The Leap Motion controller: A view on sign language

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Author(s)
Potter, LE
Araullo, J
Carter, L
Year published
2013
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This paper presents an early exploration of the suitability of the Leap Motion controller for Australian Sign Language (Auslan) recognition. Testing showed that the controller is able to provide accurate tracking of hands and fingers, and to track movement. This detection loses accuracy when the hand moves into a position that obstructs the controller's ability to view, such as when the hand rotates and is perpendicular to the controller. The detection also fails when individual elements of the hands are brought together, such as finger to finger. In both of these circumstances, the controller is unable to read or track ...
View more >This paper presents an early exploration of the suitability of the Leap Motion controller for Australian Sign Language (Auslan) recognition. Testing showed that the controller is able to provide accurate tracking of hands and fingers, and to track movement. This detection loses accuracy when the hand moves into a position that obstructs the controller's ability to view, such as when the hand rotates and is perpendicular to the controller. The detection also fails when individual elements of the hands are brought together, such as finger to finger. In both of these circumstances, the controller is unable to read or track the hand. There is potential for the use of this technology for recognising Auslan, however further development of the Leap Motion API is required.
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View more >This paper presents an early exploration of the suitability of the Leap Motion controller for Australian Sign Language (Auslan) recognition. Testing showed that the controller is able to provide accurate tracking of hands and fingers, and to track movement. This detection loses accuracy when the hand moves into a position that obstructs the controller's ability to view, such as when the hand rotates and is perpendicular to the controller. The detection also fails when individual elements of the hands are brought together, such as finger to finger. In both of these circumstances, the controller is unable to read or track the hand. There is potential for the use of this technology for recognising Auslan, however further development of the Leap Motion API is required.
View less >
Conference Title
Proceedings of the 25th Australian Computer-Human Interaction Conference: Augmentation, Application, Innovation, Collaboration, OzCHI 2013
Copyright Statement
© ACM, 2013. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of the 25th Australian Computer-Human Interaction Conference: Augmentation, Application, Innovation, Collaboration , ISBN: 978-1-4503-2525-7, DOI: dx.doi.org/10.1145/2541016.2541072
Subject
Computer-Human Interaction