DocumentCode :
3776180
Title :
Facial emotion recognising memristive threshold logic system
Author :
Dayana Mathew;Dinesh Sasi Kumar;Alex Pappachen James
Author_Institution :
Enview R&D Labs, Triavndrum, India
fYear :
2015
Firstpage :
39
Lastpage :
44
Abstract :
The edge features in facial images change with changes in images, and are useful for automatically recognising the facial expressions. We present an edge feature extraction method using neuronal threshold logic models to automatically recognise the facial expressions. The system is simulated at digital system level consisting of reading an image followed up with edge extraction system that can be implemented with hybrid CMOS-memristive digital circuits. The results indicate robust edges of the facial features and its useful in development of real-time emotion recognizing digital chip.
Keywords :
"Image edge detection","Emotion recognition","Computer architecture","Microprocessors","Feature extraction","Training","Testing"
Publisher :
ieee
Conference_Titel :
Intelligent Computational Systems (RAICS), 2015 IEEE Recent Advances in
Type :
conf
DOI :
10.1109/RAICS.2015.7488385
Filename :
7488385
Link To Document :
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