In this paper, we adapt an existing VR framework for handwriting and sketching on physically aligned virtual surfaces to AR environments using the Microsoft HoloLens 2. We demonstrate a multimodal input metaphor to control the framework’s calibration features using hand tracking and voice commands. Our technical evaluation of fingertip/surface accuracy and precision on physical tables and walls is in line with existing measurements on comparable hardware, albeit considerably lower compared to previous work using controller-based VR devices. We discuss design considerations and the benefits of our unified input metaphor suitable for controller tracking and hand tracking systems. We encourage extensions and replication by providing a publicly available reference implementation (https://go.uniwue.de/hci-otss-hololens).
%0 Conference Paper
%1 kern2021using
%A Kern, Florian
%A Keser, Thore
%A Niebling, Florian
%A Latoschik, Marc Erich
%B 27th ACM Symposium on Virtual Reality Software and Technology
%C Osaka, Japan
%D 2021
%I Association for Computing Machinery
%K myown niebling vilearn
%P 1-3
%R 10.1145/3489849.3489940
%T Using Hand Tracking and Voice Commands to Physically Align Virtual Surfaces in AR for Handwriting and Sketching with HoloLens 2
%U https://doi.org/10.1145/3489849.3489940
%X In this paper, we adapt an existing VR framework for handwriting and sketching on physically aligned virtual surfaces to AR environments using the Microsoft HoloLens 2. We demonstrate a multimodal input metaphor to control the framework’s calibration features using hand tracking and voice commands. Our technical evaluation of fingertip/surface accuracy and precision on physical tables and walls is in line with existing measurements on comparable hardware, albeit considerably lower compared to previous work using controller-based VR devices. We discuss design considerations and the benefits of our unified input metaphor suitable for controller tracking and hand tracking systems. We encourage extensions and replication by providing a publicly available reference implementation (https://go.uniwue.de/hci-otss-hololens).
@inproceedings{kern2021using,
abstract = {In this paper, we adapt an existing VR framework for handwriting and sketching on physically aligned virtual surfaces to AR environments using the Microsoft HoloLens 2. We demonstrate a multimodal input metaphor to control the framework’s calibration features using hand tracking and voice commands. Our technical evaluation of fingertip/surface accuracy and precision on physical tables and walls is in line with existing measurements on comparable hardware, albeit considerably lower compared to previous work using controller-based VR devices. We discuss design considerations and the benefits of our unified input metaphor suitable for controller tracking and hand tracking systems. We encourage extensions and replication by providing a publicly available reference implementation (https://go.uniwue.de/hci-otss-hololens).},
added-at = {2021-11-04T11:30:43.000+0100},
address = {Osaka, Japan},
author = {Kern, Florian and Keser, Thore and Niebling, Florian and Latoschik, Marc Erich},
biburl = {https://www.bibsonomy.org/bibtex/22c5461659283eec4d3139debfd40b99a/hci-uwb},
booktitle = {27th ACM Symposium on Virtual Reality Software and Technology},
doi = {10.1145/3489849.3489940},
interhash = {94fb73ef3c11cb94d166927926debd29},
intrahash = {2c5461659283eec4d3139debfd40b99a},
keywords = {myown niebling vilearn},
note = {Best poster award. 🏆},
pages = {1-3},
publisher = {Association for Computing Machinery},
series = {VRST '21},
timestamp = {2024-05-06T17:22:37.000+0200},
title = {Using Hand Tracking and Voice Commands to Physically Align Virtual Surfaces in AR for Handwriting and Sketching with HoloLens 2},
url = {https://doi.org/10.1145/3489849.3489940},
year = 2021
}