Affective Science › Facial Action Unit Detection & Coding
Spontaneous versus Posed Facial Action Unit Kinematic Discrimination
This research applies kinematic feature extraction and machine learning to differentiate genuine spontaneous action units from deliberately controlled posed movements based on velocity, acceleration, and smoothness profiles. The work contributes to automated deception detection and psychological authenticity assessment by identifying biomechanical markers of genuine emotion.
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📚 Academic: Thesis & PPT assistance included🧪 Tech: Master the protocols hands-on📝 Research > 3 months: Publication co-authorship in a Scopus-indexed journal
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