TY  - JOUR
N2  - There are many types of collision warning systems to increase the safety of motorcyclists. These systems use different types of collision detection techniques with each one having some limitations, restricting the performance of the system. To find the effectiveness of collision warning system notifications, it is important to study the physiological response of drivers toward these systems. Existing studies are limited to the physiological response of car drivers and use only buzzer warnings for these systems. Unfortunately, no such work in that particular domain has been reported for motorcyclists. Since motorcycles have different maneuverability as compared with cars and other vehicles, it is important to investigate the response of motorcyclists toward these collision warning systems. Also, it is believed that providing verbal information about any potential hazard will further assist the motorcyclist to avoid it. The aim of this paper is to investigate the physiological responses of motorcyclists to the rear end collision warning system when auditory verbal warnings are utilized. To study the response of the motorcyclists, the N100, N200, P300, and N400 event-related potential components have been extracted from the recorded Electroencephalography data. It has been found that the rear end collision warning system with auditory verbal warnings significantly increases the alertness of the motorcyclist and can be helpful to avoid the possible rear-end collision scenarios. This system has shown positive effects at neural levels on motorcyclists and reduces their reaction time and attentional resources required for processing the target correctly. © 2018 IEEE.
ID  - scholars10824
EP  - 31620
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049499573&doi=10.1109%2fACCESS.2018.2845899&partnerID=40&md5=5b149d717a5b067bb1a9ef449a508c06
SN  - 21693536
JF  - IEEE Access
N1  - cited By 8
TI  - Event-Related Potential Responses of Motorcyclists Towards Rear End Collision Warning System
VL  - 6
KW  - Electroencephalography; Electrophysiology; Maneuverability; Motorcycles; Physiological models
KW  -  Collision detection technique; Collision warning system; Event related potentials; Motorcycle accident; Motorcyclist safeties; Physiological response; Rear-end collision warnings; Rear-end collisions
KW  -  Alarm systems
A1  - Muzammel, M.
A1  - Yusoff, M.Z.
A1  - Meriaudeau, F.
PB  - Institute of Electrical and Electronics Engineers Inc.
SP  - 31609
AV  - none
Y1  - 2018///
ER  -