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wheelchair

This page contains the supplementary material for the ECC24 paper under review:

"Automatic Control of Wheelchair using a Brain Computer Interface and Real-time Decision-making"

by Frida Heskebeck and Pex Tufvesson. November 2023.

Department of Automatic Control, Lund University, Lund, Sweden.

Abstract

In this study, we simulate the automatic control of an electric wheelchair for indoor Pac-Man-style navigation using solely thought commands. We delve into the decision-making mechanisms of an operational EEG-based brain computer interface that employs a visual oddball paradigm. We investigate the optimization of decision-making speed while maintaining a defined error rate. Furthermore, we explore methodologies to decrease the user’s cognitive load by reducing the number of stimuli needed before an action.

Supplementary material

Source code for reproducing simulations and plots: Heskebeck_Tufvesson_Wheelchair_simulation_files_6Nov2023.zip

Questions? frida [dot] heskebeck [at] control [dot] lth [dot] se

6 Nov 2023