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An interactive system to improve cognitive abilities using electromyographic signals

Abstract:

This article presents a system for improving people's cognitive abilities using electromyography (EMG) signals. This system was created under the serious game mode with a new way of interaction with the user. The sensor Myo Armband was used to measure the EMG signals, which sends the signals via Bluetooth to a Hand Gesture Recognition Model based on a Support Vector Machine to detect the gesture made by the player. This Hand-Gesture Recognition Model was developed in Matlab 2020a. The correct commands given by the recognition model are sent to another computer through the TCP / IP communication protocol to visualize the effects on the game character. The game was developed with the Unity 3D graphics engine to generate an application that optimizes resources. The objective of the game is to solve mazes with two levels of difficulty which allow improving cognitive skills such as attention, concentration, observation, abstract thinking, psycho-motor skills and problem solving.