z-logo
open-access-imgOpen Access
Feature extraction comparison for facial expression recognition using adaptive extreme learning machine
Author(s) -
Muhammad Wafi,
Fitra Abdurrachman Bachtiar,
Fitri Utaminingrum
Publication year - 2022
Publication title -
international journal of power electronics and drive systems/international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
eISSN - 2722-2578
pISSN - 2722-256X
DOI - 10.11591/ijece.v13i1.pp1113-1122
Subject(s) - sadness , computer science , artificial intelligence , extreme learning machine , facial expression , pattern recognition (psychology) , disgust , contempt , feature extraction , local binary patterns , feature (linguistics) , expression (computer science) , surprise , facial expression recognition , speech recognition , anger , facial recognition system , artificial neural network , psychology , neuroscience , philosophy , histogram , programming language , image (mathematics) , linguistics , social psychology , psychiatry

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom