A Multimodal Perceived Stress Classification Framework Using Wearable Physiological Sensors

Mental stress is a common condition that poses serious health risks, but proper management can greatly improve quality of life. We propose a robust multimodal framework for perceived stress classification using data from forty subjects collected via three physiological modalities: electroencephalogr...

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Bibliografiske detaljer

Principais autores:	Muhammad Majid, Aamir Arsalan, Jaroslav Frnda, Syed Muhammad Anwar
Format:	Artigo
Sprog:	Inglês
Udgivet:	IEEE 2026-01-01
Serier:	IEEE Open Journal of the Computer Society
Fag:	Mental healthcare perceived stress detection multi-modal physiological signals wearable sensors classification
Online adgang:	https://ieeexplore.ieee.org/document/11313474/
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