Eye blink count and eye blink duration analysis for deception detection

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

Face based deception detection systems are noninvasive and are more convenient than other deception detection systems as the facial images can be captured and analyzed without the knowledge of the subject being analysed. Deception detection research studies show that blink rate is an indicator of deception. Some studies concluded that blink rate increases during deception, whereas some other researchers concluded that during deception blink rate decreases. The goal of the current study is to analyse blink count and blink duration of truth and lie responses of various subjects while answering interview questions. In this paper a psychological experiment was conducted for deception detection wherein the blink count and blink duration of the 50 subjects were analysed for truth and lie responses for 10 control questions. The questions are related to name, age, place, house, marital status, entertainment, food and religion. The analysis shows that blink duration and blink count are more while lying.

Original languageEnglish
Title of host publication2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages223-229
Number of pages7
Volume2017-January
ISBN (Electronic)9781509063673
DOIs
Publication statusPublished - 30-11-2017
Event2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017 - Manipal, Mangalore, India
Duration: 13-09-201716-09-2017

Conference

Conference2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017
CountryIndia
CityManipal, Mangalore
Period13-09-1716-09-17

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Experiments

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems

Cite this

George, S., Pai, M. M. M., Pai, R. M., & Praharaj, S. K. (2017). Eye blink count and eye blink duration analysis for deception detection. In 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017 (Vol. 2017-January, pp. 223-229). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICACCI.2017.8125844
George, Sabu ; Pai, Manohara M.M. ; Pai, Radhika M. ; Praharaj, Samir Kumar. / Eye blink count and eye blink duration analysis for deception detection. 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017. Vol. 2017-January Institute of Electrical and Electronics Engineers Inc., 2017. pp. 223-229
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George, S, Pai, MMM, Pai, RM & Praharaj, SK 2017, Eye blink count and eye blink duration analysis for deception detection. in 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017. vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., pp. 223-229, 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017, Manipal, Mangalore, India, 13-09-17. https://doi.org/10.1109/ICACCI.2017.8125844

Eye blink count and eye blink duration analysis for deception detection. / George, Sabu; Pai, Manohara M.M.; Pai, Radhika M.; Praharaj, Samir Kumar.

2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017. Vol. 2017-January Institute of Electrical and Electronics Engineers Inc., 2017. p. 223-229.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - Face based deception detection systems are noninvasive and are more convenient than other deception detection systems as the facial images can be captured and analyzed without the knowledge of the subject being analysed. Deception detection research studies show that blink rate is an indicator of deception. Some studies concluded that blink rate increases during deception, whereas some other researchers concluded that during deception blink rate decreases. The goal of the current study is to analyse blink count and blink duration of truth and lie responses of various subjects while answering interview questions. In this paper a psychological experiment was conducted for deception detection wherein the blink count and blink duration of the 50 subjects were analysed for truth and lie responses for 10 control questions. The questions are related to name, age, place, house, marital status, entertainment, food and religion. The analysis shows that blink duration and blink count are more while lying.

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George S, Pai MMM, Pai RM, Praharaj SK. Eye blink count and eye blink duration analysis for deception detection. In 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017. Vol. 2017-January. Institute of Electrical and Electronics Engineers Inc. 2017. p. 223-229 https://doi.org/10.1109/ICACCI.2017.8125844