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Acknowledgment: Funded by the European Union (AI4HOPE, 101136769). Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the Health and Digital Executive Agency. Neither the European Union nor the granting authority can be held responsible for them.
This work was funded by UK Research and Innovation (UKRI) under the UK government’s Horizon Europe funding guarantee [Grant No. 101136769].
© 2026 by AI4HOPE Consortium
“Wearable-Based Emotion Recognition Using Electrocardiogram and Galvanic Skin Response and Instrumentation Audit: A Systematic Review”
New AI4HOPE Publication on Wearable-Based Emotion Recognition

A new scientific publication from the AI4HOPE project has been published in IEEE Transactions on Instrumentation and Measurement. The systematic review, “Wearable-Based Emotion Recognition Using Electrocardiogram and Galvanic Skin Response and Instrumentation Audit: A Systematic Review,” was authored by the team of University of Turku: Ayse Kosal Bulbul, Muhammed Irfan, Maria K. Jaakkola, Abdulhamit Subasi, and Riku Klén.
The article reviews research on wearable-based emotion recognition using electrocardiogram (ECG) and galvanic skin response (GSR) signals and includes an audit of the instrumentation used in the reviewed studies.
Read the publication: https://ieeexplore.ieee.org/abstract/document/11553417








