Facial emotion recognising memristive threshold logic system

Dayana Mathew, Dinesh Sasi Kumar, Alex Pappachen James

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publication2015 IEEE Recent Advances in Intelligent Computational Systems, RAICS 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages39-44
Number of pages6
ISBN (Electronic)9781467366700
DOIs
Publication statusPublished - Jun 9 2016
Event2015 IEEE Recent Advances in Intelligent Computational Systems, RAICS 2015 - Trivandrum, Kerala, India
Duration: Dec 10 2015Dec 12 2015

Publication series

Name2015 IEEE Recent Advances in Intelligent Computational Systems, RAICS 2015

Other

Other2015 IEEE Recent Advances in Intelligent Computational Systems, RAICS 2015
CountryIndia
CityTrivandrum, Kerala
Period12/10/1512/12/15

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Systems Engineering

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