Optimizing the Next Generation Brain Computer Interfaces using Cloud Computing
The project aims to imporve EEG-based Brain Computer Interfaces (BCI) with machine learning, control, and cloud computing. A two-year goal is to implement an application that can be used in real-time, in real-life.
The aim of the project is to be able to control things with only the signals from the brain.
|Effective start/end date||2019/08/05 → 2024/08/01|
- Frida Heskebeck - Department of Automatic Control (Researcher)
- Bo Bernhardsson - Department of Automatic Control - ELLIIT: the Linköping-Lund initiative on IT and mobile communication (Supervisor)
- Carolina Bergeling - Department of Automatic Control - ELLIIT: the Linköping-Lund initiative on IT and mobile communication (Assistant supervisor)
- Tore Hägglund - Department of Automatic Control (Assistant supervisor)
2015/10/01 → 2029/12/31