Automatic Facial Expression Recognition in an Image Sequence of Non-Manual Indian Sign Language Using Support Vector Machine
Sign Language is one of the prime applications of facial expression recognition system. It is an easy task for a human being to identify the expression of a person in a particular image sequence but not many efficient fully automated systems are available to perform this task. Lot of work has been done to automate the recognition system for many sign languages like Turkish Sign Language (TSL) [2], American Sign Language (ASL) [3], Chinese Sign Language (CSL) [4] etc. But rare effort has been done for any of the Indian Sign Language (ISL). Therefore, in this paper, a large video data set of Indian Sign Language (ISL) is prepared consisting of some of the expressions. Further, an automatic facial expression recognition system is developed to identify the expressions performed in these videos. Also same algorithm is run on the Turkish sign language data set provided by Aran et al. [2] and a comparison is provided between these two dataset.