International Journal of Leading Research Publication

E-ISSN: 2582-8010   •   Impact Factor: 9.56

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Monthly Scholarly International Journal

Call for Paper Volume 7 Issue 4 April 2026 Submit your research before last 3 days of to publish your research paper in the issue of April.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 7 Issue 4
April 2026

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Gesture Recognition Based on Wireless Control using MEMS

Author(s) M. Viswasa Rani, Ms. S. Praveen, M. Vanaja, A. Rahul Kumar Reddy, R. Vani
Country India
Abstract Gesture-based control is gaining attention as a natural way to interact with electronic systems without physical contact. This work presents the design and implementation of a wireless control system that uses a MEMS sensor to recognize hand movements and convert them into control actions. The system is built using a MEMS accelerometer, signal conditioning stage, Arduino Uno controller, LCD unit, voice feedback module, and a Wi-Fi interface for communication. The MEMS sensor senses tilt and motion of the hand and produces corresponding electrical signals. These signals are conditioned and read by the controller, where simple decision logic is applied to identify specific gestures. Each recognized gesture is linked to a predefined command, enabling control of connected devices. The LCD displays the detected gesture and system status, while the voice module provides audible confirmation, making the system easier to use. The inclusion of a Wi-Fi module allows gesture data to be transmitted wirelessly, enabling remote monitoring and interaction through an IoT platform. Experimental testing shows stable response and reliable gesture detection under normal operating conditions. The system is simple to build and does not require complex training or high computational power. It can be used in home automation, assistive applications, and basic robotic control where touch-free operation is preferred.
Keywords Gesture Recognition, MEMS Sensor, Wireless Control System, Arduino Uno, IoT Communication, Hand Gesture Interface, Accelerometer, Human–Machine Interaction, Home Automation, Voice Feedback.
Field Engineering
Published In Volume 7, Issue 4, April 2026
Published On 2026-04-04
View / Download PDF File

Share this



CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJLRP DOI prefix is
10.70528/IJLRP

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 6 Isu 12 Cover Page Vol 6 Isu 10 Cover Page Vol 6 Isu 9

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJLRP
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9687-828-838 editor@ijlrp.com