OpenCV SIFT based Signal processing app for BCI
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Updated
May 1, 2021 - C++
OpenCV SIFT based Signal processing app for BCI
EEGnet on a microcontroller
Arduino-based robotic arm controlled by brain waves. Uses EEG data extracted from a NeuroSky board to control arm movement. 🤯
OpenViBE BCI paradigm for controlling a drone
The UniPA BCI Framework is an Augmented Brain-Computer Interface framework based on the P300 paradigm with further additional modules to perform the acquisition of eye gaze and physiological features.
The human will use BCI to participate in the multi-robot strategy selection and control a single-robot at any time. For this purpose, a specific simulation system has been developed, which composed of: a non-invasive BCI Emotiv Epoc; a Graphical User Interface (GUI) based on QT; a multi-robot simulation environment based on Gazebo (open-source 3…
Python API for Mentalab biosignal aquisition devices
neuromore Studio is your all-in-one biofeedback suite
BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors
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