This research project aims to develop a tool for Micro Facial Expressions analysis. The procedural approaches will be investigated to the best solution to extract Micro Facial Expressions by image processing and video processing techniques.The Micro Facial Expressions Tool (MFET) will be able to replay in different mode, different speed, and different scale to demonstrate the facial actions.
The work will concentrate upon novel computer vision techniques. The project will combine skills and interests in computer vision, human facial behaviour, and 2D modelling.
The student will also receive training on the Emotional Skills and Competencies (ESaC) and Evaluating Truthfulness and Credibility (ETaC) courses from Paul Ekman International plc.
The research and testing phase is well underway using a high speed camera and experimental design that is geared to capturing and recognising micro facial expressions (MFEs) triggered by all seven emotions that have universal expressions. This work will also help us to analyse the speed, onset, duration and offset shapes and durations of MFEs and how they differ across individuals and depending on which muscles are engaged.