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A multisensor system for positioning of multiple users

Published: 10 September 2014 Publication History

Abstract

Interaction Human-Computer Systems that use cameras are gaining presence and demand based on more accurate and affordable development of body-language interaction systems.
Using only a camera to detect the motion of a user may be enough when he/she is in its field of view. In that case, the system provides accurate information about the position and motion of the user, but when the interaction takes place in a large space or a large number of users are considered, a single camera system has limitations to detect and track the users. However, if the use of a set of cameras is considered, the system may deal properly with the recognition of the users, proving higher accuracy and capacity.
This paper presents a solution based on a multisensor positioning system using motion capture to overcome the described shortcomings. Currently, this solution is being used to create systems which need information about the position and visual identification of multiple users, such as solutions to support physical rehabilitation activities.

References

[1]
NaturalPoint, "OptiTrack," {Online}. Available: http://www.naturalpoint.com/optitrack/.
[2]
"Kinect for Windows," {Online}. Available: http://www.microsoft.com/en-us/kinectforwindows/. {Accessed 2014}.
[3]
"Kinect for Xbox 360," {Online}. Available: http://www.xbox.com/es-ES/Kinect. {Accessed 2014}.
[4]
M. Oliver, J. P. Molina, F. Montero, P. González and A. Fernández-Caballero, "Wireless Multisensory Interaction in an Intelligent Rehabilitation Environment," in ISAmI 2014, 2014.
[5]
C.-Y. Chang, B. Lange, M. Zhang, S. Koenig, P. Requejo, N. Somboon, A. A. Sawchuk and A. A. Rizzo, "Towards Pervasive Physical Rehabilitation Using Microsoft Kinect," in 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops, 2012.
[6]
Jimison and M. Pavel, "Accuracy and robustness of Kinect pose estimation in the context of coaching of elderly population," in 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, San Diego, CA; United States, 2012.

Cited By

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  • (2016)Smart Computer-Assisted Cognitive Rehabilitation for the Ageing PopulationAmbient Intelligence- Software and Applications – 7th International Symposium on Ambient Intelligence (ISAmI 2016)10.1007/978-3-319-40114-0_22(197-205)Online publication date: 28-May-2016

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  1. A multisensor system for positioning of multiple users

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    Interacción '14: Proceedings of the XV International Conference on Human Computer Interaction
    September 2014
    435 pages
    ISBN:9781450328807
    DOI:10.1145/2662253
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

    In-Cooperation

    • Universidad de La Laguna: Universidad de La Laguna

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 10 September 2014

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    Author Tags

    1. Positioning
    2. human-computer interaction
    3. intelligent environments
    4. multi-camera
    5. multiple users
    6. multisensor

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    • Research-article
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    • Refereed limited

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    Interacción '14
    Interacción '14: XV International Conference on Human Computer Interaction
    September 10 - 12, 2014
    Tenerife, Puerto de la Cruz, Spain

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    Overall Acceptance Rate 109 of 163 submissions, 67%

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    • (2016)Smart Computer-Assisted Cognitive Rehabilitation for the Ageing PopulationAmbient Intelligence- Software and Applications – 7th International Symposium on Ambient Intelligence (ISAmI 2016)10.1007/978-3-319-40114-0_22(197-205)Online publication date: 28-May-2016

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