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.

Magrofuoco, N., Roselli, P., Vanderdonckt, J., Pérez-Medina, J.l., Vatavu, R. (2019). GestMan: A cloud-based tool for stroke-gesture datasets. In Proceedings of the ACM SIGCHI Symposium on Engineering Interactive Computing Systems, EICS 2019 (pp.3328227). ACM [10.1145/3319499.3328227].

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

Roselli, Paolo;
2019-06-01

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.
11th ACM SIGCHI Symposium on Engineering Interactive Computing Systems, EICS 2019
Valencia
2019
Rilevanza internazionale
giu-2019
Settore MAT/05 - ANALISI MATEMATICA
English
Intervento a convegno
Magrofuoco, N., Roselli, P., Vanderdonckt, J., Pérez-Medina, J.l., Vatavu, R. (2019). GestMan: A cloud-based tool for stroke-gesture datasets. In Proceedings of the ACM SIGCHI Symposium on Engineering Interactive Computing Systems, EICS 2019 (pp.3328227). ACM [10.1145/3319499.3328227].
Magrofuoco, N; Roselli, P; Vanderdonckt, J; Pérez-Medina, Jl; Vatavu, R
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/226376
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