On facial expression recognition benchmarks

E Owusu, JA Kumi, JK Appati - … Computational Intelligence and …, 2021 - Wiley Online Library
Facial expression is an important form of nonverbal communication, as it is noted that 55%
of what humans communicate is expressed in facial expressions. There are several …

Deep neural network approach for pose, illumination, and occlusion invariant driver emotion detection

SB Sukhavasi, SB Sukhavasi, K Elleithy… - International Journal of …, 2022 - mdpi.com
Monitoring drivers' emotions is the key aspect of designing advanced driver assistance
systems (ADAS) in intelligent vehicles. To ensure safety and track the possibility of vehicles' …

Facial Expression Classifier Using Better Technique: FisherFace Algorithm

N Hegde, S Preetha, S Bhagwat - … International Conference on …, 2018 - ieeexplore.ieee.org
Facial recognition is one of the most secure modes of authorization which uses samples of
photographs or videos to authorize a person's identity. Facial recognition has its own …

New Optimization Technique to Extract Facial Features.

M Fachrurrozi, A Wijaya… - … International Journal of …, 2018 - search.ebscohost.com
The improved harmony search algorithm (IHSA), harmony search algorithm (HSA) and
genetic algorithm (GA) are applied to extract facial features based on edges in the horizontal …

Facial expression recognition based on local double binary mapped pattern

C Yang, M Hu, Y Zheng, X Wang, Y Gao… - Advances in Multimedia …, 2018 - Springer
Local feature descriptors play an important role in facial expression recognition. Local
Binary Pattern (LBP) only considers the signal information of the difference between the gray …

MEDNET–an approach to facial micro-emotion recognition using pixel binning and local Binary pattern-convolutional neural network

TA Araf - 2023 - dspace.bracu.ac.bd
Facial-Expression recognition is a very intriguing field of research, due to the complexity in
its approach and applicability of widely available databases. However, Micro-expression …

Evaluating the Performance of Various Types of Neural Network by Varying Number of Epochs for Identifying Human Emotion

R Sofia, D Sivakumar - Computational Vision and Bio-Inspired Computing …, 2020 - Springer
Epochs represents the number of times a network gets trained with a particular database. In
this scenario, when we go for more number of epochs there is a possibility that neural …

[PDF][PDF] Automatic Analysis and Recognition of Facial Expressions Invariant to Illumination

ZH Shah - 2018 - gtusitecirculars.s3.amazonaws.com
Humans can communicate with each other in two ways, auditory and visual. The major
modalities of these communications are: speech, vocal intonation, facial expressions and …

[PDF][PDF] New Optimization Technique to Extract Facial

A Wijaya, MN Rachmatullah - Coordinates - iaeng.org
The improved harmony search algorithm (IHSA), harmony search algorithm (HSA) and
genetic algorithm (GA) are applied to extract facial features based on edges in the horizontal …

Research on Monitoring Methods for Electricity Hall Staff Based on Autonomous Updating and Semi-supervising Model

Y Tang, Z Qiao, R Zou, X Qiao, C Liu… - Data Science: 4th …, 2018 - Springer
With the continuous improvement of the concept of grid marketing and service awareness,
Whether the electricity hall staff is on the job has become the basic guarantee for monitoring …