Authors : Sebastián Poveda Zavala, Kelvin Ortíz Chicaiza, José Luis Murillo López,, Juan Sulca and Sang Guun Yoo
Abstract: Nowadays, Internet of Things (IoT) is becoming a major research area, since, its applications can improve people’s life. Even when its purpose is to facilitate daily tasks for everyone, it does not fully consider people with disabilities. Even voice or gesture command technologies can help most of people with disabilities, Motor Neuron Diseases (MND) patients who have lost most of their movement cannot be benefitted of such technologies. For this reason, this research aims to design and develop a scalable BCI based home automation system for people with movement disabilities which is easy to use and comfortable for the user. The proposed solution gathers signals generated by voluntary eye blinks from the FP1 electrode position and classify them on short and composed long blinks. Then, a combination of these blinks allows the user to navigate in a Graphic User Interface (GUI) of an application created to control different devices of a smart home via. MQTT protocol. Test results obtained in this work shows that the proposed system could be used in real life solutions.
Sebastián Poveda Zavala, Kelvin Ortíz Chicaiza, José Luis Murillo López,, Juan Sulca and Sang Guun Yoo, 2020. BCI Based Home Automation using User Controlled Blinks. Journal of Engineering and Applied Sciences, 15: 1377-1384.