This is the accompanying code repository for the work “PEARL: Physical Environment based Augmented Reality Lenses for In-Situ Human Movement Analysis” by Weizhou Luo, Zhongyuan Yu, Rufat Rzayev, Marc Satkowski, Stefan Gumhold, Matthew McGinity, and Raimund Dachselt.
This work will be presented at the ACM CHI 2023 conference and published as Open Access in the ACM DL (see https://doi.org/10.1145/3544548.3580715).
For more information about the research, see our project website https://imld.de/PEARL
Feel free to cite our CHI '23 paper if our work benefits your research.
@inproceedings{10.1145/3544548.3580715,
author = {Luo, Weizhou and Yu, Zhongyuan and Rzayev, Rufat and Satkowski, Marc and Gumhold, Stefan and McGinity, Matthew and Dachselt, Raimund},
title = {Pearl: Physical Environment Based Augmented Reality Lenses for In-Situ Human Movement Analysis},
year = {2023},
isbn = {9781450394215},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3544548.3580715},
doi = {10.1145/3544548.3580715},
booktitle = {Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems},
articleno = {381},
numpages = {15},
keywords = {Immersive Analytics, physical referents, augmented/mixed reality, affordance, In-situ visualization, movement data analysis},
location = {Hamburg, Germany},
series = {CHI '23}
}
PEARL is a mixed-reality approach to analysis human movement data in situ. Our work aims to enrich the repertoire of in-situ analysis strategies by visualizing and interacting with the physical surroundings in the same space as the data being recorded. This repository contains the prototype implementation of our proposed Pearl components (Selector, Filter, and Visualizer) and their corresponding functionalities in our ACM CHI 2023 paper. Here you can find an example dataset pearl_data.
This prototype is implemented for Microsoft HoloLens 2 HMD by using Unity 3D, MRTK, and available open-source toolkits, including u2Vis https://github.com/imldresden/u2vis and MIRIA https://github.com/imldresden/miria. It is being developed for research use. It may contain bugs, including critical security flaws. Do not use this prototype for mission critical purposes.