Effective Facial Expression Recognition System Using Artificial Intelligence Technique
Facial expressions are the most basic non-verbal method people use to communicate feelings, intentions and reactions without words. Recognizing these facial expressions accurately is essential for a variety of applications — such as tools that use our faces to interact with computers (human-compute...
Saved in:
Main Authors: | Imad S. Yousif, Tarik A. Rashid, Ahmed S. Shamsaldin, Sabat A. Abdulhameed, Abdulhady Abas Abdullah |
---|---|
Format: | Article |
Language: | English |
Published: |
Sulaimani Polytechnic University
2024-12-01
|
Series: | Kurdistan Journal of Applied Research |
Subjects: | |
Online Access: | https://kjar.spu.edu.iq/index.php/kjar/article/view/974 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Facial expression recognition through muscle synergies and estimation of facial keypoint displacements through a skin-musculoskeletal model using facial sEMG signals
by: Lun Shu, et al.
Published: (2025-02-01) -
Multimodal Emotion Recognition: Emotion Classification Through the Integration of EEG and Facial Expressions
by: Songul Erdem Guler, et al.
Published: (2025-01-01) -
Enhancing feature selection for multi-pose facial expression recognition using a hybrid of quantum inspired firefly algorithm and artificial bee colony algorithm
by: Mu Panliang, et al.
Published: (2025-02-01) -
A joint learning method for low-light facial expression recognition
by: Yuanlun Xie, et al.
Published: (2025-01-01) -
Machine learning and facial recognition for down syndrome detection: A comprehensive review
by: Khosro Rezaee
Published: (2025-03-01)