One of best and easiest methods for emotion recognition is facial expressions. Facial expression gives important information aboutemotion of a person. Face emotion recognition is one of main applications machine vision that widely attended in recent years. It can be used inareas of security, entertainment and human machine interface (HMI). Emotion recognition usually uses of science image processing, speechprocessing, gesture signal processing and physiological signal processing. In this paper particle swarm optimization algorithm using feedforward neural network based on two dataset of images to face emotion recognition in two different geographical regions has been proposed. Werecommend use of eye and lip as biometric elements for face emotion recognition. Face emotion recognition process involves three stages preprocessing,feature extraction and classification. One of biggest problems in classification emotion is overlap in range of values. In the otherwords to increase accuracy in face emotion recognition we recommend use of feed forward neural network. This method used for two differentgeographical regions (Indian and Japanese) and can be used for any geographical area with certain error. The obtained results show that successrate and running speed for two different geographical areas are acceptable.Keywords: Feature extraction, Projection profile, Particle swarm optimization algorithm and Feed forward network.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Face Emotion Recognition for All Geographical Regions using Particle Swarm Optimization Algorithm and Feed Forward Network


    Beteiligte:

    Erscheinungsdatum :

    2017-01-13


    Anmerkungen:

    doi:10.26483/ijarcs.v3i1.1025
    International Journal of Advanced Research in Computer Science; Vol 3, No 1 (2012): January-February 2012; 22-25 ; 0976-5697 ; 10.26483/ijarcs.v3i1



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    DDC:    006 / 629



    Face Emotion Recognition Using Optimality Parameters Eye and Lip in Different Geographical Area

    Navin, Ahmad Habibizad / Nima Jafari Navimipour, Mehdi Akhari ,Mirkamal Mirnia | BASE | 2017

    Freier Zugriff


    Optimized Algorithm for Particle Swarm Optimization

    Fuzhang Zhao | BASE | 2016

    Freier Zugriff

    Missile Guidance Algorithm Design Using Particle Swarm Optimization

    Kung, Chien-Chun / Chen, Kuei-Yi | Tema Archiv | 2013