Verification of using radar vital sign monitors in deception tests (2023)

Research Article
Open access

Verification of using radar vital sign monitors in deception tests (2023)

Peijie Liu 1*
  • 1 Jinling High School International Department, Nanjing,210005, China    
  • *corresponding author liupeijie0716@126.com
Published on 4 February 2024 | https://doi.org/10.54254/2755-2721/34/20230311
ACE Vol.34
ISSN (Print): 2755-273X
ISSN (Online): 2755-2721
ISBN (Print): 978-1-83558-293-0
ISBN (Online): 978-1-83558-294-7

Abstract

This study examines the validity and accuracy of a typical radar-based vital signal monitoring system during spoken responses, a common and necessary scenario in deception tests. Traditional deception tests, such as polygraph tests, often involve testees wearing numerous electrodes, which can induce nervousness and affect their physiological measurements. Additionally, testers may be hindered by the potential Hawthorne effect caused by such varied measurements, while the movement and behavior of testees are typically restricted to ensure data validity. Based on the conclusive findings of this paper, practitioners can employ radar technology to non-invasively extract crucial vital signs during deception tests, ensuring validation. This approach enhances efficiency and affords greater flexibility to testers.

Keywords:

This study examines the validity and accuracy of a typical radar-based vital signal monitoring system during spoken responses, a common and necessary scenario in deception tests. Traditional deception tests, such as polygraph tests, often involve testees wearing numerous electrodes, which can induce nervousness and affect their physiological measurements. Additionally, testers may be hindered by the potential Hawthorne effect caused by such varied measurements, while the movement and behavior of testees are typically restricted to ensure data validity. Based on the conclusive findings of this paper, practitioners can employ radar technology to non-invasively extract crucial vital signs during deception tests, ensuring validation. This approach enhances efficiency and affords greater flexibility to testers.

Liu,P. (2024). Verification of using radar vital sign monitors in deception tests (2023). Applied and Computational Engineering,34,122-131.
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References

[1]. Aranjo, S., Kadam, A., Sharma, A., & Antappan, A. (2021, May). Lie Detection Using Facial Analysis, Electrodermal Activity, Pulse and Temperature. Lie Detection Using Facial Analysis Electrodermal Activity Pulse and Temperature. https://d1wqtxts1xzle7.cloudfront.net/78660179/JETIR2105529-libre.pdf?1642141274=&response-content-disposition=inline%3B+filename%3DLie_Detection_Using_Facial_Analysis_Elec.pdf&Expires=1691316620&Signature=Nuh3lKncCwaA0GLlMbmFS7d9wouuc9BZbNtzzPv70m1B5ahtYtxz26jDmrVxQsgIpX4Cjcy8yewbrA7wjj8kmX1~5PDzfd4lCVe91yV1jRo5oFlaSc-ZaeM5px0lWm2MMvfdo6sJPNTmcUhUV6FZDkVmbl-wmJiff41Kiiw7rbvmQiVeN8wp9WR72FpNwBuOUrytOt032KoTmItkAWnIyiwx3uOQXBBhVrcF780aKbNL2T2~GBOVCfKXxsPkUAU3qJPpT5HxMCQam8BK5K137QpIZnJunA28mnXYGx2cWOTOO-ARhRjey2dy7hADA2UkJdlIiWIvkVCbZ8P0CNVoSQ__&Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA

[2]. Cutrow, R. J., Parks, A., Lucas, N., & Thomas, K. (1972). The objective use of multiple physiological indices in the detection of deception. Psychophysiology, 9(6), 578–588. https://doi.org/10.1111/j.1469-8986.1972.tb00767.x

[3]. Srivastava, N., & Dubey, S. (2018). Deception detection using artificial neural network and support vector machine. Biomedical Research, 29(10). https://doi.org/10.4066/biomedicalresearch.29-17-2882

[4]. Wang Zhiyu. (2010). Based on physiology parameters to design lie detector. 2010 International Conference on Computer Application and System Modeling (ICCASM 2010). https://doi.org/10.1109/iccasm.2010.5619088

[5]. J. Seals, S. R. Crowgey, and S.M. Sharpe, U.S. Patent Number 4958638, issued September 25, 1990.

[6]. J. Seals, S. R. Crowgey, and S.M. Sharpe, “An electromagnetic non-contact vital signs monitor,” SOUTHCON ’87 Conference Record, 1987.

