Hand gesture sign language recognition embedded with arduino uno
This manuscript examined the research on the work that investigates the integration of sign language into a hand gesture recognition system that relies on vision. The review's findings indicate that the field of the study of hand gesture recognition using eyesight is dynamic, with several investigations carried out and dozens of articles published yearly in journals. Three crucial elements of the vision-based hand gesture recognition system, notably hand gesture representation, were the focus of the majority of these studies. Deep learning methods with an arduino uno r3 for hand gesture recognition. An accelerometer sensor on the arduino uno r3 records dynamic hand movement data. After being sent to a computer, this sensor data is processed by a deep learning model that has been trained to identify particular motions. We practice word-by-word modeling rather than two-word, two-line training.further more, the manuscript delves into a practical implementation using an arduino uno r3 and deep learning.
Authors
- Bhavesh Suthar
- Kajol Patel
- Syed Ibad Ali (ORCID: https://orcid.org/0000-0001-6312-6768)
Institutions
- Parul University (IN)
Publication Details
- Journal
- IET conference proceedings.
- Published
- 2025-06-27
- DOI
- https://doi.org/10.1049/icp.2025.1565
- Primary Topic
- Hand Gesture Recognition Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00