A Systematic Literature Review on Affective Computing Techniques for Workplace Stress Detection - Challenges, Future Directions, from Data Collection to Stress Detection
Authors
Abir Gorrab
Nourhène Ben Rabah (ORCID: https://orcid.org/0000-0002-3051-7241)
Marc Denecker (ORCID: https://orcid.org/0000-0002-0422-7339)
Iris Mezieres
Bénédicte Le Grand
Institutions
Centre de Recherche en Informatique (FR)
Université Paris 1 Panthéon-Sorbonne (FR)
Manouba University (TN)
Publication Details
Journal
SPIRE - Sciences Po Institutional REpository
Published
2024-09-09
Primary Topic
Emotion and Mood Recognition
Type
article
Field-Weighted Citation Impact
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article
A Systematic Literature Review on Affective Computing Techniques for Workplace Stress Detection - Challenges, Future Directions, from Data Collection to Stress Detection
Abir Gorrab, Nourhène Ben Rabah, Marc Denecker, Iris Mezieres et al.
Journal
SPIRE - Sciences Po Institutional REpository
Topics
Emotion and Mood Recognition
article
A Systematic Literature Review on Affective Computing Techniques for Workplace Stress Detection - Challenges, Future Directions, from Data Collection to Stress Detection
Abir Gorrab, Nourhène Ben Rabah, Marc Denecker, Iris Mezieres, Bénédicte Le Grand
article en
Abstract
No abstract available for this paper.
Publication Tag
SPIRE - Sciences Po Institutional REpository
Institutions
Centre de Recherche en Informatique (FR), Université Paris 1 Panthéon-Sorbonne (FR), Manouba University (TN)
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A Systematic Literature Review on Affective Computing Techniques for Workplace Stress Detection - Challenges, Future Directions, from Data Collection to Stress Detection — Abir Gorrab, Nourhène Ben Rabah, et al. · SPIRE - Sciences Po Institutional REpository (2024) | TGRS Research Map | TGRS