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Kinetic Signatures: A Systematic Investigation of Movement-Based User Identification in Virtual Reality

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BibTeX

@inproceedings{Liebers.KineticSignatures:ASystematicInvestigationofMovementBasedUserIdentificationinVirtualReality.2024,
  highlight_text = {This is a placeholder for your manual highlight text about Kinetic Signatures. You can edit this field in references.bib.},
  author = {Liebers, Jonathan and Laskowski, Patrick and Rademaker, Florian and Sabel, Leon and Hoppen, Jordan and Gruenefeld, Uwe and Schneegass, Stefan},
  title = {{Kinetic Signatures: A Systematic Investigation of Movement-Based User Identification in Virtual Reality}},
  pages = {1--19},
  publisher = {ACM},
  editor = {Mueller, Florian Floyd and Kyburz, Penny and Williamson, Julie R. and Sas, Corina and Wilson, Max L. and Dugas, Phoebe Toups and Shklovski, Irina},
  booktitle = {{Proceedings of the CHI Conference on Human Factors in Computing Systems}},
  year = {2024},
  address = {New York, NY, USA},
  doi = {10.1145/3613904.3642471},
  file = {Kinetic{\_}Signatures{\_}-{\_}A{\_}Systematic{\_}Investigation{\_}of{\_}Movement-Based{\_}User{\_}Identification{\_}in{\_}Virtual{\_}Reality:Attachments/Kinetic{\_}Signatures{\_}-{\_}A{\_}Systematic{\_}Investigation{\_}of{\_}Movement-Based{\_}User{\_}Identification{\_}in{\_}Virtual{\_}Reality.pdf:application/pdf},
  note = {CORE2023 Conference Rank: A*},
  image = {/assets/papers/liebers2024chi.png},
  pdf = {/assets/papers/liebers2024chi.pdf}
}

DOI

Useckit: An Open-Source Deep-Learning Toolkit Bundling State-Of-The-Art Algorithms for Evaluating Behavioral Biometrics

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@inproceedings{Liebers.Useckit:AnOpenSourceDeepLearningToolkitBundlingStateOfTheArtAlgorithmsforEvaluatingBehavioralBiometrics.2024,
  highlight_text = {This is a placeholder for your manual highlight text about Useckit. You can edit this field in references.bib.},
  author = {Liebers, Jonathan and Kley, Tristan and Liebers, Carina and Gruenefeld, Uwe and Schneegass, Stefan},
  title = {{Useckit: An Open-Source Deep-Learning Toolkit Bundling State-Of-The-Art Algorithms for Evaluating Behavioral Biometrics}},
  pages = {1--10},
  publisher = {IEEE},
  booktitle = {{2024 IEEE International Joint Conference on Biometrics (IJCB)}},
  year = {2024},
  doi = {10.1109/IJCB62174.2024.10744488},
  note = {CORE2023 Conference Rank: B},
  image = {/assets/papers/liebers2024ijcb.png},
  pdf = {/assets/papers/liebers2024ijcb.pdf}
}

DOI

Understanding User Identification in Virtual Reality Through Behavioral Biometrics and the Effect of Body Normalization

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@incollection{Liebers.UnderstandingUserIdentificationinVirtualRealityThroughBehavioralBiometricsandtheEffectofBodyNormalization.2021,
  highlight_text = {This is a placeholder for your manual highlight text about Body Normalization. You can edit this field in references.bib.},
  author = {Liebers, Jonathan and Abdelaziz, Mark and Mecke, Lukas and Saad, Alia and Auda, Jonas and Gruenefeld, Uwe and Alt, Florian and Schneegass, Stefan},
  title = {{Understanding User Identification in Virtual Reality Through Behavioral Biometrics and the Effect of Body Normalization}},
  publisher = {{Association for Computing Machinery}},
  booktitle = {{Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems}},
  year = {2021},
  address = {New York, NY, USA},
  doi = {10.1145/3411764.3445528},
  file = {3411764.3445528:Attachments/3411764.3445528.pdf:application/pdf},
  note = {CORE2023 Conference Rank: A*},
  image = {/assets/papers/liebers2021chi.png},
  pdf = {/assets/papers/liebers2021chi.pdf}
}

DOI