• P.S.Sumathi
• Dr. D.Christopher Durairaj

Emotional health plays very vital role to improve people's quality of lives, especially for the elderly. Negative emotional states can lead to social or mental health problems. To cope with emotional health problems caused by negative emotions in daily life, we propose efficient facial expression recognition system to contribute in emotional healthcare system. Thus, facial expressions play a key role in our daily communications, and recent years have witnessed a great amount of research works for reliable facial expressions recognition (fer) systems. Hence, facial expression analysis from video data is considered to be a very challenging task in the research areas of computer vision, image processing, and pattern recognition. In this paper proposed to selection and efficient use of local features for Face and facial expression recognition in a Cortical architecture process.

Facial Expression, Recognition, Generic object, Detection, Neural Network,

"SELECTION AND EFFICIENT USE OF LOCAL FEATURES FOR FACE AND FACIAL EXPRESSION RECOGNITION IN A CORTICAL ARCHITECTURE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.133-145, December-2018, Available :http://www.jetir.org/papers/JETIR1812718.pdf

"SELECTION AND EFFICIENT USE OF LOCAL FEATURES FOR FACE AND FACIAL EXPRESSION RECOGNITION IN A CORTICAL ARCHITECTURE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp133-145, December-2018, Available at : http://www.jetir.org/papers/JETIR1812718.pdf