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Vision-Controlled Hand Gesture Recognition System for Home Automation

Authors:
Luis Gilberto Rangel Pérez
Rodolfo Omar Dominguez Garcia
Miriam González Dueñas
Miguel Angel de la Torre Gómora

Keywords: Assistive technology, hand gesture recognition, home automation, Raspberry_Pi, accessibility.

Abstract:
The increasing need to support elderly individuals and people with disabilities has driven the development of innovative assistive technologies that enhance independence and improve quality of life. This manuscript presents a gesture-controlled home automation system that allows users to intuitively operate household devices, such as lights and blinds, without physical contact. The architecture of the proposed system is supported by a Raspberry_Pi 4, with OpenCV and MediaPipe for real-time hand gesture recognition. The system interprets commands and executes corresponding actions on connected devices, taking advantage of finger positions. Unlike traditional automation solutions that rely on voice commands or touch interfaces, this approach offers an accessible and hygienic alternative, particularly beneficial for individuals with mobility or speech impairments. The system exhibits high accuracy, rapid response times, and user-friendly operation, making it a cost-effective and scalable solution for smart home applications. This is achieved through the integration of low-cost devices and open-source libraries. Through this work, we contribute to the advancement of inclusive and contactless technology, fostering greater autonomy and accessibility in everyday living environments.

Pages: 25 to 32

Copyright: Copyright (c) IARIA, 2025

Publication date: May 18, 2025

Published in: conference

ISSN: 2308-4138

ISBN: 978-1-68558-268-5

Location: Nice, France

Dates: from May 18, 2025 to May 22, 2025