• Title/Summary/Keyword: Spatial-Knowledge-Tags

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Human Indicator and Information Display using Space Human Interface in Networked Intelligent Space

  • Jin Tae-Seok;Niitsuma Mihoko;Hashimoto Hideki
    • Journal of the Korean Institute of Intelligent Systems
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    • v.15 no.5
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    • pp.632-638
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    • 2005
  • This paper describes a new data-handing, based on a Spatial Human Interface as human indicator, to the Spatial-Knowledge-Tags (SKT) in the spatial memory the Spatial Human Interface (SHI) is a new system that enables us to facilitate human activity in a working environment. The SHI stores human activity data as knowledge and activity history of human into the Spatial Memory in a working environment as three-dimensional space where one acts, and loads them with the Spatial-Knowledge-Tags(SKT) by supporting the enhancement of human activity. To realize this, the purpose of SHI is to construct new relationship among human and distributed networks computers and sensors that is based on intuitive and simultaneous interactions. In this paper, the specified functions of SKT and the realization method of SKT are explained. The utility of SKT is demonstrated in designing a robot motion control.

A Study on the Application of Spatial-Knowledge-Tags using Human Motion in Intelligent Space

  • Jin, Tae-Seok;Morioka, Kazuyuki;Niitsuma, Mihoko;Sasaki, Takeshi;Hashimoto, Hideki
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.31-36
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    • 2005
  • Intelligent Space (iSpace) is the space where many intelligent devices, such as computers and sensors, are distributed. According to the cooperation of many intelligent devices, the environment comes to have intelligence. In iSpace, the locations of multiple humans and other objects are obtained and tracked by using multiple camera and color-based method. In addition, we describe a context-aware information system which is based on Spatial-Knowledge-Tags (SKT). SKT system enables humans to access information and data by using spatial location of human and stored information in storage. The proposed tracking method is applied to the intelligent environment and its performance is verified by the experiments.

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