Human-Computer Interaction Using Manual Hand Gestures in Real Time

Author:

Alsaffar Mohammad1ORCID,Alshammari Abdullah1ORCID,Alshammari Gharbi1ORCID,Almurayziq Tariq S1ORCID,Aljaloud Saud1ORCID,Alshammari Dhahi1,Belay Assaye2ORCID

Affiliation:

1. University of Ha’il, College of Computer Science and Engineering, Department of Computer Science and Information, Ha’il, Saudi Arabia

2. Department of Statistics, Mizan-Tepi University, Tepi, Ethiopia

Abstract

This paper describes the construction of an electronic system that can recognise twelve manual motions made by an interlocutor with one of their hands in a situation with regulated lighting and background in real time. Hand rotations, translations, and scale changes in the camera plane are all supported by the implemented system. The system requires an Analog Devices ADSP BF-533 Ez-Kit Lite evaluation card. As a last stage in the development process, displaying a letter associated with a recognized gesture is advised. However, a visual representation of the suggested algorithm may be found in the visual toolbox of a personal computer. Individuals who are deaf or hard of hearing will communicate with the general population thanks to new technology that connects them to computers. This technology is being used to create new applications.

Publisher

Hindawi Limited

Subject

General Mathematics,General Medicine,General Neuroscience,General Computer Science

Reference29 articles.

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Real-Time View Assistance for the Blind using Image Processing;Journal of Innovative Image Processing;2024-06

2. Hand Gesture Based Food Ordering System;2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS);2023-10-18

3. Retracted: Human-Computer Interaction Using Manual Hand Gestures in Real Time;Computational Intelligence and Neuroscience;2023-09-20

4. Effective Gesture-Based Framework for Capturing User Input;Computational Vision and Bio-Inspired Computing;2023

5. Computer Vision Techniques for Hand Gesture Recognition: Survey;Communications in Computer and Information Science;2023

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