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SpaceState : Ad-Hoc Definition and Recognition of Hierarchical Room States for Smart Environments

Title data

Fender, Andreas ; Müller, Jörg:
SpaceState : Ad-Hoc Definition and Recognition of Hierarchical Room States for Smart Environments.
In: Lee, Bongshin (ed.): ISS '19. - New York, NY : Association for Computing Machinery , 2019 . - pp. 303-314
ISBN 978-1-4503-6891-9
DOI: https://doi.org/10.1145/3343055.3359715

Abstract in another language

We present SpaceState, a system for designing spatial user interfaces that react to changes of the physical layout of a room. SpaceState uses depth cameras to measure the physical environment and allows designers to interactively define global and local states of the room. After designers defined states, SpaceState can identify the current state of the physical environment in real-time. This allows applications to adapt the content to room states and to react to transitions between states. Other scenarios include analysis and optimizations of work flows in physical environments. We demonstrate SpaceState by showcasing various example states and interactions. Lastly, we implemented an example application: A projection mapping based tele-presence application, which projects a remote user in the local physical space according to the current layout of the space.

Further data

Item Type: Article in a book
Refereed: Yes
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science VIII > Chair Applied Computer Science VIII - Univ.-Prof. Dr. Jörg Müller
Faculties
Faculties > Faculty of Mathematics, Physics und Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science VIII
Result of work at the UBT: No
DDC Subjects: 000 Computer Science, information, general works
Date Deposited: 06 Apr 2020 09:31
Last Modified: 06 Apr 2020 09:31
URI: https://eref.uni-bayreuth.de/id/eprint/54835