%0 Generic %1 rack2023motionlearningtoolbox %A Rack, Christian %A Schach, Lukas %A Latoschik, Marc %D 2023 %K myown schach schell %T Motion Learning Toolbox – A Python library for preprocessing of XR motion tracking data for machine learning applications %U https://github.com/cschell/Motion-Learning-Toolbox %X The Motion Learning Toolbox is a Python library designed to facilitate the preprocessing of motion tracking data in extended reality (XR) setups. It's particularly useful for researchers and engineers wanting to use XR tracking data as input for machine learning models. Originally developed for academic research targeting the identification of XR users by their motions, this toolbox includes a variety of data encoding methods that enhance machine learning model performance.

@misc{rack2023motionlearningtoolbox, abstract = {The Motion Learning Toolbox is a Python library designed to facilitate the preprocessing of motion tracking data in extended reality (XR) setups. It's particularly useful for researchers and engineers wanting to use XR tracking data as input for machine learning models. Originally developed for academic research targeting the identification of XR users by their motions, this toolbox includes a variety of data encoding methods that enhance machine learning model performance.}, added-at = {2023-10-16T19:32:05.000+0200}, author = {Rack, Christian and Schach, Lukas and Latoschik, Marc}, biburl = {https://www.bibsonomy.org/bibtex/215ea38da1f9984a58895aef77ca9f988/hci-uwb}, description = {Python library for preprocessing of XR motion tracking data for machine learning applications.}, howpublished = {GitHub Repository}, interhash = {cc44fafca3941248656df197a1a5089c}, intrahash = {15ea38da1f9984a58895aef77ca9f988}, keywords = {myown schach schell}, timestamp = {2024-11-21T09:27:11.000+0100}, title = {Motion Learning Toolbox – A Python library for preprocessing of XR motion tracking data for machine learning applications}, url = {https://github.com/cschell/Motion-Learning-Toolbox}, year = 2023 }