SEVENEBASIC: DETECTION AND ANALYSIS OF FACIAL EXPRESSIONS ASSOCIATED WITH THE SEVEN BASIC EMOTIONS OF PAUL EKMAN
DOI:
https://doi.org/10.56238/levv17n58-033Keywords:
Facial Expressions, Emotions, MediaPipe, TensorFlowAbstract
SevenEBasic is a Python application for analyzing facial expressions in real time, based on Paul Ekman's seven basic emotions. It uses MediaPipe and TensorFlow to help interviewers identify predominant emotions in real time and better understand candidates' emotional responses. Developed using the Waterfall model, which encompasses requirements gathering, followed by detailed system design, code implementation, and extensive testing to ensure compliance with requirements. SevenEBasic meets its objectives and is useful in a variety of scenarios, although it faces challenges due to filtering issues in the dataset used, lighting and user position.
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