KJCKorea
Journal Central

@article{ART002778832},
author={Sangkon Han and Jung-in Choi},
title={Study on driver's distraction research trend and deep learning based behavior recognition model},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2021},
volume={26},
number={11},
pages={173-182},
doi={10.9708/jksci.2021.26.11.173}

TY - JOUR
AU - Sangkon Han
AU - Jung-in Choi
TI - Study on driver's distraction research trend and deep learning based behavior recognition model
JO - Journal of The Korea Society of Computer and Information
PY - 2021
VL - 26
IS - 11
PB - The Korean Society Of Computer And Information
SP - 173
EP - 182
SN - 1598-849X
AB - In this paper, we analyzed driver's and passenger's motions that cause driver's distraction, and recognized 10 driver's behaviors related to mobile phones. First, distraction-inducing behaviors were classified into environments and factors, and related recent papers were analyzed. Based on the analyzed papers, 10 driver's behaviors related to cell phones, which are the main causes of distraction, were recognized. The experiment was conducted based on about 100,000 image data. Features were extracted through SURF and tested with three models (CNN, ResNet-101, and improved ResNet-101). The improved ResNet-101 model reduced training and validation errors by 8.2 times and 44.6 times compared to CNN, and the average precision and f1-score were maintained at a high level of 0.98. In addition, using CAM (class activation maps), it was reviewed whether the deep learning model used the cell phone object and location as the decisive cause when judging the driver's distraction behavior.
KW - Driver‘s Behavior;Driver’s Distraction;Behavior Recognition;ResNet-101;CAM
DO - 10.9708/jksci.2021.26.11.173
ER -

Sangkon Han and Jung-in Choi. (2021). Study on driver's distraction research trend and deep learning based behavior recognition model. Journal of The Korea Society of Computer and Information, 26(11), 173-182.

Sangkon Han and Jung-in Choi. 2021, "Study on driver's distraction research trend and deep learning based behavior recognition model", Journal of The Korea Society of Computer and Information, vol.26, no.11 pp.173-182. Available from: doi:10.9708/jksci.2021.26.11.173

Sangkon Han, Jung-in Choi "Study on driver's distraction research trend and deep learning based behavior recognition model" Journal of The Korea Society of Computer and Information 26.11 pp.173-182 (2021) : 173.

Sangkon Han, Jung-in Choi. Study on driver's distraction research trend and deep learning based behavior recognition model. 2021; 26(11), 173-182. Available from: doi:10.9708/jksci.2021.26.11.173

Sangkon Han and Jung-in Choi. "Study on driver's distraction research trend and deep learning based behavior recognition model" Journal of The Korea Society of Computer and Information 26, no.11 (2021) : 173-182.doi: 10.9708/jksci.2021.26.11.173

Sangkon Han; Jung-in Choi. Study on driver's distraction research trend and deep learning based behavior recognition model. Journal of The Korea Society of Computer and Information, 26(11), 173-182. doi: 10.9708/jksci.2021.26.11.173

Sangkon Han; Jung-in Choi. Study on driver's distraction research trend and deep learning based behavior recognition model. Journal of The Korea Society of Computer and Information. 2021; 26(11) 173-182. doi: 10.9708/jksci.2021.26.11.173

Sangkon Han, Jung-in Choi. Study on driver's distraction research trend and deep learning based behavior recognition model. 2021; 26(11), 173-182. Available from: doi:10.9708/jksci.2021.26.11.173

Sangkon Han and Jung-in Choi. "Study on driver's distraction research trend and deep learning based behavior recognition model" Journal of The Korea Society of Computer and Information 26, no.11 (2021) : 173-182.doi: 10.9708/jksci.2021.26.11.173