Bachelor and Master Theses

To apply for conducting this thesis, please contact the thesis supervisor(s).
Title: Real-time system feedback delay
Subject: Computer science, Robotics, Dependable Aeronautics and aerospace
Level: Advanced
Description:

The human brain typically integrates a rich variety of feedback in order to adapt and control behavior. Providing a person with feedback based on his/her performance on a specific task has been shown to create a powerful mean to adapt and learn that specific task (Carmena et al., 2003). However, the delay of this feedback has been shown critical for learning (Belinskaia et al., 2020).

This project aims at investigating the time delay in a real-time feedback system and how this delay impacts learning to control that feedback. The project is part of an ongoing research project aiming to develop novel rehabilitation technology using a closed-loop neurofeedback system. The student will run a series of experiments on human test subjects that will allow us to answer several crucial questions that will advance rehabilitation engineering and develop more efficient feedback protocols.

If interested, don't hesitate to contact Elaine Åstrand at elaine.astrand@mdu.se

Supervisors: Elaine Åstrand (assistant: Joana Silva, Martin Johansson)

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Prerequisites:

Proficient in labview, matlab and signal processing.

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