- Version: 0.0.1dev
This README would normally document whatever steps are necessary to get this application up and running. Currently the app is under development.
Module to access NeuroSKY Mindwave devices from Python code.
MindWave is a device allowing to capture raw and also pre-processed EEG data. It is quite limited because there is only one sensor, but it's fine for some experiments.
The device connects via Bluetooth to the computer. There is a low-level COM and a nice socket based protocol. Data can be read as Json string and therefore easily processed using Python.
Currently SQLite is used for persistence. A graphs of the captured data based on matplotlib are provided.
There is no regular setup yet, just a view hints.
The device needs to be installed. ThinkGearConnector is used for communication, so it must be started before running mind monitor.
See the constants at top of `mindwave_interface` for configuration.
- Python 3.5
- matplotlib
- Sphinx (for doc generation only)
- nose (for tests only)
- behave (for tests only)
- sqlite3
- tkinter
- genutils
The database will be created on demand.
See `monitor_sqlite.py`.
There are tests written for behave and others using pyunit that may be run with nose.
python3 setup.py install
`mind_monitor.monitor_app.py` will pop up a simple UI.
- Currently features available via UI:
- Control recording of EEG data.
- Plot recorded session data. (all eegPower records)
#### Writing tests
Behavioral tests shall be written using behave. Those tests are blackbox tests; they are expected to respect the API of the unit under test. This helps to refactor the implementation without breaking the tests.
Sometimes it is useful to peek into a class for more detailed tests. These are called whitebox tests and shall be written using pyunit.
Obviously white box tests may break during refactoring. Therefore the use of blackbox tests is the preferred way to go.
- PEP 8 codestyle
- Pylint
- Copyright 2014, 2015, Stefan Braun
- License: MIT