Forró Trainer: automated feedback for partner dance learning

Augusto Dias Pereira Dos Santos; Kalina Yacef; Roberto Martinez-Maldonado

doi:10.1145/3099023.3099032

Forró Trainer: automated feedback for partner dance learning

Augusto Dias Pereira Dos Santos, Kalina Yacef, Roberto Martinez-Maldonado

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other › peer-review

7 Citations (Scopus)

Abstract

In partner dance classes, teachers typically manage several students at the same time. For that reason, the amount of feedback provided in class is quite limited and students do not have many resources to get other feedback. In this demo paper, we present Forró Trainer, a tool that allows students to practice dance exercises by themselves, receiving automatically generated feedback about their performance. The system runs on a smartphone app and focuses on a fundamental aspect of dancing: learning to follow the rhythm of the music. The app detects the student's movements, using the mobile's accelerometer, extracts aspects of the rhythm and provides feedback. We present a description of the tool, the mistakes it detects, the automated feedback and the benefits that it may provide for dance students.

Original language	English
Title of host publication	UMAP'17 - Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization
Editors	Federica Cena, Michel Desmarais
Place of Publication	New York NY USA
Publisher	Association for Computing Machinery (ACM)
Pages	103-104
Number of pages	2
ISBN (Electronic)	9781450350679
DOIs	https://doi.org/10.1145/3099023.3099032
Publication status	Published - 2017
Externally published	Yes
Event	International Conference on User Modelling, Adaptation, and Personalization (was AH and UM) 2017 - Bratislava, Slovakia Duration: 9 Jul 2017 → 12 Jul 2017 Conference number: 25th https://www.um.org/umap2017/index.html https://dl.acm.org/doi/proceedings/10.1145/3079628 (Proceedings)

Conference

Conference	International Conference on User Modelling, Adaptation, and Personalization (was AH and UM) 2017
Abbreviated title	UMAP 2017
Country/Territory	Slovakia
City	Bratislava
Period	9/07/17 → 12/07/17
Internet address	https://www.um.org/umap2017/index.html https://dl.acm.org/doi/proceedings/10.1145/3079628 (Proceedings)

Keywords

Automated feedback
Dance education
Motor learning
Wearable devices

Access to Document

10.1145/3099023.3099032

Cite this

Dos Santos, Augusto Dias Pereira ; Yacef, Kalina ; Martinez-Maldonado, Roberto. / Forró Trainer : automated feedback for partner dance learning. UMAP'17 - Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization. editor / Federica Cena ; Michel Desmarais. New York NY USA : Association for Computing Machinery (ACM), 2017. pp. 103-104

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title = "Forr{\'o} Trainer: automated feedback for partner dance learning",

abstract = "In partner dance classes, teachers typically manage several students at the same time. For that reason, the amount of feedback provided in class is quite limited and students do not have many resources to get other feedback. In this demo paper, we present Forr{\'o} Trainer, a tool that allows students to practice dance exercises by themselves, receiving automatically generated feedback about their performance. The system runs on a smartphone app and focuses on a fundamental aspect of dancing: learning to follow the rhythm of the music. The app detects the student's movements, using the mobile's accelerometer, extracts aspects of the rhythm and provides feedback. We present a description of the tool, the mistakes it detects, the automated feedback and the benefits that it may provide for dance students.",

keywords = "Automated feedback, Dance education, Motor learning, Wearable devices",

author = "{Dos Santos}, {Augusto Dias Pereira} and Kalina Yacef and Roberto Martinez-Maldonado",

year = "2017",

doi = "10.1145/3099023.3099032",

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publisher = "Association for Computing Machinery (ACM)",

address = "United States of America",

note = "International Conference on User Modelling, Adaptation, and Personalization (was AH and UM) 2017, UMAP 2017 ; Conference date: 09-07-2017 Through 12-07-2017",

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}

Dos Santos, ADP, Yacef, K & Martinez-Maldonado, R 2017, Forró Trainer: automated feedback for partner dance learning. in F Cena & M Desmarais (eds), UMAP'17 - Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery (ACM), New York NY USA, pp. 103-104, International Conference on User Modelling, Adaptation, and Personalization (was AH and UM) 2017, Bratislava, Slovakia, 9/07/17. https://doi.org/10.1145/3099023.3099032

Forró Trainer: automated feedback for partner dance learning. / Dos Santos, Augusto Dias Pereira; Yacef, Kalina; Martinez-Maldonado, Roberto.
UMAP'17 - Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization. ed. / Federica Cena; Michel Desmarais. New York NY USA: Association for Computing Machinery (ACM), 2017. p. 103-104.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other › peer-review

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T1 - Forró Trainer

T2 - International Conference on User Modelling, Adaptation, and Personalization (was AH and UM) 2017

AU - Dos Santos, Augusto Dias Pereira

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N1 - Conference code: 25th

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N2 - In partner dance classes, teachers typically manage several students at the same time. For that reason, the amount of feedback provided in class is quite limited and students do not have many resources to get other feedback. In this demo paper, we present Forró Trainer, a tool that allows students to practice dance exercises by themselves, receiving automatically generated feedback about their performance. The system runs on a smartphone app and focuses on a fundamental aspect of dancing: learning to follow the rhythm of the music. The app detects the student's movements, using the mobile's accelerometer, extracts aspects of the rhythm and provides feedback. We present a description of the tool, the mistakes it detects, the automated feedback and the benefits that it may provide for dance students.

AB - In partner dance classes, teachers typically manage several students at the same time. For that reason, the amount of feedback provided in class is quite limited and students do not have many resources to get other feedback. In this demo paper, we present Forró Trainer, a tool that allows students to practice dance exercises by themselves, receiving automatically generated feedback about their performance. The system runs on a smartphone app and focuses on a fundamental aspect of dancing: learning to follow the rhythm of the music. The app detects the student's movements, using the mobile's accelerometer, extracts aspects of the rhythm and provides feedback. We present a description of the tool, the mistakes it detects, the automated feedback and the benefits that it may provide for dance students.

KW - Automated feedback

KW - Dance education

KW - Motor learning

KW - Wearable devices

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BT - UMAP'17 - Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization

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Y2 - 9 July 2017 through 12 July 2017

ER -

Forró Trainer: automated feedback for partner dance learning

Abstract

Conference

Keywords

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