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Real-time Facial Expression Recognition to Track Non-verbal Behaviors as Lie Indicators During Interview Setiawan, Arif Budi; Anwar, Kaspul; Azizah, Laelatul; Prahara, Adhi
Signal and Image Processing Letters Vol 1 No 1 (2019)
Publisher : Association for Scientic Computing and Electronics, Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/simple.v1i1.144

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.
The Implementation of Role-Playing Method to Enhance Self-Confidence at Taman Kanak-Kanak Islam Ahsan Jambi City Mari'a, Siti Sulthonah Hana Mahana Nur Hani'am; Maruddani, Raoda Tul Jannah; Anwar, Kaspul; Mardiana, Mardiana; Mastikawati, Mastikawati; Fitriah, Fitriah
Edumaspul: Jurnal Pendidikan Vol 8 No 2 (2024): Edumaspul: Jurnal Pendidikan
Publisher : Universitas Muhammadiyah Enrekang

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Abstract

This study aims to enhance the self-confidence of young children at Taman Kanak-Kanak Islam Ahsan in Jambi City through the application of role-playing methods. Based on initial observations conducted on January 15-19, 2024, it was found that aspects of self-confidence development, including self-belief, Tidak mudah putus asam, objectivity, responsibility, and rationality, were still underdeveloped. Among the 12 children observed, all showed a lack of self-confidence (100%), 10 children were less Tidak mudah putus asatic (80%), only 5 children demonstrated objectivity and responsibility (40% each), and 7 children displayed rational and realistic thinking (60%). This research employed Classroom Action Research (CAR) using the Kemmis & McTaggart model with a cycle-based approach involving planning, action, observation, and reflection. The results indicated that implementing the role-playing method effectively increased the children’s self-confidence. Throughout Cycles I and II, there was a noticeable increase in the number of children categorized as "Developing Well" and "Developing Very Well." By the second session of Cycle II, 75% of the children demonstrated positive developments in self-confidence aspects. These findings suggest that the role-playing method is not only effective in boosting self-confidence but also supports social and emotional growth in young children, positively impacting the quality of education at Taman Kanak-Kanak Islam Ahsan in Jambi City.
Real-time Facial Expression Recognition to Track Non-verbal Behaviors as Lie Indicators During Interview Setiawan, Arif Budi; Anwar, Kaspul; Azizah, Laelatul; Prahara, Adhi
Signal and Image Processing Letters Vol 1, No 1 (2019)
Publisher : Association for Scientific Computing Electrical and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/simple.v1i1.85

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.