2012
DOI: 10.9717/kmms.2012.15.5.632
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A Method of Determining Whether a Smart-Phone is Moving

Abstract: A smartphone is one of the best candidate devices on which context based services can be provided because a smartphone has considerably powerful computing ability and large memory capacity and it is a personal belonging. One of the most important factors of context is the moving status of the smartphone. For example, if the smartphone is not moving and the user is in an exhibition room then we can conclude that the user is watching an exhibit. This paper proposes an algorithm of determining the moving status o… Show more

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Cited by 6 publications
(4 citation statements)
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“…With the test results discussed in the references [2,10], we can expect that the building recognition process will perfectly recognizes the building the user is watching. A screenshot of the Android app is shown in Figure 10.…”
Section: Methodsmentioning
confidence: 96%
See 2 more Smart Citations
“…With the test results discussed in the references [2,10], we can expect that the building recognition process will perfectly recognizes the building the user is watching. A screenshot of the Android app is shown in Figure 10.…”
Section: Methodsmentioning
confidence: 96%
“…The process perfectly recognizes 'not moving' status when th1=0.2 and th2=0.5 (50%). If it is in 'not moving' status and '|pitch + 90| < 30' then it concludes that the user is in "watching status" [10].…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Most research on context information processing (CoBra [5], Gaia[6], SOCAM [7], CAMUS [8], [9]) is related to collecting information and providing service, but it is difficult to verify whether the inference is appropriate or not. The proposed system in this paper has been structured to flexibly select the context information and function in order to give relevant appropriate feedback during the operation of the context aware security service, thereby providing more appropriate security service.…”
Section: Context Awarenessmentioning
confidence: 99%