학술논문

Detecting Cognitive Driving without Physiological Sensors: Do Vehicular Parameters Help?
Document Type
Conference
Source
2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), 2024 IEEE International Conference on. :481-486 Mar, 2024
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
General Topics for Engineers
Robotics and Control Systems
Signal Processing and Analysis
Pervasive computing
Measurement
Conferences
Cognitive load
Sensors
Safety
Task analysis
Driver behavior
cognitive load
deep learning
Language
ISSN
2766-8576
Abstract
Driver safety and efficiency remain paramount concerns in the age of vehicular advancements. This paper delves into a preliminary examination and analysis of driver behaviour changes inferred via vehicular parameters under the influence of cognitive load imparted via a secondary task while performing the primary task of driving. This study uses a publicly available dataset, to establish the relationship of the effects of cognitive load from the observed vehicular parameters. The proposed model is able to distinguish a relaxed driving session from the other driving sessions with an accuracy of approximately 80%.