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Lie Detection System Using Facial Expressions

Lie Detection System Using Facial Expressions. Nathan de la Cruz Supervisor: Mehrdad Ghaziasgar MENTORS: Dane Brown AND Diego Mushfieldt. Introduction. Background Research has found: More than 80% of women admit to occasionally telling “harmless half truths ”.

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Lie Detection System Using Facial Expressions

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  1. Lie Detection System Using Facial Expressions Nathan de la Cruz Supervisor: Mehrdad Ghaziasgar MENTORS: Dane Brown AND Diego Mushfieldt

  2. Introduction Background Research has found: • More than 80% of women admit to occasionally telling “harmless half truths”. • 31% of people admit to lying on their CV’s. • 60% of people lie at least once during a 10 minute conversation and on average tell 2 to 3 lies.

  3. Ways to detect Lies Study body language

  4. Ways to detect Lies Studying Eye movements LIE TRUTH

  5. Ways to detect Lies Observing micro-expressions

  6. User Requirements The user requires the system to accurately tell if a person is or is not lying. The user should be able to initialize the software. The user will ask the subject a series of questions. The software should be monitoring the subjects’ response. At any time the user should be able to stop the processing and get a result.

  7. Requirements Analysis What Is Needed? A Web Camera A PC with Open Computer Vision (OpenCV) libraries Installed.

  8. Requirements Analysis Complete Analysis • Process Initialization (Clicking Some Button) • Capturing Video In Real Time & Detecting The Face • Pre-processing Frames • Processing Frames Using Optical Flow • Process Termination (Clicking Some Button) • Displaying Information to User

  9. Requirements Analysis Capturing Video In Real Time & Detecting The Face

  10. Requirements Analysis Pre-processing Frames Greyscale Cropping

  11. Requirements Analysis Processing Frames Using Optical Flow

  12. Requirements Analysis Displaying Information to User Either a “Passed” or a “Failed” message will be displayed User not faced with detailed information Improves the user understandability aspect of the software

  13. Project Plan

  14. References Robert Etherson. (2008). people admit to lying on their resumes. Available: http://www.databaserecords.com/blog/31-of-people-admit-to-lying-on-their-resumes/. Last accessed 28th March 2013. Michelle Adler. (2009). little white coat lies. Available: http://www.newsweek.com/2009/01/07/little-white-coat-lies. Last accessed 28th March 2013. Henry Bach . (2004). read face deciphering micro-expression. Available: http://www.divinecaroline.com/22189/83672-read-face-deciphering-microexpressions. Last accessed 28th March 2013.

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