Virtual Air Canvas
Abstract
An important development in human-computer
interaction is this creative use of open-source frameworks to
create gesture-controlled whiteboard technology. The device
allows users to interact with a virtual whiteboard using natural
gestures by utilizing advanced computer vision algorithms for
hand tracking and interpretation. This strategy enhances
relationships and interactions by fostering new forms of
communication in addition to expanding upon conventional
writing techniques. The system improves accessibility and
provides opportunities for people with a range of communication
challenges by utilizing contemporary technology. Its ability to
improve people’s quality of life by providing new channels for
communication and giving them new tools for expression and
involvement is highlighted by its contribution to the changing
field of human-computer interaction.
Keywords:
Data Processing, Handmark Estimation, Computer Vision algorithms, MediaPipe, OpenCVPublished
Issue
Section
License
Copyright (c) 2024 International Journal on Emerging Research Areas

This work is licensed under a Creative Commons Attribution 4.0 International License.
All published work in this journal is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Similar Articles
- Jannies Varghese, Hariprasad Prasanth, Blessy Mariam Babu, Chris Joseph, Bini M Issac, Deep Learning Techniques for Image Steganography: A Comprehensive Review , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- Adithya Raj, Jibin Gigi, Lidiya Reju, Manu Emmanuel, Smitha Jacob, Footage Analysis Toolkit: A System for Semantic Video Retrieval and Structured Forensic Analysis , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- Don Joseph, Fiyona Ann Sojan, Jimmy Mathew, Jobin Jomy Mathew, Bibin Varghese, A Review on Image and Video Processing with IoT-Enabled Supervised Learning for Intelligent Surveillance Systems , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- Rhea Maria James, Richy Sara George, Sayooj Kumar M, Nihal Muhammed Ayoob, Shan Krishna, Tintu Alphonsa Thomas, A Machine Learning Framework for Tumour Classification Using Transcriptomic and Multi-Omics Datasets , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- Sandra Saji, Melbin Mathew, Angel Mariya S, Amrutha Mugesh, Jincy Lukose, MACHINE LEARNING FOR DETECTION AND PREDICTION OF TOMATO LEAF DISEASES , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Adithya Raj, Jibin Gigi, Lidiya Reju, Manu Emmanuel, Smitha Jacob, Footage Analysis Toolkit: A System for Semantic Video Retrieval and Structured Forensic Analysis , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- M Midhun, Sangeetha Tony, Tibin Abraham, B Vyshnav, ACCIDENT DETECTION USING VIDEO SURVEILLANCE , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Devasena S K, Diya Elizabeth Sibi, Diya Nair, Gayathri Sreekumar, Lini Ickappan, PulsePatch: A Wearable ECG Patch for Real-Time Arrhythmia Detection and Remote Cardiac Monitoring , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- Nikita Niteen , Simy Mary Kurian, Exploring Explainable AI, Security and Beyond : A Comprehensive Review , International Journal on Emerging Research Areas: Vol. 3 No. 2 (2023): IJERA
- Athira Sankar, Sajishma S R, Alan Raj, Vaishnavi A K, Reshmi S Kaimal, Hydro Sense: Empowering Water Quality Monitoring Through IoT And ML , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
You may also start an advanced similarity search for this article.
