Engineering User Interfaces with Beat Gestures

Maxime André; Anthony Bayet; Tobias JETZEN; Pierre LUYCX; Maxime Cauz; Bruno Dumas

doi:10.1145/3596454.3597187

Engineering User Interfaces with Beat Gestures

Maxime André, Anthony Bayet, Tobias JETZEN, Pierre LUYCX, Maxime Cauz, Bruno Dumas

Research output: Contribution in Book/Catalog/Report/Conference proceeding › Conference contribution

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Abstract

Beat gestures are biphasic up-and-down or back-and-forth movements of hand(s) that are associated with a specific meaning, such as in speech, or without, such as in rhythmic commands. Incorporating beat gesture recognition into user interface engineering involves dynamic recognition of hand pose, identification of movement direction, and calculation of beat number and frequency. We demonstrate a game that uses beat gestures for musical rhythm learning. We aim to understand the impact of real-time embodiment and guidance visualizations synthesizing user hands and gestures and considering the distance between virtual and real worlds.

Original language	English
Title of host publication	EICS 2023 Companion - Companion of the 2023 ACM SIGCHI Symposium on Engineering Interactive Computing Systems
Subtitle of host publication	Posters and Demos track
Publisher	ACM Press
Pages	76-78
Number of pages	3
ISBN (Electronic)	979-8-4007-0206-8/23/06
DOIs	https://doi.org/10.1145/3596454.3597187
Publication status	Published - 27 Jun 2023

Publication series

Name	EICS 2023 Companion - Companion of the 2023 ACM SIGCHI Symposium on Engineering Interactive Computing Systems

Keywords

Gesture-based user interfaces
gesture recognition

Access to Document

10.1145/3596454.3597187

3596454.3597187

Cite this

André, M., Bayet, A., JETZEN, T., LUYCX, P., Cauz, M., & Dumas, B. (2023). Engineering User Interfaces with Beat Gestures. In EICS 2023 Companion - Companion of the 2023 ACM SIGCHI Symposium on Engineering Interactive Computing Systems: Posters and Demos track (pp. 76-78). (EICS 2023 Companion - Companion of the 2023 ACM SIGCHI Symposium on Engineering Interactive Computing Systems). ACM Press. https://doi.org/10.1145/3596454.3597187

André, Maxime ; Bayet, Anthony ; JETZEN, Tobias et al. / Engineering User Interfaces with Beat Gestures. EICS 2023 Companion - Companion of the 2023 ACM SIGCHI Symposium on Engineering Interactive Computing Systems: Posters and Demos track. ACM Press, 2023. pp. 76-78 (EICS 2023 Companion - Companion of the 2023 ACM SIGCHI Symposium on Engineering Interactive Computing Systems).

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title = "Engineering User Interfaces with Beat Gestures",

abstract = "Beat gestures are biphasic up-and-down or back-and-forth movements of hand(s) that are associated with a specific meaning, such as in speech, or without, such as in rhythmic commands. Incorporating beat gesture recognition into user interface engineering involves dynamic recognition of hand pose, identification of movement direction, and calculation of beat number and frequency. We demonstrate a game that uses beat gestures for musical rhythm learning. We aim to understand the impact of real-time embodiment and guidance visualizations synthesizing user hands and gestures and considering the distance between virtual and real worlds.",

keywords = "Gesture-based user interfaces, gesture recognition",

author = "Maxime Andr{\'e} and Anthony Bayet and Tobias JETZEN and Pierre LUYCX and Maxime Cauz and Bruno Dumas",

note = "Publisher Copyright: {\textcopyright} 2023 Owner/Author.",

year = "2023",

month = jun,

day = "27",

doi = "10.1145/3596454.3597187",

language = "English",

series = "EICS 2023 Companion - Companion of the 2023 ACM SIGCHI Symposium on Engineering Interactive Computing Systems",

