Sensor technologies for intelligent transportation systems
J Guerrero-Ibáñez, S Zeadally, J Contreras-Castillo - Sensors, 2018 - mdpi.com
Modern society faces serious problems with transportation systems, including but not limited
to traffic congestion, safety, and pollution. Information communication technologies have …
to traffic congestion, safety, and pollution. Information communication technologies have …
The application of machine learning techniques for driving behavior analysis: A conceptual framework and a systematic literature review
ZE Abou Elassad, H Mousannif… - … Applications of Artificial …, 2020 - Elsevier
Driving Behavior (DB) is a complex concept describing how the driver operates the vehicle
in the context of the driving scene and surrounding environment. Recently, DB assessment …
in the context of the driving scene and surrounding environment. Recently, DB assessment …
Driver stress detection via multimodal fusion using attention-based CNN-LSTM
Stress has been identified as one of major contributing factors in car crashes due to its
negative impact on driving performance. It is in urgent need that the stress levels of drivers …
negative impact on driving performance. It is in urgent need that the stress levels of drivers …
Automatic driver stress level classification using multimodal deep learning
Stress has been identified as one of the contributing factors to vehicle crashes which create
a significant cost in terms of loss of life and productivity for governments and societies …
a significant cost in terms of loss of life and productivity for governments and societies …
[HTML][HTML] Automatic driver distraction detection using deep convolutional neural networks
Recently, the number of road accidents has been increased worldwide due to the distraction
of the drivers. This rapid road crush often leads to injuries, loss of properties, even deaths of …
of the drivers. This rapid road crush often leads to injuries, loss of properties, even deaths of …
Into the wild: the challenges of physiological stress detection in laboratory and ambulatory settings
E Smets, W De Raedt… - IEEE journal of biomedical …, 2018 - ieeexplore.ieee.org
Stress and mental health have become major concerns worldwide. Research has already
extensively investigated physiological signals as quantitative and continuous markers of …
extensively investigated physiological signals as quantitative and continuous markers of …
[HTML][HTML] Evaluating the impact of viewing location on view perception using a virtual environment
Window views are an important design feature in buildings. Views can impact the cognitive
attention, psychological and physiological well-being of building occupants due to their …
attention, psychological and physiological well-being of building occupants due to their …
A critical review of proactive detection of driver stress levels based on multimodal measurements
Stress is a major concern in daily life, as it imposes significant and growing health and
economic costs on society every year. Stress and driving are a dangerous combination and …
economic costs on society every year. Stress and driving are a dangerous combination and …
Acute stress state classification based on electrodermal activity modeling
Acute stress is a physiological condition that may induce several neural dysfunctions with a
significant impact on life quality. Accordingly, it would be important to monitor stress in …
significant impact on life quality. Accordingly, it would be important to monitor stress in …
Arousal and valence recognition of affective sounds based on electrodermal activity
Physiological sensors and interfaces for mental healthcare are becoming of great interest in
research and commercial fields. Specifically, biomedical sensors and related ad hoc signal …
research and commercial fields. Specifically, biomedical sensors and related ad hoc signal …