Automatic engagement estimation in smart education/learning settings: a systematic review of engagement definitions, datasets, and methods

SN Karimah, S Hasegawa - Smart Learning Environments, 2022 - Springer
Background Recognizing learners' engagement during learning processes is important for
providing personalized pedagogical support and preventing dropouts. As learning …

In search of a robust facial expressions recognition model: A large-scale visual cross-corpus study

E Ryumina, D Dresvyanskiy, A Karpov - Neurocomputing, 2022 - Elsevier
Many researchers have been seeking robust emotion recognition system for already last two
decades. It would advance computer systems to a new level of interaction, providing much …

Driver stress detection via multimodal fusion using attention-based CNN-LSTM

L Mou, C Zhou, P Zhao, B Nakisa, MN Rastgoo… - Expert Systems with …, 2021 - Elsevier
Stress has been identified as one of major contributing factors in car crashes due to its
negative impact on driving performance. It is in urgent need that the stress levels of drivers …

Calibration of transformer-based models for identifying stress and depression in social media

L Ilias, S Mouzakitis, D Askounis - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In today's fast-paced world, the rates of stress and depression present a surge. People use
social media for expressing their thoughts and feelings through posts. Therefore, social …

Dreaddit: A reddit dataset for stress analysis in social media

E Turcan, K McKeown - arxiv preprint arxiv:1911.00133, 2019 - arxiv.org
Stress is a nigh-universal human experience, particularly in the online world. While stress
can be a motivator, too much stress is associated with many negative health outcomes …

[HTML][HTML] A text classification approach to detect psychological stress combining a lexicon-based feature framework with distributional representations

S Muñoz, CA Iglesias - Information Processing & Management, 2022 - Elsevier
Nowadays, stress has become a growing problem for society due to its high impact on
individuals but also on health care systems and companies. In order to overcome this …

Real-time mental stress detection using multimodality expressions with a deep learning framework

J Zhang, H Yin, J Zhang, G Yang, J Qin… - Frontiers in …, 2022 - frontiersin.org
Mental stress is becoming increasingly widespread and gradually severe in modern society,
threatening people's physical and mental health. To avoid the adverse effects of stress on …

Extraction and interpretation of deep autoencoder-based temporal features from wearables for forecasting personalized mood, health, and stress

B Li, A Sano - Proceedings of the ACM on Interactive, Mobile …, 2020 - dl.acm.org
Continuous wearable sensor data in high resolution contain physiological and behavioral
information that can be utilized to predict human health and wellbeing, establishing the …

Emotion-infused models for explainable psychological stress detection

E Turcan, S Muresan, K McKeown - … of the 2021 conference of the …, 2021 - aclanthology.org
The problem of detecting psychological stress in online posts, and more broadly, of
detecting people in distress or in need of help, is a sensitive application for which the ability …

[PDF][PDF] Attention-Based Bi-LSTM Model for Arabic Depression Classification.

AM Almars - Computers, Materials & Continua, 2022 - academia.edu
Depression is a common mental health issue that affects a large percentage of people all
around the world. Usually, people who suffer from this mood disorder have issues such as …