Skip to main navigation
Skip to search
Skip to main content
University of Johannesburg Home
Home
Scholars
Research entities
Research output
Press/Media
Equipment & facilities
Prestigious awards
Search by expertise, name or affiliation
Facial micro-expression recognition: A machine learning approach
Iyanu Pelumi Adegun
,
Hima Bindu Vadapalli
Federal University of Technology, Akure
Rufus Giwa Polytechnic
University of the Witwatersrand
Research output
:
Contribution to journal
›
Article
›
peer-review
38
Citations (Scopus)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Facial micro-expression recognition: A machine learning approach'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Computer Science
Machine Learning Approach
100%
Extreme Learning Machine
100%
Expression Recognition
100%
Support Vector Machine
83%
Temporal Feature
33%
Recognition Performance
33%
Feature Extraction
33%
Baseline Model
16%
Machine Learning Technique
16%
Learning Ability
16%
Machine Learning Algorithm
16%
Lower Performance
16%
Image Sequence
16%
Keyphrases
Micro-expression
100%
Micro-expression Recognition
100%
Facial Micro-expression
100%
Fast Learning
28%
Machine Training
28%
Local Binary Pattern
28%
Learning Speed
14%
Support Vector Machine Learning
14%
Machine Learn
14%
Orthogonal Planes
14%
State of Mind
14%
Spatiotemporal Feature Extraction
14%
CASME II
14%