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ConvSNN: an energy-efficient hybrid convolutional-spiking neural network for wrist-worn stress and affective state recognition

Published Online: 2026-09-06

Authors

Sajid, Muhammad Zaheer https://orcid.org/0009-0005-5794-7902
Aburaed, Nour

Maskeliūnas, Rytis
License Information

Text and Data Mining valid from 2026-09-06

Accepted Manuscript valid from 2026-09-06
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Article History

Received: 14 June 2026

Accepted: 27 August 2026

First Online: 6 September 2026

Declarations

Competing interests: The authors declare no competing interests.

Ethics approval: Not applicable. The WESAD dataset used in this study is publicly available and was collected by its original providers under their respective ethics approvals.

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