Abstract
This paper presents a database of natural hand gestures (‘IITiS Gesture Database’) recorded with motion capture devices. For the purpose of benchmarking and testing the gesture interaction system we have selected twenty-two natural hand gestures and recorded them on three different motion capture gloves with a number of participants and movement speeds. The methodology for the gesture selection, details of the acquisition process, and data analysis results are presented in the paper.
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Głomb, P., Romaszewski, M., Opozda, S., Sochan, A. (2012). Choosing and Modeling the Hand Gesture Database for a Natural User Interface. In: Efthimiou, E., Kouroupetroglou, G., Fotinea, SE. (eds) Gesture and Sign Language in Human-Computer Interaction and Embodied Communication. GW 2011. Lecture Notes in Computer Science(), vol 7206. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34182-3_3
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DOI: https://doi.org/10.1007/978-3-642-34182-3_3
Publisher Name: Springer, Berlin, Heidelberg
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