Praveen Kumar
Orcid: 0000-0003-4820-3088Affiliations:
- Visvesvaraya National Institute of Technology, Department of Computer Science and Engineering, Nagpur, India
According to our database1,
Praveen Kumar
authored at least 21 papers
between 2015 and 2024.
Collaborative distances:
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Bibliography
2024
A vision-based multi-cues approach for individual students' and overall class engagement monitoring in smart classroom environments.
Multim. Tools Appl., May, 2024
A visual intelligent system for students' behavior classification using body pose and facial features in a smart classroom.
Multim. Tools Appl., April, 2024
2023
Multimodal Depression Detection: Using Fusion Strategies with Smart Phone Usage and Audio-visual Behavior.
Int. J. Artif. Intell. Tools, March, 2023
A novel multi-modal depression detection approach based on mobile crowd sensing and task-based mechanisms.
Multim. Tools Appl., February, 2023
Fall detection approach based on combined two-channel body activity classification for innovative indoor environment.
J. Ambient Intell. Humaniz. Comput., 2023
Proceedings of the Pattern Recognition and Machine Intelligence, 2023
EngageDat-vL: A Multimodal Engagement Dataset Comprising of Emotional, Cognitive, and Behavioral Cues in Virtual Learning Environment.
Proceedings of the Pattern Recognition and Machine Intelligence, 2023
2022
Online suspicious event detection in a constrained environment with RGB+D camera using multi-stream CNNs and SVM.
Multim. Tools Appl., 2022
Fall detection method based on Spatio-temporal feature fusion using combined two-channel classification.
Multim. Tools Appl., 2022
Fall detection approach based on combined displacement of spatial features for intelligent indoor surveillance.
Multim. Tools Appl., 2022
Deep learning and RGB-D based human action, human-human and human-object interaction recognition: A survey.
J. Vis. Commun. Image Represent., 2022
An intelligent system for monitoring students' engagement in large classroom teaching through facial expression recognition.
Expert Syst. J. Knowl. Eng., 2022
A semi-supervised deep learning based video anomaly detection framework using RGB-D for surveillance of real-world critical environments.
Digit. Investig., 2022
A comparative study on SoC embedded low power GPUs for real-time edge-based automated traffic surveillance.
Concurr. Comput. Pract. Exp., 2022
Concurr. Comput. Pract. Exp., 2022
2021
J. Real Time Image Process., 2021
2020
J. Real Time Image Process., 2020
2018
Pattern Recognit. Lett., 2018
Multim. Tools Appl., 2018
2017
Proceedings of 2nd International Conference on Computer Vision & Image Processing, 2017
2015
Proceedings of the 2015 International Conference on Advances in Computing, 2015