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[HTML][HTML] Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations
Emotion recognition is the ability to precisely infer human emotions from numerous sources
and modalities using questionnaires, physical signals, and physiological signals. Recently …
and modalities using questionnaires, physical signals, and physiological signals. Recently …
Emotion contagion in agent-based simulations of crowds: a systematic review
Emotions are known to spread among people, a process known as emotion contagion. Both
positive and negative emotions are believed to be contagious, but the mass spread of …
positive and negative emotions are believed to be contagious, but the mass spread of …
In the hands of users with intellectual disabilities: co-designing tangible user interfaces for mental wellbeing
Involving and engaging people with intellectual disabilities on issues relating to their mental
wellbeing is essential if relevant tools and solutions are to be developed. This research …
wellbeing is essential if relevant tools and solutions are to be developed. This research …
Examining the Impact of Uncontrolled Variables on Physiological Signals in User Studies for Information Processing Activities
Physiological signals can potentially be applied as objective measures to understand the
behavior and engagement of users interacting with information access systems. However …
behavior and engagement of users interacting with information access systems. However …
ECG-Coupled Multimodal Approach for Stress Detection
M Libman, G Mohammadi - Proceedings of the 4th on Multimodal …, 2023 - dl.acm.org
Psychological stress undoubtedly impacts the lives of many people on a regular basis, and it
is, therefore, necessary to have systems capable of adequately identifying the level of stress …
is, therefore, necessary to have systems capable of adequately identifying the level of stress …
Sweating the Details: Emotion Recognition and the Influence of Physical Exertion in Virtual Reality Exergaming
There is great potential for adapting Virtual Reality (VR) exergames based on a user's
affective state. However, physical activity and VR interfere with physiological sensors …
affective state. However, physical activity and VR interfere with physiological sensors …
Investigation of different ML approaches in classification of emotions induced by acute stress
H Sourkatti, K Pettersson, B Van der Sanden… - Heliyon, 2024 - cell.com
Background Machine learning is becoming a common tool in monitoring emotion. However,
methodological studies of the processing pipeline are scarce, especially ones using …
methodological studies of the processing pipeline are scarce, especially ones using …
A wavelet-based approach for multimodal prediction of alexithymia from physiological signals
Alexithymia is a trait reflecting a person's difficulty in identifying and expressing their
emotions that has been linked to various forms of psychopathology. The identification of …
emotions that has been linked to various forms of psychopathology. The identification of …
Smartphone-based content annotation for ground truth collection in affective computing
This paper presents a real-time emotion-annotation tool using a personal mobile device. To
this end, an application based on the Valence-Arousal model was developed, following two …
this end, an application based on the Valence-Arousal model was developed, following two …
Correlation Between Heart Rate, Skin Temperature and Emotional State in Exergames
FT Bruns, F Wallhoff - Proceedings of Mensch und Computer 2022, 2022 - dl.acm.org
Computer games have become an established medium, exergames are a special type of
game. These are controlled by movement and are designed to improve its users …
game. These are controlled by movement and are designed to improve its users …