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 …
EEG-based emotion recognition approach for e-healthcare applications
M Ali, AH Mosa, F Al Machot… - … on ubiquitous and future …, 2016 - ieeexplore.ieee.org
Emotions play an extremely important role in how we make a decision, planning, reasoning
and other human mental states. The recognition of these emotions is becoming a vital task …
and other human mental states. The recognition of these emotions is becoming a vital task …
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 …
Relationship between driving styles and biological behavior of drivers in negative emotional state
Objective This paper explores the links between driving style and the biological behavior of
people while driving with dangerous negative emotions (such as anger, anxiety, and fear) …
people while driving with dangerous negative emotions (such as anger, anxiety, and fear) …
Speech emotion recognition: A review
A Thakur, S Dhull - International Conference on Advanced Communication …, 2019 - Springer
Research-oriented work in speech recognition has garnered a lot of interest since last two
decades. Emotions derived from speech have drawn considerable interest of researchers …
decades. Emotions derived from speech have drawn considerable interest of researchers …
Evaluation of fear using nonintrusive measurement of multimodal sensors
JS Choi, JW Bang, H Heo, KR Park - Sensors, 2015 - mdpi.com
Most previous research into emotion recognition used either a single modality or multiple
modalities of physiological signal. However, the former method allows for limited …
modalities of physiological signal. However, the former method allows for limited …
Affective communication through air jet stimulation: Evidence from event-related potentials
MY Tsalamlal, W Rizer, JC Martin… - International Journal of …, 2018 - Taylor & Francis
In this article, effectiveness of air jet stimulation in mediated emotional communication was
investigated by assessing cross-modal influences of visual emotional expressions on tactile …
investigated by assessing cross-modal influences of visual emotional expressions on tactile …
Advanced driver monitoring for assistance system (ADMAS) Based on emotions
The present study aimed to introduce an approach to implement facial analysis on
monitoring driver emotional status in real time. For this purpose, an experimental setup had …
monitoring driver emotional status in real time. For this purpose, an experimental setup had …
Artificial intelligence methods in in-cabin use cases: A survey
As interest in autonomous driving increases, efforts are being made to meet requirements for
the high-level automation of vehicles. In this context, the functionality inside the vehicle …
the high-level automation of vehicles. In this context, the functionality inside the vehicle …
Improving driving safety by detecting negative emotions with biological signals: Which is the best?
There is ample evidence confirming the adverse effects of negative emotions such as anger,
fear, and anxiety on drivers' performance. Also, effectiveness of biological signals in emotion …
fear, and anxiety on drivers' performance. Also, effectiveness of biological signals in emotion …