ICFICE 2018
Current Result Document :
| 한글제목(Korean Title) |
Intelligent Seat Model for Correction of Driver's Posture while Driving using Logistic Regression |
| 영문제목(English Title) |
Intelligent Seat Model for Correction of Driver's Posture while Driving using Logistic Regression |
| 저자(Author) |
Heum Park
Changbum Lee
Chang Min Park
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| 원문수록처(Citation) |
VOL 10 NO. 01 PP. 0191 ~ 0194 (2018. 06) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
This paper presents an intelligent seat model for correction of driver’s posture while driving using logistic regression algorithm. For good driver’s postures, it adjusts seat height, seat angle, head height, back of knees, distances of foot pedals, tilt of seat, etc. for each driver. There have been some studies on correction of good posture, effects of driving environment on driver’s posture, and sitting strategies based on seating pressure distribution and estimation of driver’s standard postures. However, there are a few studies on correction of driver’s postures while driving for problem of the postures using machine learning algorithm. Therefore, we suggest an intelligent seat model for correction of driver’s posture based on logistic regression using the system developed with C-type piezoelectric effect elements to get the postures. First, we collect the piezoelectric values from 37 drivers and 17 types of cars from the system, second, define 4 types of good postures while driving for labels, and third, analyze the postures for test data using logistic regression algorithm. As the results, we can guide good postures for bad or problems of postures while driving.
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| 키워드(Keyword) |
Piezoelectric Effect Element
Machine Learning
Intelligent Seat
Correction of Posture
Logistic Regression
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| 파일첨부 |
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