Diseño de una WSN para la detección y alerta de caída de personas geriátricas utilizando sistema LIDAR y redes neuronales

Abstract

This project will develop a fall detection system for older adults, which will be integrated by a Wireless Sensor Network (WSN: Wireless Sensor Network), specifically with the LiDAR sensors VL53LXX-V2 and GYUL53L0X, and the ultrasonic sensor HC-SR04, which have the same operation as measure of distance for flight time. For data transmission, radio frequency technology will be used with the nrf24l01 module. The implementation and development of the neural network will be trained by, Matlab software, which with its tools will train the network and obtain the weights to then implement the neural network in C language on the Texas Instruments Tiva C card, which will simultaneously create the web server to send notifications to a specific IP address. A Basys 3 FPGA card will be used to create a 2D graphic interface since it has a VGA port which will allow connection to a monitor that has the same input port. Finally, tests will be carried out that simulate the different actions that daily living entails.