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Prototyping and evaluating a wearable system for mobile distributed collaboration
Citation
Huang, W and Alem, L and Albasri, J, Prototyping and evaluating a wearable system for mobile distributed collaboration, Communications and Network, 5 pp. 554-562. ISSN 1949-2421 (2013) [Refereed Article]
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Copyright Statement
Copyright 2013 Scientific Research
DOI: doi:10.4236/cn.2013.53B2100
Abstract
We have developed a wearable system for mobile distributed collaboration called HandsInAir using emerging wireless and mobile technologies. This system was developed to support real world scenarios in which a remote mobile helper guides a local mobile worker in the completion of a physical task. HandsInAir consists of a helper unit and a worker unit. Both units are equipped with wearable devices having the same hardware configuration, but running different pieces of software to support the distinct roles of the collaborators (helper and worker). The two sides are connected via a wireless network and the collaboration partners can communicate with each other via audio and visual links. In this paper we describe the technical implementation of the system and present a preliminary evaluation of it. The paper con- cludes with a brief discussion of possible future work for further improvements and new developments.
Item Details
Item Type: | Refereed Article |
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Keywords: | Wireless Network; Mobile Computing; Remote Collaboration; Video Mediated Communication; Remote Gestures |
Research Division: | Information and Computing Sciences |
Research Group: | Library and information studies |
Research Field: | Human information interaction and retrieval |
Objective Division: | Expanding Knowledge |
Objective Group: | Expanding knowledge |
Objective Field: | Expanding knowledge in the information and computing sciences |
UTAS Author: | Huang, W (Dr Tony Huang) |
ID Code: | 90133 |
Year Published: | 2013 |
Deposited By: | Information and Communication Technology |
Deposited On: | 2014-03-27 |
Last Modified: | 2014-04-15 |
Downloads: | 361 View Download Statistics |
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