A three-step approach towards experimental brain-computer-interfaces, based on the OCZ nia device for EEG-data acquisition and artificial neural networks for signal-interpretation.

Features

  • EEG-data acquisition via the OCZ nia device (using pyNIA-code)
  • Neural Networks derived from evolutionary programming (using FANN)
  • Simple GUIs (using WX)

Project Samples

Project Activity

See All Activity >

Categories

HMI, Machine Learning

License

MIT License

Follow BCI Project Triathlon

BCI Project Triathlon Web Site

Other Useful Business Software
AI-powered service management for IT and enterprise teams Icon
AI-powered service management for IT and enterprise teams

Enterprise-grade ITSM, for every business

Give your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
Try it Free
Rate This Project
Login To Rate This Project

User Ratings

★★★★★
★★★★
★★★
★★
1
0
0
0
0
ease 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5
features 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5
design 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5
support 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5

User Reviews

  • Thanks for Triathlon, it's wonderful!
    1 user found this review helpful.
Read more reviews >

Additional Project Details

Intended Audience

Advanced End Users, Developers

User Interface

wxWidgets

Programming Language

Python

Related Categories

Python HMI Software, Python Machine Learning Software

Registered

2009-09-15