Skip to content

AVI2024 Paper "Optimizing Visual Complexity for Physiologically-Adaptive VR Systems: Evaluating a Multimodal Dataset using EDA, ECG and EEG Features"

License

Notifications You must be signed in to change notification settings

mimuc/avi24-adaptation-dataset

Repository files navigation

avi24-adaptation-dataset

This repository contains the analyzing scripts for AVI 24 Paper "Optimizing Visual Complexity for Physiologically-Adaptive VR Systems: Evaluating a Multimodal Dataset using EDA, ECG and EEG Features".

To run the scripts, download the dataset from here and place the dataset in the data folder.

The figures reported in the paper can be found in the figures folder.

Licenses and Citation

Copyright © 2024. LMU Munich Media Informatics Group. All rights reserved.

The contained "source code" (i.e., Python scripts and Jupyter Notebooks) of this work is made available under the terms of GNU GPLv3.

About

AVI2024 Paper "Optimizing Visual Complexity for Physiologically-Adaptive VR Systems: Evaluating a Multimodal Dataset using EDA, ECG and EEG Features"

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published