2021
DOI: 10.1007/978-3-030-78642-7_4
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Detection and Localisation of Pointing, Pairing and Grouping Gestures for Brainstorming Meeting Applications

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Cited by 2 publications
(7 citation statements)
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“…Our work builds upon the work from Liechti et al [9] who detected and distinguished three different gestures on a whiteboard: pointing, pairing, and grouping. While this work proved that a distinction of deictic gestures based on tracking signals is in general possible, the accuracy was rather low.…”
Section: Methodsmentioning
confidence: 97%
See 3 more Smart Citations
“…Our work builds upon the work from Liechti et al [9] who detected and distinguished three different gestures on a whiteboard: pointing, pairing, and grouping. While this work proved that a distinction of deictic gestures based on tracking signals is in general possible, the accuracy was rather low.…”
Section: Methodsmentioning
confidence: 97%
“…A first approach was introduced by Kunz et al [8] who detected pointing gestures on artifacts on a horizontal workspace. Later, pointing gestures on artifacts on a vertical screen were detected using an Microsoft Kinect depth cam [2], and recently an HTC Vive tracking system was used to track hand gestures and to distinguish them into pointing, pairing, and grouping as the most relevant ones for referring to objects (cards) on a whiteboard [9].…”
Section: Related Workmentioning
confidence: 99%
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“…While also for gesture detection and interpretation deep learning approaches exist, they are not applicable to referring gestures, e.g., on artifacts on a whiteboard, since here also the environment has to be taken into account. In particular for pointing gestures on a whiteboard's content, a high accuracy in detecting them is required to precisely display the corresponding artifact's content to the blind and visually impaired person [1,8]. However, the precision relies on various factors such as pointing accuracy, tracking accuracy, amount and position of artifacts on the whiteboard, etc.…”
Section: Gesture Detection [3]mentioning
confidence: 99%