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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  2/2017 - 3

 HIGHLY CITED PAPER 

Software Architecture Design for Spatially-Indexed Media in Smart Environments

SCHIPOR, O.-A. See more information about SCHIPOR, O.-A. on SCOPUS See more information about SCHIPOR, O.-A. on IEEExplore See more information about SCHIPOR, O.-A. on Web of Science, WU, W. See more information about  WU, W. on SCOPUS See more information about  WU, W. on SCOPUS See more information about WU, W. on Web of Science, TSAI, W.-T. See more information about  TSAI, W.-T. on SCOPUS See more information about  TSAI, W.-T. on SCOPUS See more information about TSAI, W.-T. on Web of Science, VATAVU, R.-D. See more information about VATAVU, R.-D. on SCOPUS See more information about VATAVU, R.-D. on SCOPUS See more information about VATAVU, R.-D. on Web of Science
 
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Download PDF pdficon (2,383 KB) | Citation | Downloads: 945 | Views: 2,802

Author keywords
software architecture, multimedia communication, ambient intelligence, augmented reality, smart homes

References keywords
smart(19), environments(10), spaces(9), interaction(6), vatavu(5), human(5), home(5), gesture(5), computing(5), ambient(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2017-05-31
Volume 17, Issue 2, Year 2017, On page(s): 17 - 22
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2017.02003
Web of Science Accession Number: 000405378100003
SCOPUS ID: 85020120559

Abstract
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We introduce in this work a new software architecture design, based on well-established web communication protocols and scripting languages, for implementing spatially-indexed media in smart environments. We based our approach on specific design guidelines. Our concept of spatially-indexed media enables users to readily instantiate mappings between digital content and specific regions of the physical space. We present an implementation of the architecture using a motion capture system, a large visualization display, and several smart devices. We also present an experimental evaluation of our new software architecture by reporting response times function of changes in the complexity of physical-digital environment.


References | Cited By  «-- Click to see who has cited this paper

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[CrossRef] [SCOPUS Times Cited 753]


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[12] Korzun D. G., Balandin S., and Gurtov A. (2013), Deployment of Smart Spaces in Internet of Things: Overview of the Design Challenges, The 6th Conference on Internet of Things and Smart Spaces (ruSMART), At St. Petersburg, Russia.
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[13] Gardner, Michael and Elliott, Jennifer (2014), The Immersive Education Laboratory: understanding affordances, structuring experiences, and creating constructivist, collaborative processes, in mixed-reality smart environments. EAI Endorsed Transactions on Future Intelligent Educational Environments, 14 (1).
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[17] Agosta G. (2015), Playful Supervised Smart Spaces (P3S) - A Framework for Designing, Implementing and Deploying Multisensory Play Experiences for Children with Special Needs, Digital System Design (DSD).
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[18] O.-A. Schipor, S.-G. Pentiuc, M.-D. Schipor, "Toward Automatic Recognition of Children's Affective State Using Physiological Parameters and Fuzzy Model of Emotions," Advances in Electrical and Computer Engineering, vol.12, no.2, pp.47-50, 2012,
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[19] Liu L. et al (2016), Smart homes and home health monitoring technologies for older adults: A systematic review, International Journal of Medical Informatics, Volume 91, Pages 44–59.
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[20] Geman O. et al (2015), Challenges and trends in Ambient Assisted Living and intelligent tools for disabled and elderly people, Computational Intelligence for Multimedia Understanding (IWCIM).
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[31] Vatavu, R.D. (2017). Smart-Pockets: Body-Deictic Gestures for Fast Access to Personal Data during Ambient Interactions. International Journal of Human–Computer Studies.
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References Weight

Web of Science® Citations for all references: 1,858 TCR
SCOPUS® Citations for all references: 4,078 TCR

Web of Science® Average Citations per reference: 53 ACR
SCOPUS® Average Citations per reference: 117 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2024-03-28 08:08 in 232 seconds.




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Stefan cel Mare University of Suceava, Romania


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