Investigating the Generalizability of Emotion Detection via Wearable Physiological Sensors: EmoWear Usecase
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F26%3A0199902" target="_blank" >RIV/00216305:26220/26:0199902 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/icumt67815.2025.11268739" target="_blank" >http://dx.doi.org/10.1109/icumt67815.2025.11268739</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/icumt67815.2025.11268739" target="_blank" >10.1109/icumt67815.2025.11268739</a>
Alternative languages
Result language
angličtina
Original language name
Investigating the Generalizability of Emotion Detection via Wearable Physiological Sensors: EmoWear Usecase
Original language description
Emotion detection is increasingly recognized as a foundational component in the evolution of intelligent eHealth systems. This paper presents a personalized methodology for identifying relevant physiological sensors for emotion recognition, using the open-access EmoWear dataset as a case study. The proposed framework applies statistical feature extraction and correlation analysis to examine the relationship between biosignals and emotional states, specifically valence, arousal, and dominance. The findings indicate that no single sensor modality universally correlates with emotional states across individuals, reinforcing the need for personalized and multimodal approaches. Notably, Electrodermal Activity (EDA) activity showed a higher correlation with valence, whereas Skin Temperature (SKT) was more closely associated with arousal; however, inter-individual variability remained significant. Overall, the analysis highlights challenges for generalizability in affective computing and emphasizes the importance of context and individual differences in emotion expression.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20203 - Telecommunications
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2025 17th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)
ISBN
979-8-3315-7675-2
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
199-204
Publisher name
IEEE
Place of publication
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Event location
Florence, Italy
Event date
Nov 3, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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