Automatic facial expression recognition combining texture and shape features from prominent facial regions

Author:

Kumar H N Naveen1ORCID,Kumar A Suresh2ORCID,Prasad M S Guru2ORCID,Shah Mohd Asif3ORCID

Affiliation:

1. Department of Electronics and Communication Engineering Vidyavardhaka College of Engineering Gokulum III Stage Mysuru Karnataka India

2. Department of Computer Science and Engineering Graphic Era (Deemed to be University) Dehradun India

3. Department of Economics College of Business and Economics Kebri Dehar University Jigjiga Ethiopia

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

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1. Recognition of Human emotions using Semi-Supervised Technique with SHO based DTM;2023 IEEE 3rd Mysore Sub Section International Conference (MysuruCon);2023-12-01

2. A novel weighted deep convolution model – African vultures optimization algorithm for an automated facial emotion recognition system;Multimedia Tools and Applications;2023-11-28

3. CNN-Based Analysis of Ultrasound Images for PCOS Diagnosis;2023 3rd International Conference on Technological Advancements in Computational Sciences (ICTACS);2023-11-01

4. Hand Gesture Controlled White Board;2023 International Conference on Computer Science and Emerging Technologies (CSET);2023-10-10

5. Automated Student's Details Access System Using Face Recognition;2023 International Conference on Computer Science and Emerging Technologies (CSET);2023-10-10

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