Aplicación móvil como herramienta para la visualización e identificación de datos relacionados a las lecturas de señales EEG proporcionadas por el dispositivo emotiv insight

Abstract

The emotional and mental state of a person greatly influences the performance of the activities that they must carry out in their daily life. These states are possible to identify thanks to EEG reading devices such as Emotiv Insight, Neurosky Mindwave or Muse headbands, to name a few. There are different types of brain waves, each representing different mental states (such as depression, anxiety, stress) and emotional (such as fear, happiness, among others). These signals can be identified using EEG devices such as the Emotiv Insight, used for the development of this work. The main objective of this work is the development of an application that allows identifying relevant information from the brain waves detected through the Insight headband. The application developed in Flutter takes the data provided by Python, which in turn is in charge of managing and processing the Raw data of the signals, to teach them to the end user through the interface.