018 Through 25-07-2018",
year = "2019",
doi = "10.1007/978-3-319-93885-1_68",
language = "English",
isbn = "9783319938844",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "739--748",
editor = "Neville Stanton",
booktitle = "Advances in Human Aspects of Transportation - Proceedings of the AHFE 2018 International Conference on Human Factors in Transportation, 2018",
}