Emotion recognition for everyday life using physiological signals from wearables: A systematic literature review
Smart wearables, equipped with sensors monitoring physiological parameters, are
becoming an integral part of our life. In this work, we investigate the possibility of utilizing …
becoming an integral part of our life. In this work, we investigate the possibility of utilizing …
Virtual reality for emotion elicitation–a review
R Somarathna, T Bednarz… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Emotions are multifaceted phenomena that affect our behaviour, perception, and cognition.
Increasing evidence indicates that induction mechanisms play a crucial role in triggering …
Increasing evidence indicates that induction mechanisms play a crucial role in triggering …
Affective image content analysis: Two decades review and new perspectives
Images can convey rich semantics and induce various emotions in viewers. Recently, with
the rapid advancement of emotional intelligence and the explosive growth of visual data …
the rapid advancement of emotional intelligence and the explosive growth of visual data …
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 …
A survey on databases for multimodal emotion recognition and an introduction to the VIRI (visible and InfraRed image) database
Multimodal human–computer interaction (HCI) systems pledge a more human–human-like
interaction between machines and humans. Their prowess in emanating an unambiguous …
interaction between machines and humans. Their prowess in emanating an unambiguous …
A bayesian deep learning framework for end-to-end prediction of emotion from heartbeat
R Harper, J Southern - IEEE transactions on affective …, 2020 - ieeexplore.ieee.org
Automatic prediction of emotion promises to revolutionise human-computer interaction.
Recent trends involve fusion of multiple data modalities audio, visual, and physiological to …
Recent trends involve fusion of multiple data modalities audio, visual, and physiological to …
Hierarchical extreme puzzle learning machine-based emotion recognition using multimodal physiological signals
A Pradhan, S Srivastava - Biomedical Signal Processing and Control, 2023 - Elsevier
Detection of exact emotions through multi-modal physiological signals provides relevant
information for different processes. Numerous computational approaches have been …
information for different processes. Numerous computational approaches have been …
A multimodal facial emotion recognition framework through the fusion of speech with visible and infrared images
MFH Siddiqui, AY Javaid - Multimodal Technologies and Interaction, 2020 - mdpi.com
The exigency of emotion recognition is pushing the envelope for meticulous strategies of
discerning actual emotions through the use of superior multimodal techniques. This work …
discerning actual emotions through the use of superior multimodal techniques. This work …
Personalized Deep Bi-LSTM RNN based model for pain intensity classification using EDA signal
Automatic pain intensity assessment from physiological signals has become an appealing
approach, but it remains a largely unexplored research topic. Most studies have used …
approach, but it remains a largely unexplored research topic. Most studies have used …
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 …