Internet of Things Enabled Smart Hand Gesture Virtual Mouse System

Title

Internet of Things Enabled Smart Hand Gesture Virtual Mouse System

Creator

Chelekkodan, Danish Muneer; Jayapandian, N.; Abhinav, S.; Shyjan, Aaron

Description

This research is aim to focus on IoT based hand gesture model. Mouse is one of the most important input devices of a computer. It works as a pointing device and allows the user to move the pointer as needed by the user. In the early days, a wired mechanical mouse was used for this purpose. In mechanical mouse a ball is fixed underneath the mouse, which rotates as the user moves the mouse. This movement of the ball is used to move the mouse pointer on the screen. Now mostly we use optical mouse which can be wired or wireless. An optical mouse has a high-power laser below it, which takes more than thousand pictures of the surface below the mouse. An image comparator compares the images and sends the signal to move the mouse pointer as the texture of the image changes. Both the types of mouse works based on old technology. As technology leaps to greater heights, the need for simplicity also increases. With the invention of different kind of sensors, microcontrollers and other electronics, we can eliminate the mouse as an input device and instead use our hands to do the work of a mouse. This prototype is an embedded system which runs with the help of an arduino microcontroller. Flex sensors are used to capture the hand gestures. The proposed IoT based hand gesture model is providing high accuracy rate compare to the regular model. The proposed model is analyzed with accuracy level, the average accuracy level of proposed model is more than 90%. 2025 IEEE.

Source

2025 IEEE 14th International Conference on Communication Systems and Network Technologies, CSNT 2025;pp.1165-1170

Date

01-01-2025

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

Arduino Controller; Computer Vision; Flex Sensors; Hand Gesture; Internet of Things; Virtual Mouse

Coverage

Chelekkodan D.M., Department of Computer Science and Engineering, Christ University, Kengeri Campus, Bangalore, India; Jayapandian N., Department of Computer Science and Engineering, Christ University, Kengeri Campus, Bangalore, India; Abhinav S., Department of Computer Science and Engineering, Christ University, Kengeri Campus, Bangalore, India; Shyjan A., Department of Computer Science and Engineering, Christ University, Kengeri Campus, Bangalore, India

Rights

Restricted Access; Hardcopy may be available in the library

Relation

ISBN: 979-833153193-5;

Format

online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/CSNT64827.2025.10968594

https://www.scopus.com/pages/publications/105004553881?origin=resultslist