07-01-2013, 12:14 AM
ABSTRACT
This paper discusses a novel method for Facial Expression Recognition System which performs facial
expression analysis in a near real time from a live web cam feed. Primary objectives were to get results in a
near real time with light invariant, person independent and pose invariant way. The system is composed of
two different entities trainer and evaluator. Each frame of video feed is passed through a series of steps
including haar classifiers, skin detection, feature extraction, feature points tracking, creating a learned
Support Vector Machine model to classify emotions to achieve a tradeoff between accuracy and result rate.
A processing time of 100-120 ms per 10 frames was achieved with accuracy of around 60%. We measure
our accuracy in terms of variety of interaction and classification scenarios. We conclude by discussing
relevance of our work to human computer interaction and exploring further measures that can be taken.
please suggest me how to do the project with source code please..