Physiological-based driver monitoring systems: A scoping review

SFA Razak, S Yogarayan, AA Aziz… - Civil Engineering …, 2022 - civilejournal.org
A physiological-based driver monitoring system (DMS) has attracted research interest and
has great potential for providing more accurate and reliable monitoring of the driver's state …

Driver state monitoring technology for conditionally automated vehicles: Review and future prospects

Y Qu, H Hu, J Liu, Z Zhang, Y Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Conditionally automated vehicles can be operated on most regular roads without driver's
supervision. They show excellent potential for market adoption and are now being targeted …

Driver identification methods in electric vehicles, a review

D Zhao, J Hou, Y Zhong, W He, Z Fu… - World Electric Vehicle …, 2022 - mdpi.com
Driver identification is very important to realizing customized service for drivers and road
traffic safety for electric vehicles and has become a research hotspot in the field of modern …

A driver authentication system integrated to stress-level determination for driving safety

I Isikli Esener - Soft Computing, 2023 - Springer
This paper analyzes the effects of electrocardiogram, electromyogram, respiration, hand and
foot galvanic skin response signals on biometric identification using the features extracted …

Multi-stream conformer-based user identification system using 2D CQT spectrogram tailored to multiple biosignals

JM Kim, JS Kim, CH Song, S Pan - IEEE Access, 2024 - ieeexplore.ieee.org
Recent studies actively researching user identification utilizing physiological information to
verify identity. However, there is a problem with biometric information exposed to the outside …

A Q-transform-based deep learning model for the classification of atrial fibrillation types

B Dhananjay, RP Kumar, BC Neelapu, K Pal… - … Engineering Sciences in …, 2024 - Springer
Abstract According to the World Health Organization (WHO), Atrial Fibrillation (AF) is
emerging as a global epidemic, which has resulted in a need for techniques to accurately …

[HTML][HTML] Validation of a smartphone telematics algorithm for classifying driver trips

JP Ebert, RA Xiong, A Patel, D Abdel-Rahman… - Transportation Research …, 2024 - Elsevier
This study assessed the accuracy of a smartphone telematics algorithm that classifies car
trips as driver or non-driver. Participants' trips were measured for 4 weeks by Way to Drive, a …

BMPA-DSL: Binary Marine Predators Algorithm to Identify Driver's Different Levels of Stress

M Vaezi, M Nasri, F Azimifar… - 2023 14th International …, 2023 - ieeexplore.ieee.org
In smart cars, checking driver's conditions is necessary for safe driving. Stress is a
destructive emotional state that causes drivers not to make timely decisions and brings …

An Efficient Deep Learning Model Based on Driver Behaviour Detection Within CAN-BUS Signals.

HM Gheni, LA Abdul-Rahaim - Revue d'Intelligence …, 2024 - search.ebscohost.com
Abstract Intelligent Transportation Systems (ITS) have extensively utilized driver behavior
monitoring systems to mitigate the risk of traffic accidents caused by factors such as …

[PDF][PDF] 다중생체신호의2D 스펙트로그램을이용한멀티스트림CNN 기반사용자식별시스템

김재명, 김진수, 반성범 - 한국정보기술학회논문지, 2023 - ki-it.com
요 약최근 IoT 기술이 자동차에 접목되어 스마트 카로 발전됨에 따라 스마트 카에 개인 정보가
저장되고 있다. 그러나 기존의 키를 이용한 차량 보안 방법은 분실 및 도난당하거나 복제될 수 …