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

You Might Also Like
Eptura Workplace Software Icon
Eptura Workplace Software

From desk booking and visitor management, to space planning and office utilization data, Eptura Workplace helps your entire organization work smarter.

With the world of work changed forever, it’s essential to manage your workplace and assets together to effectively create a high-performing environment. The Eptura experience combines the power of workplace management software with asset management, enabling you to effectively operate your building and facilitate hybrid work.
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