Using Blink Rate to Detect Deception: A Study to Validate an Automatic Blink Detector and a New Dataset of Videos from Liars and Truth-Tellers
| Autor: | Federica Ragucci, Giuseppe Sartori, Alessandro Angrilli, Merylin Monaro, Cristina Scarpazza, Antonietta Curci, Antonio Maffei, Pasquale Capuozzo |
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| Rok vydání: | 2020 |
| Předmět: |
Cognitive load
Deception InformationSystems_INFORMATIONINTERFACESANDPRESENTATION(e.g. HCI) Computer science media_common.quotation_subject ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 050109 social psychology 050105 experimental psychology InformationSystems_MODELSANDPRINCIPLES Automatic blink detector Eye-blink Lie detection medicine 0501 psychology and cognitive sciences Computer vision media_common medicine.diagnostic_test business.industry 05 social sciences Detector Electrooculography Eye tracking Artificial intelligence business |
| Zdroj: | Human-Computer Interaction. Human Values and Quality of Life ISBN: 9783030490645 HCI (3) |
| DOI: | 10.1007/978-3-030-49065-2_35 |
| Popis: | Eye-blink is a sensitive index of cognitive load and some studies have reported that it can be a useful cue for detecting deception. However, it is difficult to apply in the real forensic scenario as very complex techniques to record eye blinking are usually needed (e.g., electrooculography, eye tracker technology). In this paper, we propose a new approach to automatically detect eye blinking based on a computer vision algorithm, which does not require any expensive technology to record data. Results demonstrated that the automatic blink detector reached an accuracy similar to the electrooculogram in detecting the blink rate. Moreover, the automatic blink detector was applied to 68 videos of people who were lying or telling the truth about a past holiday, testing the difference between the two groups in terms of blink rate and response timing. Training machine learning classification models on these features, an accuracy up to 70% in identifying liars and truth-tellers was obtained. |
| Databáze: | OpenAIRE |
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