Signal and Image Processing Letters
Vol 1, No 1 (2019)

Real-time Facial Expression Recognition to Track Non-verbal Behaviors as Lie Indicators During Interview

Setiawan, Arif Budi (Unknown)
Anwar, Kaspul (Unknown)
Azizah, Laelatul (Unknown)
Prahara, Adhi (Unknown)



Article Info

Publish Date
25 Oct 2023

Abstract

During interview, a psychologist should pay attention to every gesture and response, both verbal and nonverbal language/behaviors, made by the client. Psychologist certainly has limitation in recognizing every gesture and response that indicates a lie, especially in interpreting nonverbal behaviors that usually occurs in a short time. In this research, a real time facial expression recognition is proposed to track nonverbal behaviors to help psychologist keep informed about the change of facial expression that indicate a lie. The method tracks eye gaze, wrinkles on the forehead, and false smile using combination of face detection and facial landmark recognition to find the facial features and image processing method to track the nonverbal behaviors in facial features. Every nonverbal behavior is recorded and logged according to the video timeline to assist the psychologist analyze the behavior of the client. The result of tracking nonverbal behaviors of face is accurate and expected to be useful assistant for the psychologists.

Copyrights © 2019






Journal Info

Abbrev

simple

Publisher

Subject

Computer Science & IT Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

Description

The journal invites original, significant, and rigorous inquiry into all subjects within or across disciplines related to signal processing and image processing. It encourages debate and cross-disciplinary exchange across a broad range of ...