Assigning semantics to sensed human actions: a framework and steps towards an abstract model Loke, Seng W and Tivendale, Chris 2009, Assigning semantics to sensed human actions: a framework and steps towards an abstract model, International Journal of Semantic Computing, vol. 3, no. 3, pp. 311-330, doi: 10.1142/S1793351X0900080X. Title Assigning semantics to sensed human actions: a framework and steps towards an abstract model Author(s) Loke, Seng W orcid.org/0000-0001-9568-5230 Tivendale, Chris Journal name International Journal of Semantic Computing Volume number 3 Issue number 3 Start page 311 End page 330 Total pages 20 Publisher WORLD SCIENTIFIC PUBL CO PTE LTD Publication date 2009-09-01 ISSN 1793-351X 1793-7108 Keyword(s) Science & Technology Technology Computer Science, Artificial Intelligence Computer Science Sensor interpretation software engineering for sensor-based interaction Summary While there have been many applications that rely on sensors for human computer interaction, for monitoring environments, and for smart context-aware applications, many systems are built in an ad hoc manner, and targets specific domains. There will be a growing demand for such applications whether for everyday life or games. This paper reports on work in two directions towards general development strategies for sensor-driven systems: one is an XML programmable framework and the other an abstract relational model for specifying such sensor-based human computer interaction systems (together with the ability to formally define properties of such systems). While we describe a specific implementation and model, the paper advocates high-level programmability, and development via formal abstract specifications, as two important areas of research towards systematic development of sensor-based interaction systems. Language eng DOI 10.1142/S1793351X0900080X Indigenous content off Field of Research 0801 Artificial Intelligence and Image Processing 0806 Information Systems HERDC Research category C1.1 Refereed article in a scholarly journal Persistent URL http://hdl.handle.net/10536/DRO/DU:30132410 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description   Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Thu, 21 Nov 2019, 14:55:22 EST Fri, 22 Nov 2019, 04:05:54 EST Fri, 22 Nov 2019, 05:08:13 EST Tue, 08 Dec 2020, 07:13:56 EST Tue, 08 Dec 2020, 07:14:56 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 34 Abstract Views  -  Detailed Statistics Created: Thu, 21 Nov 2019, 14:55:22 EST

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