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, OpenCV
Published
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
- Krishnendu B, Sreelakshmi A, Sumayya Maheen, Zameel Hassan, Honey Joseph, Chatbot-Enabled Symptom Assessment: Revolutionizing Disease Diagnosis and Patient Care , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Dr.Jacob John, Aadhi Lakshmi M R, Alan Thomas Shaji, Alphonsa Francis, Adithyan Suresh Kumar, An Idea Sharing and Validation Platform Using Blockchain with Delegated Proof of Contribution (DPoC) , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Dr.Jacob John, Alan Thomas Shaji, Adithyan Suresh Kumar, Aadhi Lakshmi M R, Alphonsa Francis, An Idea Sharing and Validation Platform Using Blockchain with Delegated Proof of Contribution (DPoC) , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Melvin Tom Varghese, Joseph V S, Kevin Chacko, Johns Benny, Tintu Alphonsa Thomas, Crop Recommendation System using Machine Learning and IoT , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Jyothis Joseph, Angeetha Raju, Aparna Santhosh, Ashitha Jenish, K S Minu, Survey on Fake Profile Detection in Social Media , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Aleena Joseph, Diya Paramesh G, Elza Mary Thomas, Gayathri V, Anu V Kottath, A Review on Comparison of VGG-16 and DenseNet algorithms for analysing brain tumor in MRI image , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): 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
- Amal P Varghese , Juby Mathew, Advancements in Vehicular Communication Systems: Integrating IoT, Edge Cloud Computing, Microgrid Energy Management, Blockchain, AI, and Simulation Tools , International Journal on Emerging Research Areas: Vol. 3 No. 2 (2023): IJERA
- Goutham P Raj, Gregan George, Hadii Hasan, John Ashwin Delmon, V Pradeeba, COMPREHENSIVE VEHICLE SERVICES & E-COMMERCE PLATFORM WITH PRICE PREDICTION USING ML , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Dipjyoti Deka, Rituparna Seal, Shubham Banik, Unmasking Fraudulent Job Ads: A Critical Review of Machine Learning Techniques for Detecting Fake Jobs , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
You may also start an advanced similarity search for this article.