Facial emotion recognition based real-time learner engagement detection system in online learning context using deep learning models
The dramatic impact of the COVID-19 pandemic has resulted in the closure of physical
classrooms and teaching methods being shifted to the online medium. To make the online …
classrooms and teaching methods being shifted to the online medium. To make the online …
A multimodal facial cues based engagement detection system in e-learning context using deep learning approach
Due to the COVID-19 crisis, the education sector has been shifted to a virtual environment.
Monitoring the engagement level and providing regular feedback during e-classes is one of …
Monitoring the engagement level and providing regular feedback during e-classes is one of …
An efficient quality of services based wireless sensor network for anomaly detection using soft computing approaches
Wireless sensor network (WSN) is widely acceptable communication network where human-
intervention is less. Another prominent factors are cheap in cost and covers huge area of …
intervention is less. Another prominent factors are cheap in cost and covers huge area of …
[HTML][HTML] A machine learning-based decision support system for temporal human cognitive state estimation during online education using wearable physiological …
Over the last decade, there has been a considerable increase in the popularity of online
education. As a result, the online learning or e-learning industry has flourished, providing …
education. As a result, the online learning or e-learning industry has flourished, providing …
[HTML][HTML] EDFA: Ensemble deep CNN for assessing student's cognitive state in adaptive online learning environments
Ensuring student engagement is crucial for effective learning outcomes in any classroom
setting, including e-learning environments. However, the absence of immediate supervision …
setting, including e-learning environments. However, the absence of immediate supervision …
Attention recognition system in online learning platform using eeg signals
S Gupta, P Kumar - Emerging Technologies for Smart Cities: Select …, 2021 - Springer
The current scenario of education has been transformed from paper to paperless world. With
the advancement in technology, smart education concept, and internet access, an adaptive …
the advancement in technology, smart education concept, and internet access, an adaptive …
[HTML][HTML] An optimized deep convolutional neural network for adaptive learning using feature fusion in multimodal data
S Gupta, P Kumar, R Tekchandani - Decision Analytics Journal, 2023 - Elsevier
The outbreak of COVID-19 has caused an unprecedented increase in the usage of e-
Learning platforms. The closure of educational institutions globally has significantly …
Learning platforms. The closure of educational institutions globally has significantly …
Artificial intelligence based cognitive state prediction in an e-learning environment using multimodal data
The COVID-19 pandemic has significantly shifted how people learn, with virtual learning
becoming the norm. Students no longer need to be physically present in a specific location …
becoming the norm. Students no longer need to be physically present in a specific location …
Role of online shopping websites in consumer satisfaction based statistical analysis
Nowadays, online shopping is very popular as there are many platforms are available. To
dig into the consumer behavior for shopping there are many researchers, industries are …
dig into the consumer behavior for shopping there are many researchers, industries are …
Class Room Student Attentiveness Model based on YOLO
Online classroom discipline is a key concern for teachers now a days. The issue also attracts
significant attention from the public and the media. In addition to this using mobile phone in …
significant attention from the public and the media. In addition to this using mobile phone in …