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International Conference on Computer Vision and Image Processing

CVIP 2019: Computer Vision and Image Processing pp 180–189Cite as

Psychological Stress Detection Using Deep Convolutional Neural Networks

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1148))

Abstract

Many psychological motives and life incidences are answerable for inflicting psychological stress. It’s the primary reason for inflicting many cardiovascular diseases. This paper presents a study on psychological stress detection with the aid of processing the Electrocardiogram (ECG) recordings using Convolutional Neural Networks (CNN) as a classification approach. The main purpose of this study was to trace students under stress during their oral exam. A dataset of ECG recordings of 130 students was taken during the oral exam. A customized CNN is designed for stress recognition, and it has achieved 97.22% and 93.10% stress detection accuracy for filtered and noisy datasets, respectively.

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Author information

Authors and Affiliations

  1. Department of Instrumentation Engineering, SGGSIE&T, Nanded, 431606, Maharashtra, India

    Kaushik Sardeshpande & Vijaya R. Thool

Authors
  1. Kaushik Sardeshpande
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  2. Vijaya R. Thool
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Corresponding author

Correspondence to Kaushik Sardeshpande .

Editor information

Editors and Affiliations

  1. Malaviya National Institute of Technology, Jaipur, Rajasthan, India

    Neeta Nain

  2. Malaviya National Institute of Technology, Jaipur, Rajasthan, India

    Santosh Kumar Vipparthi

  3. Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Balasubramanian Raman

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Cite this paper

Sardeshpande, K., Thool, V.R. (2020). Psychological Stress Detection Using Deep Convolutional Neural Networks. In: Nain, N., Vipparthi, S., Raman, B. (eds) Computer Vision and Image Processing. CVIP 2019. Communications in Computer and Information Science, vol 1148. Springer, Singapore. https://doi.org/10.1007/978-981-15-4018-9_17

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  • DOI: https://doi.org/10.1007/978-981-15-4018-9_17

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-4017-2

  • Online ISBN: 978-981-15-4018-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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