Prototipo de sistema de alerta de nivel de sueño basado en medición de concentración y relajación utilizando Neurosky Mindset
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Fecha
2017
Profesor/a Guía
Facultad/escuela
Idioma
es
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Editor
Universidad Andrés Bello
Nombre de Curso
Licencia CC
Licencia CC
Resumen
El siguiente proyecto se presenta como un prototipo experimental para un
sistema de monitoreo en tiempo real de la actividad cerebral de conductores con
el fin de detectar el nivel de sueño y atención en la ruta durante la conducción de
un vehículo, como por ejemplo buses o camiones.
Dicho sistema se llevará a cabo obteniendo los valores del estado de atención y
relajación del conductor mediante el sensor Neurosky con la función de registrar
las señales EEG.
El sistema se encargará de estimar el nivel de sueño del conductor en base a los
niveles de atención y relajación y las veces que parpadea en cierto tiempo, al
llegar a un nivel preocupante el sistema emitirá una pequeña alarma y alertará al
conductor de la situación, de la misma forma, al llegar a un estado crítico de
sueño el sistema emitirá una alarma a mayor nivel y sugerirá al conductor
descansar antes de seguir con su trabajo.
El prototipo contará con el microcomputador Raspberry Pi en el control que se
encargará de procesar los datos del Neurosky y además de enviar los datos
obtenidos además de las coordenadas de GPS a un servidor mediante una red
3G para el monitoreo remoto y verificación de estado del conductor.
Las pruebas del prototipo se llevaron a cabo realizando un trayecto en vehículo
por la ruta 5 Sur entre San Carlos, Ñuble y Santiago, con casi 400 Km de ruta y
más de 4 horas de viaje para verificar si se activan las alarmas correspondientes
y si el sistema es capaz de registrar todos los datos necesarios durante el viaje.
Los resultados arrojaron los valores de alerta alta y baja correspondientes,
además de que creo un registro completo de todos los datos obtenidos en el
trayecto, salvo por pequeños problemas de comunicación con la base de datos
por problemas de señal en la carretera.
The following project is presented as an experimental prototype for a system of real-time monitoring of the brain activity of drivers in order to detect the level of sleep and attention on the route during the driving of a vehicle, whether buses or trucks. Said system will be carried out by obtaining the values of the driver's attention and relaxation state by means of the Neurosky sensor with the function of registering the EEG signals. The system will be responsible for estimating the level of sleep of the driver based on the levels of attention and relaxation and the times that blink at a certain time, when reaching a worrying level the system will emit a small alarm and alert the driver of the situation, In the same way, upon reaching a critical state of sleep, the system will issue an alarm at a higher level and suggest the driver rest before continuing with his work. The prototype will have the Raspberry Pi microcomputer in the control that will be responsible for processing the Neurosky data and in addition to sending, the data obtained in addition to the GPS coordinates to a server through a 3G network for remote monitoring and verification of driver status. The tests of the prototype were carried out making a vehicle trip on “Ruta 5 Sur”between San Carlos, Ñuble and Santiago, with almost 400 km of route and more than 4 hours of travel to verify if the corresponding alarms are activated and if the system is able to record all the necessary data during the trip. The results showed the corresponding high and low alert values, as well as creating a complete record of all the data obtained in the journey, except for small communication problems with the database due to signal problems on the road.
The following project is presented as an experimental prototype for a system of real-time monitoring of the brain activity of drivers in order to detect the level of sleep and attention on the route during the driving of a vehicle, whether buses or trucks. Said system will be carried out by obtaining the values of the driver's attention and relaxation state by means of the Neurosky sensor with the function of registering the EEG signals. The system will be responsible for estimating the level of sleep of the driver based on the levels of attention and relaxation and the times that blink at a certain time, when reaching a worrying level the system will emit a small alarm and alert the driver of the situation, In the same way, upon reaching a critical state of sleep, the system will issue an alarm at a higher level and suggest the driver rest before continuing with his work. The prototype will have the Raspberry Pi microcomputer in the control that will be responsible for processing the Neurosky data and in addition to sending, the data obtained in addition to the GPS coordinates to a server through a 3G network for remote monitoring and verification of driver status. The tests of the prototype were carried out making a vehicle trip on “Ruta 5 Sur”between San Carlos, Ñuble and Santiago, with almost 400 km of route and more than 4 hours of travel to verify if the corresponding alarms are activated and if the system is able to record all the necessary data during the trip. The results showed the corresponding high and low alert values, as well as creating a complete record of all the data obtained in the journey, except for small communication problems with the database due to signal problems on the road.
Notas
Tesis (Ingeniero en Automatización y Robótica)
Palabras clave
Conducción de Automóviles, Medidas de Seguridad, Innovaciones Tecnológicas