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@misc{1216463,
author = {Rusňák, Vít and Ručka, Lukáš and Kajaba, Pavel and Daxnerová, Desana and Minárik, Matej and Kareš, Jiří and Bábel, Michal and Holub, Petr},
keywords = {multi-touch; human-computer interaction; HCI; interaction framework; gesture recognition; group collaborative environment},
language = {eng},
institution = {Masarykova univerzita},
organization = {Masarykova univerzita},
title = {MUSE framework 1.5},
url = {https://www.sitola.cz/hci/index.php/Muse},
year = {2014}
}
TY -
ID - 1216463
AU - Rusňák, Vít - Ručka, Lukáš - Kajaba, Pavel - Daxnerová, Desana - Minárik, Matej - Kareš, Jiří - Bábel, Michal - Holub, Petr
PY - 2014
TI - MUSE framework 1.5
KW - multi-touch
KW - human-computer interaction
KW - HCI
KW - interaction framework
KW - gesture recognition
KW - group collaborative environment
UR - https://www.sitola.cz/hci/index.php/Muse
N2 - MUSE is a framework for developing cost-affordable interactive environments. It allows for rapid development of interactive systems based on tabletops and interactive tiled-display walls as well as for general interactive spaces. It serves as a testing environment for a development of new interaction techniques for large-scale interactive systems. The framework provides different interaction possibilities of multimodal user interfaces which are made of multiple low-cost commodity devices (e.g., single- and multi-touch overlay panels and foils, web cameras, depth sensors). Main features of the framework: a) coupling of multiple low-cost commodity multi-touch sensors which are represented as a single seamless interface; b) functions for distinguishing and continuous association of users and touch operations they performed; c) hand-tracking for identification and distinguishing users' body parts (e.g., hands) used in association with touch input events; d) integration of gesture recognition algorithms Protractor, $1 and $N to provide experimental gesture recognition of touch events (libreco library) e) extended semantic description of input events enabling their personalisation (e.g., personalized gesture recognition); (libdtuio library) f) highly configurable toolkit and application base. Supported HW: majority of existing resistive and capacitive single- and multi-touch sensor overlay panels and devices, MS Kinect depth tracker in both versions, web cameras.
ER -
RUSŇÁK, Vít, Lukáš RUČKA, Pavel KAJABA, Desana DAXNEROVÁ, Matej MINÁRIK, Jiří KAREŠ, Michal BÁBEL a Petr HOLUB. \textit{MUSE framework 1.5}. 2014.
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