Open AccessClassification of Facial Expression Recognition using Machine Learning Algorithms
Author(s) -
D Abinaya,
C. Priyanka,
M Rocky Stefinjain,
Gnanavel Venkatesan,
S. Kamalraj
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1937/1/012001
Subject(s) - facial expression , disgust , artificial intelligence , support vector machine , computer science , pattern recognition (psychology) , face (sociological concept) , machine learning , facial expression recognition , principal component analysis , extreme learning machine , algorithm , facial recognition system , anger , artificial neural network , psychology , social science , psychiatry , sociology
Face is the reflection of brain facial expressions are the discernible consequences of moving a facial muscle. In the perception of human articulations, the facial expression like Sad, Happy, Anger, Disgust, Fear is assumes a fundamental part. The objective of this research focuses on facial expression recognition which related to machine learning and optimization algorithms. Here, we proposed Hybrid Adaptive Kernel based Extreme Learning Machine (HAKELM) algorithm to identify the human facial expression based on certain image processing technique. Thus, the obtained results shown the proposed HAKELM scheme achieved 10% more accuracy, sensitivity and specificity than existing algorithms like Principal Component Analysis (PCA) and Support Vector Machine (SVM).