International Journal of Soft Computing And Artificial Intelligence (IJSCAI)
Follow Us On :
current issues
Volume-8,Issue-1  ( May, 2020 )
Statistics report
Mar. 2021
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 15
Paper Published : 194
No. of Authors : 549
  Journal Paper

Paper Title
Driver's State Monitoring By Function Of Facial Expression Detection For Autonomous Driving

Some driver may be angry when a traffic congestion happens. Anger is thought as crucial risk factor which may result in severe traffic accidents. Driver’s psychosomatic state adaptive driving support safety function may play effective role to reduce that kind of traffic accidents. Consequently, detection technology of anger is highly expected. This research firstly clarified root cause of traffic incidents experiences by means of executing Internet survey. From statistical analysis of the traffic incidents experiences, major psychosomatic state just before traffic incidents were identified as haste, distraction, drowsiness and anger. This research focused anger of a driver while driving. By means of using Kohonen neural network, this research created a technology to detect angry state of a driver in high accuracy. Recently autonomous driving of vehicle is said to be introduced into commercial market in the near future. A novel driver’s psychosomatic state adaptive driving support safety function is proposed in cooperation with an autonomous driving unit to reduce the number of traffic accidents. Index Terms—Traffics incidents, anger, Driver, Kohonen Neural Network, driver’s state monitoring.

Author - Masahiro Miyaji

| PDF |
Viewed - 78
| Published on 2016-06-09
IRAJ Other Journals
IJSCAI updates
IJSCAI Volume-6,Issue-2 ( Nov, 2018 )
The Conference World