2015
DOI: 10.1007/s00779-015-0844-1
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Touch-less interactive augmented reality game on vision-based wearable device

Abstract: There is an increasing interest in creating pervasive games based on emerging interaction technologies. In order to develop touch-less, interactive and augmented reality games on vision-based wearable device, a touch-less motion interaction technology is designed and evaluated in this work. Users interact with the augmented reality games with dynamic hands/feet gestures in front of the camera, which triggers the interaction event to interact with the virtual object in the scene. Three primitive augmented reali… Show more

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Cited by 266 publications
(110 citation statements)
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“…(4), shows that with the increase of the input queue buffer length, when service node number m = 100, the growth of the total system requests is quite gentle, when m = 500, then the influence of queue buffer length on the total system requests cannot be observed [17,18]. (2) Blocking Probability Blocking probability curve is shown in Fig.…”
Section: Results and Analysismentioning
confidence: 99%
“…(4), shows that with the increase of the input queue buffer length, when service node number m = 100, the growth of the total system requests is quite gentle, when m = 500, then the influence of queue buffer length on the total system requests cannot be observed [17,18]. (2) Blocking Probability Blocking probability curve is shown in Fig.…”
Section: Results and Analysismentioning
confidence: 99%
“…Figure 3 is a schematic diagram of window, where I, i1…represent the regions in the window. The initial position of each window is located at the right end of each line's pixel, which moves to the left after algorithm and turns into Window' until the left end [13][14][15][16]. The algorithm procedures are as follows:…”
Section: Extraction Of Channel Line Profilementioning
confidence: 99%
“…Definition 1: for Text , define a feature vector , , , , … , , as the vector space model of it [3][4][5][6]. BP network algorithm takes the frequency of appearance of the feature word in the Document and the document number including this feature words as the weight of the feature word, namely ( 1 ) Where, refers to the weight of feature word , the frequency of appearance of feature word in Document , the total document number and the document number including .…”
Section: Initial Weights Processingmentioning
confidence: 99%