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Challenges in measuring partner dancing skills via wearable accelerometers

Published: 19 June 2020 Publication History

Abstract

Social partner dancing is a fun but challenging activity requiring different motion related skills. Common criteria used by professionals to assess the quality of this type of dancing fall in the categories of timing, technique and teamwork (often referred to as ``the 3 Ts'') and variety of motion ({\em i.e.} ``moves''). We focus on the teamwork and variety skills for practitioners of a type of Swing dancing called Balboa. Our dataset consists of the wearable accelerometer data collected from the participants to 3 different Balboa social dance contests. Panels of professional dancers judged the contests. Later, some of those professional dancers evaluated the skills of each participant by watching video recordings of the contests. We propose four novel measures for teamwork and motion variety and we evaluate them versus the expert assessments and also activity based labels. Our preliminary results show that the measures can be useful for activity recognition and somehow useful for teamwork assessment.

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Cited By

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  • (2024)Kinematic Diversity and Rhythmic Alignment in Choreographic Quality Transformers for Dance Quality AssessmentIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2024.336045234:7(5677-5692)Online publication date: Jul-2024
  • (2024)Development of a wearable activity tracker based on BBC micro:bit and its performance analysis for detecting bachata dance stepsScientific Reports10.1038/s41598-024-78064-414:1Online publication date: 28-Dec-2024
  • (2022)Wearable Choreographer: Designing Soft-Robotics for Dance PracticeProceedings of the 2022 ACM Designing Interactive Systems Conference10.1145/3532106.3533499(1581-1596)Online publication date: 13-Jun-2022

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      cover image ACM Conferences
      WearSys '20: Proceedings of the 6th ACM Workshop on Wearable Systems and Applications
      June 2020
      42 pages
      ISBN:9781450380133
      DOI:10.1145/3396870
      • Program Chairs:
      • Vu Tran,
      • Ashwin Ashok
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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      Published: 19 June 2020

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      Author Tags

      1. accelerometry
      2. activity recognition
      3. arts
      4. dance
      5. skill level assessment
      6. wearable sensors

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      View all
      • (2024)Kinematic Diversity and Rhythmic Alignment in Choreographic Quality Transformers for Dance Quality AssessmentIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2024.336045234:7(5677-5692)Online publication date: Jul-2024
      • (2024)Development of a wearable activity tracker based on BBC micro:bit and its performance analysis for detecting bachata dance stepsScientific Reports10.1038/s41598-024-78064-414:1Online publication date: 28-Dec-2024
      • (2022)Wearable Choreographer: Designing Soft-Robotics for Dance PracticeProceedings of the 2022 ACM Designing Interactive Systems Conference10.1145/3532106.3533499(1581-1596)Online publication date: 13-Jun-2022

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