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 …
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 …
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 …
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 …
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
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 …
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 …
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 …
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 …
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 …
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) …
It uses the advancements in natural language processing (NLP) and machine learning (ML) …