@inproceedings{25f11ebdb07e4dc5a75d51ae1323a611,
title = "Implementation of a Non-Contact Driver Monitoring System with Enhanced Object Detection and Pose Estimation",
abstract = "To enhance driving safety, in this work, an effective driver monitoring system (DMS) is developed by YOLOv7-tiny for object detection and by Dlib keypoints for head pose estimation. The proposed design is implemented on Nvidia Jetson Xavier device, and the system demonstrates the high precision and recall, and then it achieves a mean average precision of 98.2%. The experimental results highlight the performance of the proposed non-contact DMS design for improving driver's attentiveness and reducing accidents.",
keywords = "deep learning, DMS, embedded system, head pose, YOLO",
author = "Lin, {Hsuan Yu} and Yang, {Yu Cheng} and Zhao, {Xi Liang} and Guo, {Jiun In} and Hwang, {Yin Tsung} and Fan, {Chih Peng}",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 13th IEEE Global Conference on Consumer Electronic, GCCE 2024 ; Conference date: 29-10-2024 Through 01-11-2024",
year = "2024",
doi = "10.1109/GCCE62371.2024.10761006",
language = "English",
series = "GCCE 2024 - 2024 IEEE 13th Global Conference on Consumer Electronics",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "682--683",
booktitle = "GCCE 2024 - 2024 IEEE 13th Global Conference on Consumer Electronics",
address = "美國",
}