Driver emotion recognition for intelligent vehicles: A survey
Driving can occupy a large portion of daily life and often can elicit negative emotional states
like anger or stress, which can significantly impact road safety and long-term human health …
like anger or stress, which can significantly impact road safety and long-term human health …
A deep-learning model for subject-independent human emotion recognition using electrodermal activity sensors
F Al Machot, A Elmachot, M Ali, E Al Machot… - Sensors, 2019 - mdpi.com
One of the main objectives of Active and Assisted Living (AAL) environments is to ensure
that elderly and/or disabled people perform/live well in their immediate environments; this …
that elderly and/or disabled people perform/live well in their immediate environments; this …
Automated detection of mental disorders using physiological signals and machine learning: A systematic review and scientometric analysis
Anomalies in mood, thinking, work, bodily functions, emotions, social interactions, and
general behavior are frequently related to mental disorders. A strong correlation has been …
general behavior are frequently related to mental disorders. A strong correlation has been …
Fine-grained interpretability for EEG emotion recognition: Concat-aided grad-CAM and systematic brain functional network
EEG emotion recognition plays a significant role in various mental health services. Deep
learning-based methods perform excellently, but still suffer from interpretability. Although …
learning-based methods perform excellently, but still suffer from interpretability. Although …
Drer: Deep learning–based driver's real emotion recognizer
In intelligent vehicles, it is essential to monitor the driver's condition; however, recognizing
the driver's emotional state is one of the most challenging and important tasks. Most …
the driver's emotional state is one of the most challenging and important tasks. Most …
Identifying traffic context using driving stress: A longitudinal preliminary case study
Many previous studies have identified that physiological responses of a driver are
significantly associated with driving stress. However, research is limited to identifying the …
significantly associated with driving stress. However, research is limited to identifying the …
A wavelet-based approach to emotion classification using EDA signals
Emotion is an intense mental experience often manifested by rapid heartbeat, breathing,
sweating, and facial expressions. Emotion recognition from these physiological signals is a …
sweating, and facial expressions. Emotion recognition from these physiological signals is a …
Recognition of emotion intensities using machine learning algorithms: A comparative study
Over the past two decades, automatic facial emotion recognition has received enormous
attention. This is due to the increase in the need for behavioral biometric systems and …
attention. This is due to the increase in the need for behavioral biometric systems and …
A hybrid model for driver emotion detection using feature fusion approach
Machine and deep learning techniques are two branches of artificial intelligence that have
proven very efficient in solving advanced human problems. The automotive industry is …
proven very efficient in solving advanced human problems. The automotive industry is …
Development of an EEG headband for stress measurement on driving simulators
A Affanni, T Aminosharieh Najafi, S Guerci - Sensors, 2022 - mdpi.com
In this paper, we designed from scratch, realized, and characterized a six-channel EEG
wearable headband for the measurement of stress-related brain activity during driving. The …
wearable headband for the measurement of stress-related brain activity during driving. The …