Research Article
Real Time Facial Expression Recognition
@INPROCEEDINGS{10.1007/978-3-642-27317-9_13, author={Saumil Srivastava}, title={Real Time Facial Expression Recognition}, proceedings={Advances in Computer Science and Information Technology. Computer Science and Information Technology. Second International Conference, CCSIT 2012, Bangalore, India, January 2-4, 2012. Proceedings, Part III}, proceedings_a={CCSIT PART III}, year={2012}, month={11}, keywords={Haar Classifier SVM Shi Tomasi Corner Detection facial expression analysis affective user interface}, doi={10.1007/978-3-642-27317-9_13} }- Saumil Srivastava
Year: 2012
Real Time Facial Expression Recognition
CCSIT PART III
Springer
DOI: 10.1007/978-3-642-27317-9_13
Abstract
This paper discusses 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.