Hur, B., & Conway, R., & Gonzalez, A., & Rodriguez, A., & Bunyavong, J. (2022, August), Educational driving simulator to monitor driver’s eye movement and hear rate via a capstone project in Engineering Technology  Paper presented at 2022 ASEE Annual Conference & Exposition, Minneapolis, MN. 10.18260/1-2--41689

\bibitem{asee_peer_41689}
  Hur, B., \& Conway, R., \& Gonzalez, A., \& Rodriguez, A., \& Bunyavong, J. (2022, August), \emph{Educational driving simulator to monitor driver’s eye movement and hear rate via a capstone project in Engineering Technology}
  Paper presented at 2022 ASEE Annual Conference \& Exposition, Minneapolis, MN.
  10.18260/1-2--41689

Byul Hur, Ryan Conway, Aaron Gonzalez, Alberto Rodriguez, and Jacqueline Bunyavong.  "Educational driving simulator to monitor driver’s eye movement and hear rate via a capstone project in Engineering Technology".  2022 ASEE Annual Conference & Exposition, Minneapolis, MN, 2022, August.  ASEE Conferences, 2022.  https://peer.asee.org/41689 Internet.  23 Feb, 2025

\bibitem{asee_peer_41689}
  Byul Hur, Ryan Conway, Aaron Gonzalez, Alberto Rodriguez, and Jacqueline Bunyavong.
  "Educational driving simulator to monitor driver’s eye movement and hear rate via a capstone project in Engineering Technology".
  \emph{2022 ASEE Annual Conference \& Exposition, Minneapolis, MN, 2022, August}.
  ASEE Conferences, 2022.
  https://peer.asee.org/41689 Internet.  23 Feb, 2025

@INPROCEEDINGS{asee_peer_41689
author = "Byul Hur, Ryan Conway, Aaron Gonzalez, Alberto Rodriguez, and Jacqueline Bunyavong"
title = "Educational driving simulator to monitor driver’s eye movement and hear rate via a capstone project in Engineering Technology"
booktitle = "2022 ASEE Annual Conference \& Exposition"
year = "2022"
month = "August"
address = "Minneapolis, MN"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/41689}
number = {10.18260/1-2--41689}
}

TY  - CPAPER
AB  - The National Highway Transportation Safety Administration (NHTSA) recognizes that more than 90% of vehicle accidents might have been caused by human factors. In this aspect, autonomous driving, in some cases, could save lives. For the safety and functionality of autonomous driving, there have been active R&D (Research and Development) projects in academia and industry. To target autonomous car research, a capstone project with four undergraduate engineering students at Texas A&M University was created in Fall 2020. By the motivation of creating a capstone project that is related to the development of an educational autonomous car simulator. As a phase 1, four Engineering Technology (ET) students have formed a team in Fall 2020 and one ET faculty member advised this team, they concluded their work in Spring 2021. The task for this capstone project was to develop a driving simulator that can investigate how an autonomous driving experience might affect the passengers of a vehicle. This measured data can be used to understand how autonomous driving affects the passenger of the vehicle through this autonomous car simulation system. For the software side, the main components consist of the car simulation, eye tracker software, and sensor data processing. The car simulation software was created using Unity 3D platform. The car simulation receives the control data from the steering wheel and pedals. The results of the heart rate and eye tracking are stored, and they can be retrieved after the simulation is completed. In this paper, the details of the integration of the driver simulator hardware and software as well as the educational values via this capstone experience will be presented.
AU  - Byul Hur
AU  - Ryan Conway
AU  - Aaron Gonzalez
AU  - Alberto Rodriguez
AU  - Jacqueline Bunyavong
CY  - Minneapolis, MN
DA  - 2022/08/23
PB  - ASEE Conferences
TI  - Educational driving simulator to monitor driver’s eye movement and hear rate via a capstone project in Engineering Technology
UR  - https://peer.asee.org/41689
DO  - 10.18260/1-2--41689
ER  -