Mixed reality with a collaborative information system

Charles Z. Liu; Manolya Kavakli

doi:10.1007/978-3-319-49178-3_16

Mixed reality with a collaborative information system

Charles Z. Liu^*, Manolya Kavakli

^*Corresponding author for this work

Research output: Chapter in Book/Published conference output › Conference publication

Abstract

In this paper, we present a mixed reality environment (MIXER) for immersive interactions. MIXER is an agent based collaborative information system displaying hybrid reality merging interactive computer graphics and real objects. MIXER is an agent based collaborative information system displaying hybrid reality merging interactive computer graphics and real objects. The system comprises a sensor subsystem, a network subsystem and an interaction subsystem. Related issues to the concept of mixed interaction, including human aware computing, mixed reality fusion, agent based systems, collaborative scalable learning in distributed systems, QoE-QoS balanced management and information security, are discussed. We propose a system architecture to perform networked mixed reality fusion for Ambient Interaction. The components of the mixed reality suit to perform human aware interaction are Interaction Space, Motion Monitoring, Action and Scenario Synthesisers, Script Generator, Knowledge Assistant Systems, Scenario Display, and a Mixed Reality Module. Thus, MIXER as an integrated system can provide a comprehensive human-centered mixed reality suite for advanced Virtual Reality and Augmented Reality applications such as therapy, training, and driving simulations.

Original language	English
Title of host publication	Advances in Services Computing - 10th Asia-Pacific Services Computing Conference, APSCC 2016, Proceedings
Editors	Gregorio Martínez Perez, Guojun Wang, Yanbo Han
Publisher	Springer-Verlag Italia Srl
Pages	205-219
Number of pages	15
ISBN (Print)	9783319491776
DOIs	https://doi.org/10.1007/978-3-319-49178-3_16
Publication status	Published - 10 Nov 2016
Event	10th International Conference on Asia-Pacific Services Computing, APSCC 2016 - Zhangjiajie, China Duration: 16 Nov 2016 → 18 Nov 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10065 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	10th International Conference on Asia-Pacific Services Computing, APSCC 2016
Country/Territory	China
City	Zhangjiajie
Period	16/11/16 → 18/11/16

Bibliographical note

Publisher Copyright:
© Springer International Publishing AG 2016.

Keywords

Ambient interaction
Collaborative scalable learning
Human aware computing
Mixed reality
Mixed reality fusion
QoE-QoS management

Access to Document

10.1007/978-3-319-49178-3_16

Cite this

Liu, C. Z., & Kavakli, M. (2016). Mixed reality with a collaborative information system. In G. M. Perez, G. Wang, & Y. Han (Eds.), Advances in Services Computing - 10th Asia-Pacific Services Computing Conference, APSCC 2016, Proceedings (pp. 205-219). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10065 LNCS). Springer-Verlag Italia Srl. https://doi.org/10.1007/978-3-319-49178-3_16

Liu, Charles Z. ; Kavakli, Manolya. / Mixed reality with a collaborative information system. Advances in Services Computing - 10th Asia-Pacific Services Computing Conference, APSCC 2016, Proceedings. editor / Gregorio Martínez Perez ; Guojun Wang ; Yanbo Han. Springer-Verlag Italia Srl, 2016. pp. 205-219 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "In this paper, we present a mixed reality environment (MIXER) for immersive interactions. MIXER is an agent based collaborative information system displaying hybrid reality merging interactive computer graphics and real objects. MIXER is an agent based collaborative information system displaying hybrid reality merging interactive computer graphics and real objects. The system comprises a sensor subsystem, a network subsystem and an interaction subsystem. Related issues to the concept of mixed interaction, including human aware computing, mixed reality fusion, agent based systems, collaborative scalable learning in distributed systems, QoE-QoS balanced management and information security, are discussed. We propose a system architecture to perform networked mixed reality fusion for Ambient Interaction. The components of the mixed reality suit to perform human aware interaction are Interaction Space, Motion Monitoring, Action and Scenario Synthesisers, Script Generator, Knowledge Assistant Systems, Scenario Display, and a Mixed Reality Module. Thus, MIXER as an integrated system can provide a comprehensive human-centered mixed reality suite for advanced Virtual Reality and Augmented Reality applications such as therapy, training, and driving simulations.",

keywords = "Ambient interaction, Collaborative scalable learning, Human aware computing, Mixed reality, Mixed reality fusion, QoE-QoS management",

author = "Liu, {Charles Z.} and Manolya Kavakli",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2016.; 10th International Conference on Asia-Pacific Services Computing, APSCC 2016 ; Conference date: 16-11-2016 Through 18-11-2016",

