TY - GEN
T1 - Sleepiness Detection for Cooperative Vehicle Navigation Strategies
AU - Vasconez, Juan Pablo
AU - Cheein, Fernando Auat
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/6/22
Y1 - 2018/6/22
N2 - Human-robot interaction (HRI) techniques has become important in the resolution of problems that can not be automated completely. Moreover, the design of strategies based on such interactions can help to compensate the agents respective limitations. This work aims the development of a HRI system, which is based on driver sleepiness to improve safety in a Renault Twizy vehicle. For this purpose, eye behavior measurements are extracted using a properly machine learning algorithm that can operate under varying illumination levels. Perclos and blink frequency measures are considered to estimate diver sleepiness, and based in such parameters, the vehicle speed is limited, which may help decrease accidents rate. The presented architecture can improve the security conditions of navigation for both users and pedestrians. The results show that it is possible to implement HRI strategies based on cognitive factors in urban areas to prevent fatal accidents.
AB - Human-robot interaction (HRI) techniques has become important in the resolution of problems that can not be automated completely. Moreover, the design of strategies based on such interactions can help to compensate the agents respective limitations. This work aims the development of a HRI system, which is based on driver sleepiness to improve safety in a Renault Twizy vehicle. For this purpose, eye behavior measurements are extracted using a properly machine learning algorithm that can operate under varying illumination levels. Perclos and blink frequency measures are considered to estimate diver sleepiness, and based in such parameters, the vehicle speed is limited, which may help decrease accidents rate. The presented architecture can improve the security conditions of navigation for both users and pedestrians. The results show that it is possible to implement HRI strategies based on cognitive factors in urban areas to prevent fatal accidents.
UR - http://www.scopus.com/inward/record.url?scp=85050227599&partnerID=8YFLogxK
U2 - 10.1109/CoDIT.2018.8394931
DO - 10.1109/CoDIT.2018.8394931
M3 - Conference contribution
AN - SCOPUS:85050227599
T3 - 2018 5th International Conference on Control, Decision and Information Technologies, CoDIT 2018
SP - 940
EP - 945
BT - 2018 5th International Conference on Control, Decision and Information Technologies, CoDIT 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th International Conference on Control, Decision and Information Technologies, CoDIT 2018
Y2 - 10 April 2018 through 13 April 2018
ER -