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Automatic Control

Faculty of Engineering, LTH

Automatic Control

LTH best Master's thesis

Johanna Wilroth has been awarded the prize "LTHs Jubileumsstipendium 2020" for the best master thesis at LTH. In her thesis "Domain Adaptation for Attention Steering," Wilroth studied novel algorithms for improving the performance of hearing aids using EEG signals in combination with auditory input. The master thesis was done at the Department of Automatic Control, with Carolina Bergeling as main supervisor, in collaboration with the research center Eriksholm/Oticon in Denmark. The collaboration also involved the departments of Psychology and Mathematical Statistics at Lund University.

 

M.Sc by Andersen: Implementation of a Simple Asynchronous Pipeline Framework (SAPF) for construction of real-time BCI systems

M.Sc by Andersen

Seminarium

From: 2021-06-14 13:15 to 14:00
Place: https://lu-se.zoom.us/j/63068205176
Contact: carolina [dot] bergeling [at] control [dot] lth [dot] se
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Abstract:

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.


Student:

    Tom Andersen

Advisors:

     Carolina Bergeling, Dept. of Automatic Control, LTH

     Frida Heskebeck, Dept. of Automatic Control, LTH

Examiner:

     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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In 2020, we moved to temporary offices at KC4 in Kemicentrum. Here we will stay until 2023 while the M-building is being renovated. See "contact" (in About) for the new visiting adress.

Formula Student

The department has a collaboration with the Lund Formula Student team, who are developing a fully autonomous race car to compete in Formula Student events all across Europe. They are always looking for interested and talented team members. If you are interested in a wide variety of technologies such as neural networks, control theory, ROS, etc, please visit their website or contact them at: technical.driverless@lundformulastudent.se.