Non Contact Stress Assessment Based on Deep Tabular Method

Urmila, Avantika Singh

2025

Abstract

In today’s competitive world, stress is the major factor that influences human health negatively. In the long term, stress can lead to serious health problems such as diabetes, depression, anxiety, and various heart diseases. Thus, timely stress recognition is important for efficient stress management. Currently, for stress assessment various wearable devices are used to capture physiological signals. However, these devices although accurate are cost-sensitive and requires direct physical contact which may lead to discomfort in long run. In this work we have introduced a tabular based deep learning architecture for detecting stress by analyzing physiological features. The architecture extracts physiological features from remote photoplethysmography (rPPG) signals computed from facial videos. The proposed architecture is validated on publicly available UBFC-Phys dataset for two sets of experiments (i) Stress task classification and (ii) Multi-level stress classification. For both set of experiments the proposed methodology outperforms the current state-of-art method. The code is available at https://github.com/Heeya2205/Deep_tabular_methods.

Paper Citation

in Harvard Style

Urmila. and Singh A. (2025). Non Contact Stress Assessment Based on Deep Tabular Method. In Proceedings of the 14th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM; ISBN 978-989-758-730-6, SciTePress, pages 597-604. DOI: 10.5220/0013150300003905

in Bibtex Style

@conference{icpram25,
author={Urmila and Avantika Singh},
title={Non Contact Stress Assessment Based on Deep Tabular Method},
booktitle={Proceedings of the 14th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM},
year={2025},
pages={597-604},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013150300003905},
isbn={978-989-758-730-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM
TI - Non Contact Stress Assessment Based on Deep Tabular Method
SN - 978-989-758-730-6
AU - Urmila.
AU - Singh A.
PY - 2025
SP - 597
EP - 604
DO - 10.5220/0013150300003905
PB - SciTePress