Embedded EDA Recognition Technology Based on STM32 Microcontroller

Huajuan Qi, Wenqing Xu, Xinwei Yang

2025

Abstract

In this paper, the embedded EDA recognition technology is implemented based on the STM32 microcontroller, which can collect the skin conductance signal in real time, and perform preprocessing of the signal based on the signal processing and feature extraction module. In the process of research, the system architecture is carried out, then the modeling work is carried out, and further training and optimization are made, and then the system is integrated and applied to the actual case. The experimental data shows that the accuracy of the system is 92%, and the average delay is less than 30 milliseconds, which indicates that the system has high real-time and accuracy. It is concluded that the embedded EDA recognition technology based on STM32 can achieve efficient and accurate emotional state recognition in resource-constrained environments, and further provide a powerful boost for portable health monitoring devices.

Paper Citation

in Harvard Style

Qi H., Xu W. and Yang X. (2025). Embedded EDA Recognition Technology Based on STM32 Microcontroller. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 32-38. DOI: 10.5220/0013534900004664

in Bibtex Style

@conference{incoft25,
author={Huajuan Qi and Wenqing Xu and Xinwei Yang},
title={Embedded EDA Recognition Technology Based on STM32 Microcontroller},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT},
year={2025},
pages={32-38},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013534900004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT
TI - Embedded EDA Recognition Technology Based on STM32 Microcontroller
SN - 978-989-758-763-4
AU - Qi H.
AU - Xu W.
AU - Yang X.
PY - 2025
SP - 32
EP - 38
DO - 10.5220/0013534900004664
PB - SciTePress