GestMan : a cloud-based tool for stroke-gesture datasets

Magrofuoco, Nathan;Roselli, Paolo;Vanderdonckt, Jean;Perez Medina, Jorge Luis;Vatavu, Radu-Daniel
(2019) 11th ACM SIGCHI Symposium on Engineering Interactive Computing Systems — Location: Valencia, Spain (18.June.2019)

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Authors
  • Magrofuoco, Nathanorcid-logoUCLouvain
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  • Perez Medina, Jorge LuisUCLouvain
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  • Vatavu, Radu-DanielUniversity Stefan cel Mare of Suceava, Suceava, Romania
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Abstract
We introduce GestMan, a cloud-based GESTure MANagement tool to support the acquisition, design, and management of stroke-gesture datasets for interactive applications. GestMan stores stroke-gestures at multiple levels of representation, from individual samples to classes, clusters, and vocabularies and enables practitioners to process, analyze, classify, compile, and reconfigure sets of gesture commands according to the specific requirements of their applications, prototypes, and interactive systems. Our online tool enables acquisition of 2-D stroke-gestures via a HTML5-based user interface as well as 3-D touch+air and webcam-based gestures via dedicated mappers. GestMan implements five software quality characteristics of the ISO-25010 standard and employs a new mathematical formalization of stroke-gestures as vectors to support efficient computation of various gesture features.
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Citations

Magrofuoco, N., Roselli, P., Vanderdonckt, J., Perez Medina, J. L., & Vatavu, R.-D. (2019). GestMan : a cloud-based tool for stroke-gesture datasets. Proceedings of the ACM SIGCHI Symposium on Engineering Interactive Computing Systems - EICS ’19, p. Article No. 7. https://doi.org/10.1145/3319499.3328227