▷ Control of Upper and Lower Limb Prostheses using a Real-Time #EEG Signal Classification System

⭐⭐⭐⭐⭐ Control of Upper and Lower Limb Prostheses using a Real-Time #EEG Signal Classification System


 

Hey everyone!

In this work an experimental methodology was developed using OpenBCI for the acquisition of EEG signals from 24 volunteer subjects. The volunteers are work and research colleagues from ESPOL University.

EEG signal preprocessing techniques are used to eliminate noise components. In addition, feature extraction algorithms were used to extract features from each EEG electrode. Next, some classifiers were trained and those with the highest accuracy were selected. Finally, the best classifiers were used to classify motor tasks in real-time and control two active prostheses.

Read related topics

Comentarios

Popular Posts

▷ Especificaciones del módulo ESP32

▷ #ESP32 - REAL-TIME CLOCK #RTC INTERNO

▷ #ESP32 - INSTALAR LIBRERIAS DESDE GESTOR LIBRERIAS ARDUINO

▷ Data visualization: of Temperature, Humidity, and CPU Temp.

▷ SISTEMAS EMBEBIDOS, EJERCICIOS PROPUESTOS #1, 1er PARCIAL (2020 1er Término)

▷ 2019 InnovateFPGA: Artificial Neural Network based Accelerometer and Gyroscope recognition for gesture communication

▷ Instalación paso a paso de #ESP_IDF #ESPRESSIF 1/2

▷ SOLUCIÓN LECCIÓN FUNDAMENTOS DE ELECTRICIDAD Y SISTEMAS DIGITALES, 2do Parcial (2020 PAO 2) C3-4

▷ Alphabet letters recognition with #MachineLearning using #EMG #MYO device based on #FPGA

▷ Wireless Sensor Network (WSN)