[HTML][HTML] Emotions matter: A systematic review and meta-analysis of the detection and classification of students' emotions in stem during online learning

A Anwar, IU Rehman, MM Nasralla, SBA Khattak… - Education …, 2023 - mdpi.com
In recent years, the rapid growth of online learning has highlighted the need for effective
methods to monitor and improve student experiences. Emotions play a crucial role in …

Data fusion in neuromarketing: Multimodal analysis of biosignals, lifecycle stages, current advances, datasets, trends, and challenges

MQ Pérez, ETM Beltrán, SL Bernal, EH Prat… - Information …, 2024 - Elsevier
The primary goal of any company is to increase its profits by improving both the quality of its
products and how they are advertised. In this context, neuromarketing seeks to enhance the …

Early detection of depression through facial expression recognition and electroencephalogram-based artificial intelligence-assisted graphical user interface

G Kumar, T Das, K Singh - Neural Computing and Applications, 2024 - Springer
Psychological disorders have increased globally at an alarming rate. Among these
disorders, depression stands out as one of the leading and most prevalent conditions that …

[HTML][HTML] A feature boosted deep learning method for automatic facial expression recognition

T Podder, D Bhattacharya, P Majumder… - PeerJ Computer …, 2023 - peerj.com
Automatic facial expression recognition (FER) plays a crucial role in human-computer based
applications such as psychiatric treatment, classroom assessment, surveillance systems …

Hybrid heuristic mechanism for occlusion aware facial expression recognition scheme using patch based adaptive CNN with attention mechanism

AR Prasad, A Rajesh - Intelligent Decision Technologies, 2023 - content.iospress.com
In computer vision, the recognition of expressions from partially occluded faces is one of the
serious problems. By the prior recognizing techniques it can solve the issue by various …

The Implementation of Transfer Learning by Convolution Neural Network (CNN) for Recognizing Facial Emotions

AP Munanday, N Sazali, A Asogan… - … in Applied Sciences …, 2023 - semarakilmu.com.my
The primary objective of this study is to develop a real-time system that can predict the
emotional states of an individual who commonly undergoes various experiences. The …

FERFM: An Enhanced Facial Emotion Recognition System Using Fine-tuned MobileNetV2 Architecture

S Kaur, N Kulkarni - IETE Journal of Research, 2023 - Taylor & Francis
Deep learning techniques have recently drawn a lot of attention towards automatic facial
emotion recognition (FER) applications such as diagnosis of psychiatric disorders, mental …

Driver emotion recognition based on attentional convolutional network

X Luan, Q Wen, B Hang - Frontiers in Physics, 2024 - frontiersin.org
Unstable emotions, particularly anger, have been identified as significant contributors to
traffic accidents. To address this issue, driver emotion recognition emerges as a promising …

[PDF][PDF] Augmentation-Enhanced Deep Learning for Face Detection and Emotion Recognition in Elderly Care Robots

HN Tran, PH Phan, KH Nguyen, HK Hua, AQ Nguyen… - 2024 - scholar.archive.org
Facial recognition and emotion detection are crucial for meaningful interactions between
elderly individuals and healthcare robots. These technologies allow the robot to identify and …

Data Fusion In Neuromarketing: Multimodal Analysis of Biosignals, Lifecycle Stages, Current Advances, Datasets, Trends, and Challenges

M Quiles Pérez, ET Martínez Beltrán… - … Datasets, Trends, and …, 2023 - papers.ssrn.com
The primary goal of any company is to increase its profits by improving both the quality of its
products and how they are advertised. In this context, neuromarketing seeks to enhance the …