Real-time data analysis of brainwaves in the cloud. Detect patterns and map your mind states to actions.

The EEG data (brainwaves) currently comes from the OpenBCI board - an affordable open-source EEG headset. In reality, you can virtualy send any data to cloudbrain. For more info, see Getting Data Into CloudBrain. Currently, there is only one connector type (the OpenBCI connector - See utils/udp_server.py). But since these connectors are vey easy to make, I am hopping to have more biosensors feeding CloudBrain with data soon. For example, the breathing sensor Spire would be a good one.

There is a live demo of Cloudbrain available at cloudbrain.rocks. For uploading brainwaves into Cloubdrain, see next section.

1. cd utils
2. run udp_server.py to send openBCI brain waves data via UDP.

Note: Make sure that pipeline (the data pipeline) is listening on the same port as the one used by OpenBCI UDP Server :-)

1. sudo pip install -r requirements.txt for the easy bits

2. Install numpy, scipy, pandas, patsy, statsmodels, msgpack_python in that order.

3. You may have trouble with SciPy. If you're on a Mac, try:

• sudo port install gcc48
• sudo ln -s /opt/local/bin/gfortran-mp-4.8 /opt/local/bin/gfortran
• sudo pip install scipy

On Debian, apt-get works well for Numpy and SciPy. On Centos, yum should do the trick. If not, hit the Googles, yo.

3. cp src/settings.py.example src/settings.py

4. Add directories:

sudo mkdir /var/log/cloudbrain
sudo mkdir /var/run/cloudbrain
sudo mkdir /var/log/redis
sudo mkdir /var/dump/

5. Download and install the latest Redis release

6. Start 'er up

• cd cloudbrain/bin
• sudo redis-server redis.conf
• sudo ./pipeline.d start
• sudo ./analyzer.d start
• sudo ./webapp.d start

By default, the webapp is served on port 1500.

9. Check the log files to ensure things are running.

• If you already have a Redis instance running, it's recommended to kill it and restart using the configuration settings provided in bin/redis.conf

• Be sure to create the log directories.

Of course not. You've got no data! For a quick and easy test of what you've got, run this:

cd utils
python seed_data.py

This will ensure that the pipeline service is properly set up and can receive data.

Once you get real data flowing through your system, the Analyzer will be able start analyzing for anomalies!

##Licence CloudBrain's backend is an adaptation from Skyline, a monitoring tool for cloud infrastructures. The MIT licence of Skyline is included here.