Hand Gesture Recognition Using Deep Learning Techniques-Review
Hand gesture recognition is a crucial component of human-computer interaction (HCI), enabling natural and contactless interaction with digital systems. Various methods, including image processing, machine learning, and deep learning, have been explored to improve accuracy and real-time performance. This paper presents a comprehensive review of ten recent research papers on hand gesture recognition. A comparative analysis is conducted based on factors such as technology used, dataset, accuracy, and key findings. The study highlights advancements, existing challenges, and potential future developments in the field of hand gesture recognition. Keywords Hand Gesture Recognition, Human-Computer Interaction (HCI), Machine Learning, Deep Learning, Real-Time Performance, Image Processing.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-05-23
- DOI
- https://doi.org/10.5281/zenodo.15532298
- Primary Topic
- Hand Gesture Recognition Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00