ACM SIGGRAPH 2016 Posters 2016
DOI: 10.1145/2945078.2945156
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Intuitive 3D flight gaming with tangible objects

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Cited by 4 publications
(11 citation statements)
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“…These studies are summarized in Table 2. Thirteen studies Chen et al, 2017;Clark et al, 2014a;Lin and Lin, 2016;Lu et al, 2015;Mirelman et al, 2014;Nieuwholf et al, 2016; reported two or more comparisons, i.e. walking while crossing an obstacle and walking while performing a serial subtraction, both in comparison to a baseline condition such as simple walking.…”
Section: Resultsmentioning
confidence: 99%
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“…These studies are summarized in Table 2. Thirteen studies Chen et al, 2017;Clark et al, 2014a;Lin and Lin, 2016;Lu et al, 2015;Mirelman et al, 2014;Nieuwholf et al, 2016; reported two or more comparisons, i.e. walking while crossing an obstacle and walking while performing a serial subtraction, both in comparison to a baseline condition such as simple walking.…”
Section: Resultsmentioning
confidence: 99%
“…Figure 2 shows the number of comparisons from the included studies showing an increase, decrease or no change in PFC activation when comparing either a) walking to standing or b) walking with an additional task to simple walking, according to group. In young people, 11 of the 20 comparisons from 13 studies reported significant increases in PFC activation (Lu et al, 2015;Suzuki et al, 2004;Lin and Lin, 2016;Hill et al, 2013;Holtzer et al, 2011;Maidan et al, 2018;Meester et al, 2014;Mirelman et al, 2014); five reported a reduction in PFC activation Koenraadt et al, 2014;Lin and Lin, 2016) and four reported no change (Koenraadt et al, 2014;. Although the aim of the study was to report changes in PFC activation, three studies (four comparisons) have also investigated activation in additional cortical areas in young people (Table 1) (Lu et al, 2015;Koenraadt et al, 2014;Suzuki et al, 2004).…”
Section: Resultsmentioning
confidence: 99%
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“…It is an important step in computer vision fields and its precision largely influences the quality of different computer vision applications such as three-dimensional modeling [1,2], depth estimation [3,4], and augment reality [5,6]. The technique of 3D registration is also widely used in scene modeling [7,8], image tracking [9,10] and vision registration fields [11,12]. Recently, the RGB-D camera is a relatively new type of depth sensor, which can capture 3D data with a good frame rate, and it has a high focus in many fields of computer vision [13,14].…”
Section: Introductionmentioning
confidence: 99%