µPoly: a First Microgesture Toolkit EICS004

With the rapid development of microgesture research, numerous recognition devices with different sensors (e.g. force-sensitive, IMU), form factors (e.g. glove, ring) and recognition algorithms (e.g. ad-hoc, random forest) have become available. With this increasing number and diversity of recognition devices, it is important to be able to easily switch between devices and/or modify the set of recognized microgestures. To address these challenges, we propose µPoly, a first microgesture toolkit based on the µGlyph microgesture notation. µPoly takes as input the µGlyph descriptions of elementary microgestures. These inputs are combined to recognize complex microgestures described using µGlyph. µPoly therefore offers a standard for microgesture events. The design of µPoly is based on properties taken from the toolkit literature. To highlight these properties: we present (1) how practitioners are using the toolkit in four scenarios, and report on user testing and (2) how applications are being developed with µPoly.

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Publication Details

Journal
Proceedings of the ACM on Human-Computer Interaction
Published
2026-06-29
DOI
https://doi.org/10.1145/3815367
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.00

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article

µPoly: a First Microgesture Toolkit EICS004

Vincent Lambert, Alix Goguey, Adrien Chaffangeon Caillet, Laurence Nigay et al.
Proceedings of the ACM on Human-Computer Interaction
Advanced Sensor and Energy Harvesting Materials
article

µPoly: a First Microgesture Toolkit EICS004

Vincent Lambert, Alix Goguey, Adrien Chaffangeon Caillet, Laurence Nigay, Aurélien Conil, Charles Bailly
article en

Abstract

With the rapid development of microgesture research, numerous recognition devices with different sensors (e.g. force-sensitive, IMU), form factors (e.g. glove, ring) and recognition algorithms (e.g. ad-hoc, random forest) have become available. With this increasing number and diversity of recognition devices, it is important to be able to easily switch between devices and/or modify the set of recognized microgestures. To address these challenges, we propose µPoly, a first microgesture toolkit based on the µGlyph microgesture notation. µPoly takes as input the µGlyph descriptions of elementary microgestures. These inputs are combined to recognize complex microgestures described using µGlyph. µPoly therefore offers a standard for microgesture events. The design of µPoly is based on properties taken from the toolkit literature. To highlight these properties: we present (1) how practitioners are using the toolkit in four scenarios, and report on user testing and (2) how applications are being developed with µPoly.

Proceedings of the ACM on Human-Computer InteractionVol. 10(4)
Institut polytechnique de Grenoble (FR), Centre National de la Recherche Scientifique (FR), Laboratoire d'Informatique de Grenoble (FR), Institute of Mining (RU), Immersion (United States) (US), Université Grenoble Alpes (FR)
Agence Nationale de la Recherche
Life in Land
Openalex Percentile: Top 13%
Advanced Sensor and Energy Harvesting Materials
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