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doi = "10.1007/978-3-319-49178-3_16",

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Liu, CZ & Kavakli, M 2016, Mixed reality with a collaborative information system. in GM Perez, G Wang & Y Han (eds), Advances in Services Computing - 10th Asia-Pacific Services Computing Conference, APSCC 2016, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10065 LNCS, Springer-Verlag Italia Srl, pp. 205-219, 10th International Conference on Asia-Pacific Services Computing, APSCC 2016, Zhangjiajie, China, 16/11/16. https://doi.org/10.1007/978-3-319-49178-3_16

Mixed reality with a collaborative information system. / Liu, Charles Z.; Kavakli, Manolya.
Advances in Services Computing - 10th Asia-Pacific Services Computing Conference, APSCC 2016, Proceedings. ed. / Gregorio Martínez Perez; Guojun Wang; Yanbo Han. Springer-Verlag Italia Srl, 2016. p. 205-219 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10065 LNCS).

Research output: Chapter in Book/Published conference output › Conference publication

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AU - Liu, Charles Z.

AU - Kavakli, Manolya

N1 - Publisher Copyright: © Springer International Publishing AG 2016.

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N2 - In this paper, we present a mixed reality environment (MIXER) for immersive interactions. MIXER is an agent based collaborative information system displaying hybrid reality merging interactive computer graphics and real objects. MIXER is an agent based collaborative information system displaying hybrid reality merging interactive computer graphics and real objects. The system comprises a sensor subsystem, a network subsystem and an interaction subsystem. Related issues to the concept of mixed interaction, including human aware computing, mixed reality fusion, agent based systems, collaborative scalable learning in distributed systems, QoE-QoS balanced management and information security, are discussed. We propose a system architecture to perform networked mixed reality fusion for Ambient Interaction. The components of the mixed reality suit to perform human aware interaction are Interaction Space, Motion Monitoring, Action and Scenario Synthesisers, Script Generator, Knowledge Assistant Systems, Scenario Display, and a Mixed Reality Module. Thus, MIXER as an integrated system can provide a comprehensive human-centered mixed reality suite for advanced Virtual Reality and Augmented Reality applications such as therapy, training, and driving simulations.

AB - In this paper, we present a mixed reality environment (MIXER) for immersive interactions. MIXER is an agent based collaborative information system displaying hybrid reality merging interactive computer graphics and real objects. MIXER is an agent based collaborative information system displaying hybrid reality merging interactive computer graphics and real objects. The system comprises a sensor subsystem, a network subsystem and an interaction subsystem. Related issues to the concept of mixed interaction, including human aware computing, mixed reality fusion, agent based systems, collaborative scalable learning in distributed systems, QoE-QoS balanced management and information security, are discussed. We propose a system architecture to perform networked mixed reality fusion for Ambient Interaction. The components of the mixed reality suit to perform human aware interaction are Interaction Space, Motion Monitoring, Action and Scenario Synthesisers, Script Generator, Knowledge Assistant Systems, Scenario Display, and a Mixed Reality Module. Thus, MIXER as an integrated system can provide a comprehensive human-centered mixed reality suite for advanced Virtual Reality and Augmented Reality applications such as therapy, training, and driving simulations.

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PB - Springer-Verlag Italia Srl

T2 - 10th International Conference on Asia-Pacific Services Computing, APSCC 2016

Y2 - 16 November 2016 through 18 November 2016

ER -

Liu CZ, Kavakli M. Mixed reality with a collaborative information system. In Perez GM, Wang G, Han Y, editors, Advances in Services Computing - 10th Asia-Pacific Services Computing Conference, APSCC 2016, Proceedings. Springer-Verlag Italia Srl. 2016. p. 205-219. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-49178-3_16

Mixed reality with a collaborative information system

Abstract

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Bibliographical note

Keywords

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