[HTML][HTML] Stress detection in daily life scenarios using smart phones and wearable sensors: A survey
Stress has become a significant cause for many diseases in the modern society. Recently,
smartphones, smartwatches and smart wrist-bands have become an integral part of our lives …
smartphones, smartwatches and smart wrist-bands have become an integral part of our lives …
A review of psychophysiological measures to assess cognitive states in real-world driving
As driving functions become increasingly automated, motorists run the risk of becoming
cognitively removed from the driving process. Psychophysiological measures may provide …
cognitively removed from the driving process. Psychophysiological measures may provide …
A survey of healthcare Internet of Things (HIoT): A clinical perspective
In combination with current sociological trends, the maturing development of Internet of
Things devices is projected to revolutionize healthcare. A network of body-worn sensors …
Things devices is projected to revolutionize healthcare. A network of body-worn sensors …
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 …
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 …
A survey of machine learning techniques in physiology based mental stress detection systems
SS Panicker, P Gayathri - Biocybernetics and Biomedical Engineering, 2019 - Elsevier
Various automated/semi-automated medical diagnosis systems based on human physiology
have been gaining enormous popularity and importance in recent years. Physiological …
have been gaining enormous popularity and importance in recent years. Physiological …
Evaluation of an integrated system of wearable physiological sensors for stress monitoring in working environments by using biological markers
Objective: The objectives of this paper are to develop and test the ability of a wearable
physiological sensors system, based on ECG, EDA, and EEG, to capture human stress and …
physiological sensors system, based on ECG, EDA, and EEG, to capture human stress and …
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 …
Wearable device-based system to monitor a driver's stress, fatigue, and drowsiness
This paper proposes a wearable device-based system to monitor the abnormal conditions of
a driver, including stress, fatigue, and drowsiness. The system measures the motional and …
a driver, including stress, fatigue, and drowsiness. The system measures the motional and …
Sensor applications and physiological features in drivers' drowsiness detection: A review
A Chowdhury, R Shankaran, M Kavakli… - IEEE sensors …, 2018 - ieeexplore.ieee.org
Drowsiness in drivers has become a serious cause of concern due to the occurrences of a
large number of fatalities on the road each year. Lives of pedestrians and passengers are …
large number of fatalities on the road each year. Lives of pedestrians and passengers are …