Pinned Repositories
.Net-Spectrogram
.NET library for creating spectrograms (visual representations of frequency spectrum over time)
ADS1299-References
Arduino Library for the Texas Instruments ADS1299
ADS_PCB_design
arl-eegmodels
This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow
Autoencoder
Autoencoder Deep Learning model for EEG artifact removal on computers and Android smartphone
b2b-linguistic-coupling
bci.js
:bar_chart: EEG signal processing and machine learning in JavaScript
BEATS
Brainwear2.0
Traumschreiber
Repository of the Traumschreiber and all affiliated projects and theses
xinterface's Repositories
xinterface/arl-eegmodels
This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow
xinterface/biohub
USB<->ADS1299
xinterface/Brain-Computer-Interface-with-Neurosky
Brain Computer Interface (BCI) with Neurosky Mindwave Mobile 2 that enables anyone to use computer, mobilephone etc. with his/her thoughts.
xinterface/BrainBay
Open Source Biofeedback Software
xinterface/combobreaker
Motorized, portable, 3D printed, Arduino-based combination lock cracker
xinterface/DeepClassifyML
A Chest X-ray Image Classification Web App
xinterface/DeepEEG
Deep Learning with Tensor Flow for EEG MNE Epoch Objects
xinterface/EasyEEG
Concise Agile Flexible EEG data analyis toolbox
xinterface/EEG-1
Python toolbox for EEG analysis
xinterface/EEG-based-emotion-analysis-using-DEAP-dataset-for-Supervised-Machine-Learning
This project is for classification of emotions using EEG signals recorded in the DEAP dataset to achieve high accuracy score using machine learning algorithms such as Support vector machine and K - Nearest Neighbor.
xinterface/EEG-KiCAD-AD7177
xinterface/EEG-real-time-acquisition-and-power-spectrum-and-coherence-analysis
These files contemplate my scientific initiation project in digital signal processing. In this project I developed a BCI in Python using Ultracortex "Mark IV" EEG system from OpenBCI and I proposed a non-parametric analysis of data during stress tasks (Montreal and Stroop) through Welch's power spectrum and coherence estimator.
xinterface/EEG-system
A combination of a python GUI, ESP8266/arduino code and a PCB design to create a system for acquisition of biological signals
xinterface/EEGbiometrics
xinterface/eSense-Data-Visualiser
A node.js app to visualise and configure eSense sensory streams at real-time
xinterface/Free-Deep-Learning-Books
A curated collection of free Deep Learning related eBooks
xinterface/hackeeg-shield
HackEEG TI ADS1299 Arduino shield hardware design files and tools
xinterface/Lets-Chat
Simple Firebase based Android Messaging Chat App.
xinterface/magspoof
A portable device that can spoof/emulate any magnetic stripe, credit card or hotel card "wirelessly", even on standard magstripe (non-NFC/RFID) readers. It can disable Chip&PIN and predict AMEX card numbers with 100% accuracy.
xinterface/nRF52_ADS1299_EEG_2-4CH
For 2 and 4-channel SSVEP EEG
xinterface/opensesame
OpenSesame attacks wireless garages and can open most fixed-code garages and gates in seconds using a Mattel toy
xinterface/P300-CNNT
1D Convolutional Neural Networks for P300 detection from EEG signals
xinterface/PCB_nRF52_ADS1292_recharge
xinterface/physioHMD
The PhysioHMD platform introduces a software and hardware modular interface built for collecting affect and physiological data from users wearing a head-mounted display. The platform enables researchers and developers to aggregate and interpret signals in real-time and use them to develop novel, personalized interactions, as well as evaluate virtual experiences. Our design offers seamless integration with standard HMDs, requiring minimal setup effort for developers and those with less experience using game engines. The PhysioHMD platform is a flexible architecture that offers an interface that is not only easy to extend but also complemented by a suite of tools for testing and analysis. We hope that PhysioHMD can become a universal, publicly available testbed for VR and AR researchers.
xinterface/PiEEG-examples
Example python scripts for working with Pi-Naps_v0.2 (an EEG shield for Raspberry Pi)
xinterface/PiEEG_Mind_Wrestle
A two player Raspberry Pi game using the Pi-Naps EEG shield where players battle with their concentration.
xinterface/RatEEG
RatEEG is 4 channel EEG device for iSeizure project
xinterface/RatEEG-V2
“Low-cost wearable device to identify Tonic-clonic seizure using 4 channel EEG and heartbeat”
xinterface/SSVEP-BCI-OpenBCI
A Single-Channel Consumer-Grade EEG Device for Brain-Computer Interface: Enhancing Detection of SSVEP and Its Amplitude Modulation (IEEE Sensors Journal)
xinterface/Ultra-Light-Fast-Generic-Face-Detector-1MB
💎1MB lightweight face detection model (1MB轻量级人脸检测模型)