[HTML][HTML] Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations

SK Khare, V Blanes-Vidal, ES Nadimi, UR Acharya - Information fusion, 2024 - Elsevier
Emotion recognition is the ability to precisely infer human emotions from numerous sources
and modalities using questionnaires, physical signals, and physiological signals. Recently …

Review of eye tracking metrics involved in emotional and cognitive processes

V Skaramagkas, G Giannakakis… - IEEE Reviews in …, 2021 - ieeexplore.ieee.org
Eye behaviour provides valuable information revealing one's higher cognitive functions and
state of affect. Although eye tracking is gaining ground in the research community, it is not …

CEAP-360VR: A Continuous Physiological and Behavioral Emotion Annotation Dataset for 360 VR Videos

T Xue, A El Ali, T Zhang, G Ding… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Watching 360 videos using Virtual Reality (VR) head-mounted displays (HMDs) provides
interactive and immersive experiences, where videos can evoke different emotions. Existing …

A review of AI cloud and edge sensors, methods, and applications for the recognition of emotional, affective and physiological states

A Kaklauskas, A Abraham, I Ubarte, R Kliukas… - Sensors, 2022 - mdpi.com
Affective, emotional, and physiological states (AFFECT) detection and recognition by
capturing human signals is a fast-growing area, which has been applied across numerous …

[HTML][HTML] COLET: A dataset for COgnitive workLoad estimation based on eye-tracking

E Ktistakis, V Skaramagkas, D Manousos… - Computer Methods and …, 2022 - Elsevier
Abstract Background and Objective: The cognitive workload is an important component in
performance psychology, ergonomics, and human factors. Publicly available datasets are …

Machine learning for human emotion recognition: a comprehensive review

EMG Younis, S Mohsen, EH Houssein… - Neural Computing and …, 2024 - Springer
Emotion is an interdisciplinary research field investigated by many research areas such as
psychology, philosophy, computing, and others. Emotions influence how we make …

eSEE-d: Emotional state estimation based on eye-tracking dataset

V Skaramagkas, E Ktistakis, D Manousos, E Kazantzaki… - Brain Sciences, 2023 - mdpi.com
Affective state estimation is a research field that has gained increased attention from the
research community in the last decade. Two of the main catalysts for this are the …

Utilizing cognitive signals generated during human reading to enhance keyphrase extraction from microblogs

X Yan, Y Zhang, C Zhang - Information Processing & Management, 2024 - Elsevier
Microblogging platforms have seen exponential growth, leading to an abundance of user-
generated content. The challenge now is to efficiently extract crucial information from this …

Do smart glasses dream of sentimental visions? Deep emotionship analysis for eyewear devices

Y Zhao, Y Chang, Y Lu, Y Wang, M Dong, Q Lv… - Proceedings of the …, 2022 - dl.acm.org
Emotion recognition in smart eyewear devices is valuable but challenging. One key
limitation of previous works is that the expression-related information like facial or eye …

An emotion recognition method based on eye movement and audiovisual features in MOOC learning environment

J Bao, X Tao, Y Zhou - IEEE Transactions on Computational …, 2022 - ieeexplore.ieee.org
In recent years, more and more people have begun to use massive online open course
(MOOC) platforms for distance learning. However, due to the space–time isolation between …