[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 …
Approaches, applications, and challenges in physiological emotion recognition—a tutorial overview
An automatic emotion recognition system can serve as a fundamental framework for various
applications in daily life from monitoring emotional well-being to improving the quality of life …
applications in daily life from monitoring emotional well-being to improving the quality of life …
[HTML][HTML] Bosses without a heart: socio-demographic and cross-cultural determinants of attitude toward Emotional AI in the workplace
Biometric technologies are becoming more pervasive in the workplace, augmenting
managerial processes such as hiring, monitoring and terminating employees. Until recently …
managerial processes such as hiring, monitoring and terminating employees. Until recently …
[HTML][HTML] FLIRT: A feature generation toolkit for wearable data
Abstract Background and Objective: Researchers use wearable sensing data and machine
learning (ML) models to predict various health and behavioral outcomes. However, sensor …
learning (ML) models to predict various health and behavioral outcomes. However, sensor …
Can workers meaningfully consent to workplace wellbeing technologies?
S Chowdhary, A Kawakami, ML Gray, J Suh… - Proceedings of the …, 2023 - dl.acm.org
Sensing technologies deployed in the workplace can unobtrusively collect detailed data
about individual activities and group interactions that are otherwise difficult to capture. A …
about individual activities and group interactions that are otherwise difficult to capture. A …
[HTML][HTML] Assessment of the human response to acute mental stress–An overview and a multimodal study
Numerous vital signs are reported in association with stress response assessment, but their
application varies widely. This work provides an overview over methods for stress induction …
application varies widely. This work provides an overview over methods for stress induction …
An overview of emotion in artificial intelligence
G Assunção, B Patrão… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The field of artificial intelligence (AI) has gained immense traction over the past decade,
producing increasingly successful applications as research strives to understand and exploit …
producing increasingly successful applications as research strives to understand and exploit …
[HTML][HTML] Exploring unsupervised machine learning classification methods for physiological stress detection
Over the past decade, there has been a significant development in wearable health
technologies for diagnosis and monitoring, including application to stress monitoring. Most …
technologies for diagnosis and monitoring, including application to stress monitoring. Most …
A multi-modal driver emotion dataset and study: Including facial expressions and synchronized physiological signals
G Xiang, S Yao, H Deng, X Wu, X Wang, Q Xu… - … Applications of Artificial …, 2024 - Elsevier
To address the limitations of databases in the field of emotion recognition and to cater to the
trend of integrating data from multiple sources, we have established a multi-modal emotional …
trend of integrating data from multiple sources, we have established a multi-modal emotional …
Rcea-360vr: Real-time, continuous emotion annotation in 360 vr videos for collecting precise viewport-dependent ground truth labels
Precise emotion ground truth labels for 360° virtual reality (VR) video watching are essential
for fine-grained predictions under varying viewing behavior. However, current annotation …
for fine-grained predictions under varying viewing behavior. However, current annotation …