Implementación de una plataforma para medición y visualización de variables fisiológicas de una persona durante la interacción en entornos virtuales

Abstract

The project was carried out with the aim of implementing a platform to measure and visualize physiological variables during interaction in virtual environments. The main objective was to develop a system capable of acquiring data from heart rate, galvanic skin response, and eye-tracking sensors, and displaying it through an open-source user interface. Additionally, the project aimed to automate the generation of reports containing the history of these variables for interpretation by psychology professionals. To achieve this, specific sensors were integrated and configured for accurate real-time data collection. Python scripts were developed to efficiently process and store the data. The user interface was also built in Python, providing real-time graphical representations. The main results include the successful implementation of the platform, acquisition of physiological data, and automated report generation.