A hybrid approach of neural networks for age and gender classification through decision fusion

J Rwigema, J Mfitumukiza, K Tae-Yong - Biomedical Signal Processing …, 2021 - Elsevier
Age and Gender are identified as very important attributes in human identification and these
attributes are used in various fields of Human and Computer Interaction (HCI) such as …

Comparing approaches for explaining DNN-based facial expression classifications

K ter Burg, H Kaya - Algorithms, 2022 - mdpi.com
Classifying facial expressions is a vital part of develo** systems capable of aptly
interacting with users. In this field, the use of deep-learning models has become the …

Emotion recognition using convolutional neural network (CNN)

NAS Badrulhisham… - Journal of Physics …, 2021 - iopscience.iop.org
Emotion is an expression that human use in expressing their feelings. It can be express
through facial expression, body language and voice tone. Humans' facial expression is a …

[PDF][PDF] Face identification based on K-nearest neighbor

NKA Wirdiani, P Hridayami… - Scientific Journal …, 2019 - pdfs.semanticscholar.org
At this moment, face identification has been widely applied for security on gadgets, smart
home security, and others. Face dominates as a biometric which is most increase in the next …

Emotion categorization from video-frame images using a novel sequential voting technique

HA Shehu, W Browne, H Eisenbarth - International Symposium on Visual …, 2020 - Springer
Emotion categorization can be the process of identifying different emotions in humans based
on their facial expressions. It requires time and sometimes it is hard for human classifiers to …

Towards machine learning-based emotion recognition from multimodal data

MF Shahriar, MSA Arnab, MS Khan… - Frontiers of ICT in …, 2023 - Springer
Understanding human emotion is vital to communicate effectively with others, monitor
patients, analyse behaviour, and keep an eye on those who are vulnerable. Emotion …

[HTML][HTML] A Video-Based Cognitive Emotion Recognition Method Using an Active Learning Algorithm Based on Complexity and Uncertainty

H Wu, D Zhou, Z Guo, Z Song, Y Li, X Wei, Q Zhou - Applied Sciences, 2025 - mdpi.com
The cognitive emotions of individuals during tasks largely determine the success or failure of
tasks in various fields such as the military, medical, industrial fields, etc. Facial video data …

Enhanced Facial Expression Recognition Based on Facial Action Unit Intensity and Region

W Chen, A Wang - … on Systems, Man, and Cybernetics (SMC), 2023 - ieeexplore.ieee.org
Facial expression recognition (FER) is an attractive research area with important
applications, such as in human-computer interaction, where FER can facilitate better …

Realtime Emotion Recognition from Images to Understand Facial Expressions

MA Shaik, Y Sahithi, M Nishitha… - 2024 Asia Pacific …, 2024 - ieeexplore.ieee.org
Emotion recognition from images plays an important role in various industries, including
healthcare, education and marketing, as well as in human-computer interactions. This paper …

Sound Wave Scribe: Bridging Spoken Language and Written Text

MA Shaik, A Kethireddy, S Nerella… - … in Computer Science …, 2024 - ieeexplore.ieee.org
The Sound Wave Scribe Voice Assistant paper is, about how people interact with computers.
It uses the advancements in natural language processing (NLP) and machine learning (ML) …