Desarrollo de una interfaz que envíe instrucciones mediante señales cerebrales a aparatos electrónicos.

Abstract

In the field of the Internet of Things (IoT), there are multiple areas such as Home Automation and Robotics that aim to enhance people's lives. However, human interaction is essential, whether through touch or voice, posing a challenge for individuals with physical disabilities. This work proposes the creation of a prototype based on a neuro receptor, in this case, Mindflex, and a microcontroller like the ESP32, to enable the remote operation of electronic devices using electroencephalographic (EEG) signals. The interface obtained real-time visualization of brain activity and remote control of smart devices in a home using the IoT Methodology and InfluxDB, an IoT-oriented database, along with Grafana, a platform for real-time data visualization through graphs. A stable connection was established between the neuro receptor and the computer to receive data, and a prototype was created to demonstrate a Home Automation system using electroencephalography technology. The system's functionality, efficiency, and response time were supported by tests, and the results were analyzed in comparison with similar but more expensive projects.