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A Study on the Possibility of Measuring the Non-contact Galvanic Skin Response Based on Near-Infrared Imaging

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Intelligent Human Computer Interaction (IHCI 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12615))

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Abstract

Galvanic skin response (GSR) is the change in the electrical conduction of the skin caused by an emotional response to a stimulus. This bio-signal appears to be the action of the autonomic nervous system as a change in sweat gland activity and reflects the intensity of emotion. There have been various technologies for detecting autonomic nerve reactions to bio-signals in image processing; research on non-contact detection of these technologies has become a major issue. However, research on GSR for detecting signals in a non-contact method is lacking compared to other bio-signals. In this paper, we propose a non-contact GSR detection method from the human face region using a near-infrared camera. The proposed method used a 20-min visual stimulus video that caused tension or excitement among the participants and set up an isolated experimental environment to minimize emotion induction caused by external factors. Afterward, a GSR sensor was attached to the inside of the participant’s finger, and a visual stimulus video was shown. The participant’s face region was shot using a near-infrared camera, which also stored GSR sensor data and infrared face images that were input during the experiment. The face region was detected from the acquired face images, and the region of interest inside the face was compared with the data obtained through the GSR sensor. Finally, the correlation between the image intensities inside the designated region of interest and the data from the GSR sensor were analyzed.

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Acknowledgements

This work was supported by the NRF (National Research Foundation) of Korea and funded by the Korean government (Ministry of Science and ICT) (NRF-2019R1A2C4070681).

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Authors and Affiliations

  1. Department of Computer Science, Graduate School, Sangmyung University, Seoul, South Korea

    Geumbi Jo

  2. Department of AI & Informatics, Graduate School, Sangmyung University, Seoul, South Korea

    Seunggeon Lee

  3. Department of Human-Centered AI, Sangmyung University, Seoul, South Korea

    Eui Chul Lee

Authors
  1. Geumbi Jo
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  2. Seunggeon Lee
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  3. Eui Chul Lee
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Corresponding author

Correspondence to Eui Chul Lee .

Editor information

Editors and Affiliations

  1. Woosong University, Daejeon, Korea (Republic of)

    Madhusudan Singh

  2. Dongseo University, Busan, Korea (Republic of)

    Dae-Ki Kang

  3. Keimyung University, Daegu, Korea (Republic of)

    Jong-Ha Lee

  4. Indian Institute of Information Technoloy, Allahabad, India

    Uma Shanker Tiwary

  5. Hankuk University of Foreign Studies, Yongin, Korea (Republic of)

    Dhananjay Singh

  6. Pukyong National University, Busan, Korea (Republic of)

    Wan-Young Chung

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Jo, G., Lee, S., Lee, E.C. (2021). A Study on the Possibility of Measuring the Non-contact Galvanic Skin Response Based on Near-Infrared Imaging. In: Singh, M., Kang, DK., Lee, JH., Tiwary, U.S., Singh, D., Chung, WY. (eds) Intelligent Human Computer Interaction. IHCI 2020. Lecture Notes in Computer Science(), vol 12615. Springer, Cham. https://doi.org/10.1007/978-3-030-68449-5_12

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  • DOI: https://doi.org/10.1007/978-3-030-68449-5_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-68448-8

  • Online ISBN: 978-3-030-68449-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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