Contact: carolina [dot] bergeling [at] control [dot] lth [dot] se
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This thesis attempts to implement a library in pure Python for building real-time Brain-Computer Interface (BCI) systems. The library does this by employing nodes containing data transformation methods—filtering, classification, data acquisition, and more. These nodes are linked together to create pipelines of nodes in which data flows. Due to the asynchronous nature of the data flow the library was named Simple Asynchronous Pipeline Framework (SAPF). Moreover, a demonstration BCI was also built using SAPF. In parallel with this, a small game application is built which the specific BCI system was built to control. At first eye-movements were considered as a user command for controlling the example BCI system. However, in a later phase this was changed to eye-blinks and jaw clenching.
Carolina Bergeling, Dept. of Automatic Control, LTH
Frida Heskebeck, Dept. of Automatic Control, LTH
Bo Bernhardsson, Dept. of Automatic Control, LTH
The seminar will be held in Zoom at https://lu-se.zoom.us/j/63068205176
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