Hand Gesture Identification for Improving Accuracy Using Convolutional Neural Network(CNN)
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2022.13.247Keywords:
Hand Gesture, Machine Learning, ASL Data Set, Convolutional Neural Network;Dimensions Badge
Issue
Section
License
Copyright (c) 2022 The Scientific Temper
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Hand gestures are a type of non-verbal communication that uses visible body movements to convey important messages. This paper presents a much better approach of hand gesture prediction. Image Identification is an important step in most of the modern hand gesture prediction system. A convolutional neural network are used for improving the accuracy of the system. Proposed system tested for large number of hand gesture images using Tensor flow tool . The convolutional neural network (ConvNet) is a deep learning algorithm for learning and classifying hand gestures and achieved accuracy 93.61%.Abstract
How to Cite
Downloads
Similar Articles
- Vishakha Khambhati, Rajan Kumar Singh, Assessment of Respiratory Dynamics from ECG during Physical Exertion , The Scientific Temper: Vol. 17 No. 01 (2026): The Scientific Temper
- Sharanya Unnikrishnan, Eldhose Thomas, Arunima Dey, AI-Powered NLP in Vernacular Public Relations: Opportunities, Challenges, and Ethical Implications for India’s Multilingual Landscape , The Scientific Temper: Vol. 16 No. 10 (2025): The Scientific Temper
- R Sharmila, Nikhil S Patankar, Manjula Prabakaran, Chandra M. V. S. Akana, Arvind K Shukla, T. Raja, Recent developments in flexible printed electronics and their use in food quality monitoring and intelligent food packaging , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Bayelign Abebe Zelalem, Ayalew Ali Abebe, Dividend policy and banks’ performance: Assessing the relevance versus irrelevance theory , The Scientific Temper: Vol. 16 No. 05 (2025): The Scientific Temper
- Jasmine A, G. Arul Selvi, Structural Relationships between Social Media Usage Patterns and Value Orientation among College-Going Youth in Rural and Urban Tamil Nadu: A Structural Equation Modelling Approach , The Scientific Temper: Vol. 17 No. 02 (2026): The Scientific Temper
- Urmi Chakravorty, Social media’s detrimental outcomes on personal relationships , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- V. Karthikeyan, C. Jayanthi, Improving image quality assessment with enhanced denoising autoencoders and optimization methods , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Aakanksha Laiker, Promil Pande, Contribution of policy and regulations to enhance Transparency and Traceability in the Garment Industry , The Scientific Temper: Vol. 15 No. spl-2 (2024): The Scientific Temper
- Dinesh Chand Gupta, Tanushri Purohit, Assessment of Human Resource Practices and Employee Performance in Automobile Manufacturing Industry , The Scientific Temper: Vol. 17 No. 01 (2026): The Scientific Temper
- Rasheedha A, Santhosh B, Archana N, Sandhiya A, Foot sens - foot pressure monitoring systems , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
<< < 28 29 30 31 32 33 34 35 36 37 > >>
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- Rajesh Kumar Singh, Genetic Variability in Aromatic Rice , The Scientific Temper: Vol. 13 No. 02 (2022): The Scientific Temper
