Automated Facial Emotion Recognition Using the Pelican Optimization Algorithm with a Deep Convolutional Neural Network
Facial emotion recognition (FER) stands as a pivotal artificial intelligence (AI)-driven
technology that exploits the capabilities of computer-vision techniques for decoding and …
technology that exploits the capabilities of computer-vision techniques for decoding and …
[PDF][PDF] Human emotion recognize using convolutional neural network (CNN) and Mel frequency cepstral coefficient (MFCC)
J Mannar Mannan, L Srinivasan… - Seybold Report …, 2023 - seyboldpublications.com
Develo** an application for definitive human emotion state recognition is yet to optimize to
resolve problems in mental health diagnosis. Facial expression together with voice …
resolve problems in mental health diagnosis. Facial expression together with voice …
Research on Image Classification and Retrieval Using Deep Learning with Attention Mechanism on Diaspora Chinese Architectural Heritage in Jiangmen, China
L Gao, Y Wu, T Yang, X Zhang, Z Zeng, CKD Chan… - Buildings, 2023 - mdpi.com
The study of the architectural heritage of the Chinese diaspora has an important role and
significance in China's historical and cultural background in the preservation of cultural data …
significance in China's historical and cultural background in the preservation of cultural data …
Comprehensive Review and Analysis on Facial Emotion Recognition: Performance Insights into Deep and Traditional Learning with Current Updates and Challenges.
In computer vision and artificial intelligence, automatic facial expression-based emotion
identification of humans has become a popular research and industry problem. Recent …
identification of humans has become a popular research and industry problem. Recent …
Can artificial intelligence understand our emotions? Deep learning applications with face recognition
Objective The aim of this study is to evaluate the ability to detect emotions from human facial
expressions via facial recognition technologies and analyze the effectiveness of deep …
expressions via facial recognition technologies and analyze the effectiveness of deep …
Recognition of facial emotion based on SOAR model
M Ramzani Shahrestani, S Motamed… - Frontiers in …, 2024 - frontiersin.org
Introduction Expressing emotions play a special role in daily communication, and one of the
most essential methods in detecting emotions is to detect facial emotional states. Therefore …
most essential methods in detecting emotions is to detect facial emotional states. Therefore …
[HTML][HTML] Emotion-net: Automatic emotion recognition system using optimal feature selection-based hidden markov CNN model
BH Krishna, JSR Victor, GS Rao, CRK Babu… - Ain Shams Engineering …, 2024 - Elsevier
Emotion recognition plays a crucial role in understanding human behaviour and improving
human–computer interaction. However, the conventional methods were failed to detect the …
human–computer interaction. However, the conventional methods were failed to detect the …
[PDF][PDF] Facial Expressions Decoded: A Survey of Facial Emotion Recognition
Facial emotion recognition is a process that involves detecting and interpreting emotions
from facial expressions. This field draws from a range of disciplines, including computer …
from facial expressions. This field draws from a range of disciplines, including computer …
Recognizing Emotions from Physiological Data in a Eeg Signals Using a Novel Deep Learning Technique
R Nandakumar, S Deivanayagi, SPA Kirubha… - Circuits, Systems, and …, 2025 - Springer
Emotions have a significant effect on daily living and they are linked to physical as well as
mental wellness. People use words, noises, body language and facial expressions to …
mental wellness. People use words, noises, body language and facial expressions to …
Faster Region Convolutional Neural Network (FRCNN) Based Facial Emotion Recognition.
J Sheril Angel, A Diana Andrushia… - Computers …, 2024 - search.ebscohost.com
Facial emotion recognition (FER) has become a focal point of research due to its
widespread applications, ranging from human-computer interaction to affective computing …
widespread applications, ranging from human-computer interaction to affective computing …