Journal article Open Access

Facial Expression Detection using Deep Neural Networks

M. Sandeep Reddy; Ch. Chinmai; B. Sai Teja; P. M. Ashok Kumar

Sponsor(s)
Blue Eyes Intelligence Engineering & Sciences Publication (BEIESP)

Facial Expression conveys nonverbal communication, which plays an important role in acquaintance among people. The facial expression detection system is an activity to identify the emotional state of the person. In this system, a captured frame is compared with trained data set that is available in the database and then state of the captured frame is defined. This system is based on Image Processing and Machine Learning. For designing a robust facial feature descriptor, we apply the Xception Modelling algorithm. The detection performance of the proposed method will be evaluated by loading the dataset and pre-processing the images for feeding it to CNN model. Experimental results with prototypic expressions show the superiority of the Xception-Model descriptor against some well-known appearance-based feature representation methods. Experimental results demonstrate the competitive classification accuracy for our proposed method.

Files (346.6 kB)
Name Size
C5340029320 (1).pdf
md5:75e2df780ed68df88fd0a4c058401cae
346.6 kB Download
22
6
views
downloads
Views 22
Downloads 6
Data volume 2.1 MB
Unique views 19
Unique downloads 6

Share

Cite as