Haptic Middleware Based Software Architecture for Smart Learning

Chaczko, Z; Chan, CY; Carrion, L; Alenazy, WMG

Haptic Middleware Based Software Architecture for Smart Learning

Chaczko, Z

Chan, CY Carrion, L Alenazy, WMG

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Publication Type:: Conference Proceeding
Citation:: Proceedings - 2015 Asia-Pacific Conference on Computer-Aided System Engineering, APCASE 2015, 2015, pp. 257 - 263
Issue Date:: 2015-10-01

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Field	Value	Language
dc.contributor.author	Chaczko, Z https://orcid.org/0000-0002-2816-7510	en_US
dc.contributor.author	Chan, CY	en_US
dc.contributor.author	Carrion, L	en_US
dc.contributor.author	Alenazy, WMG	en_US
dc.date.issued	2015-10-01	en_US
dc.identifier.citation	Proceedings - 2015 Asia-Pacific Conference on Computer-Aided System Engineering, APCASE 2015, 2015, pp. 257 - 263	en_US
dc.identifier.isbn	9781479975884	en_US
dc.identifier.uri	http://hdl.handle.net/10453/44068
dc.description.abstract	© 2015 IEEE. The software architecture of smart learning environment can be perceived as an environment that is equipped with various audio-visual objects to capture human motion, utterance and gesture, allowing the teacher to deliver lectures to both local and remote audience through the Internet. The interactive objects in such architectural environment are interfaced with simple navigation, depending on operation characteristics, voice, tactile and visual interaction with the aim to improve Human-Machine Interaction. This facilitates effective data acquisition and statistical analysis, in order to assist in decision making by the participants, as well as, apply them in the process of self-assessment. This paper discusses the design and implementation of integrating hap tic technologies into the architecture of smart learning environment by designing components of service oriented software middleware that defines a common gesture framework, and thus allowing multiple hap tic and gesture peripherals to share a within common protocol, as well as, enabling individual device to work as stand-alone entity.	en_US
dc.relation.ispartof	Proceedings - 2015 Asia-Pacific Conference on Computer-Aided System Engineering, APCASE 2015	en_US
dc.relation.isbasedon	10.1109/APCASE.2015.52	en_US
dc.title	Haptic Middleware Based Software Architecture for Smart Learning	en_US
dc.type	Conference Proceeding
utslib.for	0805 Distributed Computing	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/DVC (Teaching and Learning)
pubs.organisational-group	/University of Technology Sydney/DVC (Teaching and Learning)/Connected Intelligence Centre
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

© 2015 IEEE. The software architecture of smart learning environment can be perceived as an environment that is equipped with various audio-visual objects to capture human motion, utterance and gesture, allowing the teacher to deliver lectures to both local and remote audience through the Internet. The interactive objects in such architectural environment are interfaced with simple navigation, depending on operation characteristics, voice, tactile and visual interaction with the aim to improve Human-Machine Interaction. This facilitates effective data acquisition and statistical analysis, in order to assist in decision making by the participants, as well as, apply them in the process of self-assessment. This paper discusses the design and implementation of integrating hap tic technologies into the architecture of smart learning environment by designing components of service oriented software middleware that defines a common gesture framework, and thus allowing multiple hap tic and gesture peripherals to share a within common protocol, as well as, enabling individual device to work as stand-alone entity.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/44068