Título: Home Automation System for People with Visual Impairment Controlled by Neural Frequencies

Autor(es): CUZME RODRIGUEZ FABIAN GEOVANNY, FARINANGO ENDARA HENRY PATRICIO, FLORES ARMAS STEFANY CRISTINA, MICHILENA CALDERON JAIME ROBERTO, POZO CARRILLO CRISTIAN SALVADOR, VASQUEZ AYALA CARLOS ALBERTO

Fecha de publicación: 28-jun-2024

Resumen: The autonomy of individuals with disabilities is increasingly common through the use of information and communication technologies, granting them some independence to carry out various activities in everyday environments such as homes and workplaces. This project focuses on the development and implementation of a home automation system for individuals with visual disabilities utilizing neural frequencies. Through this system, multiple actions within the home will be facilitated and communicated through a mobile application. The objective of this project was to enhance mobility, autonomy, and user safety within the home by interpreting concentration data, meditation levels, and electromyography signals. Specific desired actions such as controlling the lighting (on/off) and locking/unlocking the entrance door were targeted. As a result, a proper communication was achieved throughout the entire home automation system, demonstrating an efficiency of 98.75% across all the conducted tests. Overall, this work contributes to enabling individuals with visual disabilities to navigate their homes with greater ease, independence, and enhanced safety by leveraging the interpretation of neural frequencies and other relevant signals.

Palabras clave: Visual impairment, Neural frequencies, Mobile application, Meditation, Concentration, Electromyography, Home automation

DOI: https://doi.org/10.1007/978-3-031-63437-6_14

ISSN: 2367-3370

Tipo publicación: Artículo