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booktitle = "EICS 2023 Companion - Companion of the 2023 ACM SIGCHI Symposium on Engineering Interactive Computing Systems",

address = "United States",

}

André, M, Bayet, A, JETZEN, T, LUYCX, P, Cauz, M & Dumas, B 2023, Engineering User Interfaces with Beat Gestures. in EICS 2023 Companion - Companion of the 2023 ACM SIGCHI Symposium on Engineering Interactive Computing Systems: Posters and Demos track. EICS 2023 Companion - Companion of the 2023 ACM SIGCHI Symposium on Engineering Interactive Computing Systems, ACM Press, pp. 76-78. https://doi.org/10.1145/3596454.3597187

Engineering User Interfaces with Beat Gestures. / André, Maxime; Bayet, Anthony; JETZEN, Tobias et al.
EICS 2023 Companion - Companion of the 2023 ACM SIGCHI Symposium on Engineering Interactive Computing Systems: Posters and Demos track. ACM Press, 2023. p. 76-78 (EICS 2023 Companion - Companion of the 2023 ACM SIGCHI Symposium on Engineering Interactive Computing Systems).

Research output: Contribution in Book/Catalog/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Engineering User Interfaces with Beat Gestures

AU - André, Maxime

AU - Bayet, Anthony

AU - JETZEN, Tobias

AU - LUYCX, Pierre

AU - Cauz, Maxime

AU - Dumas, Bruno

PY - 2023/6/27

Y1 - 2023/6/27

N2 - Beat gestures are biphasic up-and-down or back-and-forth movements of hand(s) that are associated with a specific meaning, such as in speech, or without, such as in rhythmic commands. Incorporating beat gesture recognition into user interface engineering involves dynamic recognition of hand pose, identification of movement direction, and calculation of beat number and frequency. We demonstrate a game that uses beat gestures for musical rhythm learning. We aim to understand the impact of real-time embodiment and guidance visualizations synthesizing user hands and gestures and considering the distance between virtual and real worlds.

AB - Beat gestures are biphasic up-and-down or back-and-forth movements of hand(s) that are associated with a specific meaning, such as in speech, or without, such as in rhythmic commands. Incorporating beat gesture recognition into user interface engineering involves dynamic recognition of hand pose, identification of movement direction, and calculation of beat number and frequency. We demonstrate a game that uses beat gestures for musical rhythm learning. We aim to understand the impact of real-time embodiment and guidance visualizations synthesizing user hands and gestures and considering the distance between virtual and real worlds.

KW - Gesture-based user interfaces

KW - gesture recognition

UR - https://dl.acm.org/doi/10.1145/3596454.3597187

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M3 - Conference contribution

T3 - EICS 2023 Companion - Companion of the 2023 ACM SIGCHI Symposium on Engineering Interactive Computing Systems

SP - 76

EP - 78

BT - EICS 2023 Companion - Companion of the 2023 ACM SIGCHI Symposium on Engineering Interactive Computing Systems

PB - ACM Press

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André M, Bayet A, JETZEN T, LUYCX P, Cauz M , Dumas B. Engineering User Interfaces with Beat Gestures. In EICS 2023 Companion - Companion of the 2023 ACM SIGCHI Symposium on Engineering Interactive Computing Systems: Posters and Demos track. ACM Press. 2023. p. 76-78. (EICS 2023 Companion - Companion of the 2023 ACM SIGCHI Symposium on Engineering Interactive Computing Systems). doi: 10.1145/3596454.3597187

Engineering User Interfaces with Beat Gestures

Abstract

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Keywords

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15th ACM SIGCHI Symposium on Engineering Interactive Computing Systems

La faculté d’Informatique et ses étudiants présents au KIKK Festival namurois 2021

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Engineering User Interfaces with Beat Gestures

Abstract

Publication series

Keywords

Access to Document

Other files and links

Fingerprint

Activities

15th ACM SIGCHI Symposium on Engineering Interactive Computing Systems

Press/Media

La faculté d’Informatique et ses étudiants présents au KIKK Festival namurois 2021

Cite this