[7]. Geisheimer, J., & Greneker, E. F. (n.d.). Remote detection of deception using Radar Vital Signs Monitor Technology. Proceedings IEEE 34th Annual 2000 International Carnahan Conference on Security Technology (Cat. No.00CH37083). https://doi.org/10.1109/ccst.2000.891183

[8]. Texas Instrument Radar Vital Signal Sign Demo CCS Project. Ti developer zone. (n.d.). https://dev.ti.com/tirex/explore/node?node=A__AC7VmB.KueN8tkYhmlMnnQ__com.ti.mmwave_industrial_toolbox__VLyFKFf__4.9.0

Cite this article

Liu,P. (2024). Verification of using radar vital sign monitors in deception tests (2023). Applied and Computational Engineering,34,122-131.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 2023 International Conference on Machine Learning and Automation

ISBN：978-1-83558-293-0(Print) / 978-1-83558-294-7(Online)
Editor：Mustafa İSTANBULLU
Conference website: https://2023.confmla.org/
Conference date: 18 October 2023
Series: Applied and Computational Engineering
Volume number: Vol.34
ISSN：2755-2721(Print) / 2755-273X(Online)

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References

[1]. Aranjo, S., Kadam, A., Sharma, A., & Antappan, A. (2021, May). Lie Detection Using Facial Analysis, Electrodermal Activity, Pulse and Temperature. Lie Detection Using Facial Analysis Electrodermal Activity Pulse and Temperature. https://d1wqtxts1xzle7.cloudfront.net/78660179/JETIR2105529-libre.pdf?1642141274=&response-content-disposition=inline%3B+filename%3DLie_Detection_Using_Facial_Analysis_Elec.pdf&Expires=1691316620&Signature=Nuh3lKncCwaA0GLlMbmFS7d9wouuc9BZbNtzzPv70m1B5ahtYtxz26jDmrVxQsgIpX4Cjcy8yewbrA7wjj8kmX1~5PDzfd4lCVe91yV1jRo5oFlaSc-ZaeM5px0lWm2MMvfdo6sJPNTmcUhUV6FZDkVmbl-wmJiff41Kiiw7rbvmQiVeN8wp9WR72FpNwBuOUrytOt032KoTmItkAWnIyiwx3uOQXBBhVrcF780aKbNL2T2~GBOVCfKXxsPkUAU3qJPpT5HxMCQam8BK5K137QpIZnJunA28mnXYGx2cWOTOO-ARhRjey2dy7hADA2UkJdlIiWIvkVCbZ8P0CNVoSQ__&Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA

[2]. Cutrow, R. J., Parks, A., Lucas, N., & Thomas, K. (1972). The objective use of multiple physiological indices in the detection of deception. Psychophysiology, 9(6), 578–588. https://doi.org/10.1111/j.1469-8986.1972.tb00767.x

[3]. Srivastava, N., & Dubey, S. (2018). Deception detection using artificial neural network and support vector machine. Biomedical Research, 29(10). https://doi.org/10.4066/biomedicalresearch.29-17-2882

[4]. Wang Zhiyu. (2010). Based on physiology parameters to design lie detector. 2010 International Conference on Computer Application and System Modeling (ICCASM 2010). https://doi.org/10.1109/iccasm.2010.5619088

[5]. J. Seals, S. R. Crowgey, and S.M. Sharpe, U.S. Patent Number 4958638, issued September 25, 1990.

[6]. J. Seals, S. R. Crowgey, and S.M. Sharpe, “An electromagnetic non-contact vital signs monitor,” SOUTHCON ’87 Conference Record, 1987.

[7]. Geisheimer, J., & Greneker, E. F. (n.d.). Remote detection of deception using Radar Vital Signs Monitor Technology. Proceedings IEEE 34th Annual 2000 International Carnahan Conference on Security Technology (Cat. No.00CH37083). https://doi.org/10.1109/ccst.2000.891183

[8]. Texas Instrument Radar Vital Signal Sign Demo CCS Project. Ti developer zone. (n.d.). https://dev.ti.com/tirex/explore/node?node=A__AC7VmB.KueN8tkYhmlMnnQ__com.ti.mmwave_industrial_toolbox__VLyFKFf__4.9.0

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