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Saltate!: a sensor-based system to support dance beginners

Published: 04 April 2009 Publication History

Abstract

We present Saltate!, a wireless prototype system to support beginners of ballroom dancing. Saltate! acquires data from force sensors mounted under the dancers' feet, detects steps, and compares their timing to the timing of beats in the music playing. If it detects mistakes, Saltate! emphasizes the beats in the music acoustically to help the dancing couple stay in sync with the music.

References

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D.W.V. Linden, J.H. Cauraugh, and T.A. Greene. The effect of frequency of kinetic feedback on learning an isometric force production task in nondisabled subjects. Physical Therapy 1993, APTA Vol. 73, 79--87.
[2]
Akio Nakamura, Sou Tabata, Tomoya Ueda, Shinichiro Kiyofuji, and Yoshinori Kuno. Multimodal presentation method for a dance training system. Extended Abstracts of CHI 2005, ACM, 1685--1688.
[3]
Daniel Spelmezan and Jan Borchers. Real--time snowboard system. Extended Abstracts of CHI 2008, ACM, 3327--3332.
[4]
Masami Takahata, Kensuke Shiraki, Yutaka Sakane, and Yoichi Takebayashi. Sound feedback for powerful karate training. Proc. of NIME 2004. ACM, 13--18.
[5]
C.J. Winstein, P.S. Pohl, C. Cardinale, A. Green, L. Scholtz, and C.S. Waters. Learning a partial-weight-bearing skill: effectiveness of two forms of feedback. Physical Therapy 1996, APTA Vol. 76, 985--993.
[6]
Gabriele Wulf. Attention and Motor Skill Learning. Human Kinetics, 2007.

Cited By

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  • (2023)Timing in Lower Limb Complex Movement Tests for DanceSport Athletes: Relation between FitLight Trainer and IMU MeasurementsSensors10.3390/s2303145623:3(1456)Online publication date: 28-Jan-2023
  • (2023)SYNCUP: Vision-Based Practice Support for Synchronized DancingGetMobile: Mobile Computing and Communications10.1145/3614214.361422227:2(29-33)Online publication date: 5-Aug-2023
  • (2022)Recognizing Solo Jazz Dance Moves Using a Single Leg-Attached Inertial Wearable DeviceSensors10.3390/s2207244622:7(2446)Online publication date: 22-Mar-2022
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Published In

cover image ACM Conferences
CHI EA '09: CHI '09 Extended Abstracts on Human Factors in Computing Systems
April 2009
2470 pages
ISBN:9781605582474
DOI:10.1145/1520340
Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 April 2009

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Author Tags

  1. dancing
  2. motor skill learning
  3. wearable computing
  4. wireless sensor system

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  • Extended-abstract

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CHI '09
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CHI EA '09 Paper Acceptance Rate 385 of 1,130 submissions, 34%;
Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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Cited By

View all
  • (2023)Timing in Lower Limb Complex Movement Tests for DanceSport Athletes: Relation between FitLight Trainer and IMU MeasurementsSensors10.3390/s2303145623:3(1456)Online publication date: 28-Jan-2023
  • (2023)SYNCUP: Vision-Based Practice Support for Synchronized DancingGetMobile: Mobile Computing and Communications10.1145/3614214.361422227:2(29-33)Online publication date: 5-Aug-2023
  • (2022)Recognizing Solo Jazz Dance Moves Using a Single Leg-Attached Inertial Wearable DeviceSensors10.3390/s2207244622:7(2446)Online publication date: 22-Mar-2022
  • (2022)Smart insoles review (2008-2021): Applications, potentials, and futureSmart Health10.1016/j.smhl.2022.10030125(100301)Online publication date: Sep-2022
  • (2021)Dance Tempo Estimation Using a Single Leg-Attached 3D AccelerometerSensors10.3390/s2123806621:23(8066)Online publication date: 2-Dec-2021
  • (2021)SyncUpProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/34781205:3(1-25)Online publication date: 14-Sep-2021
  • (2021)Interactive Dance Support System Using Spatial Augmented Reality2021 Nicograph International (NicoInt)10.1109/NICOINT52941.2021.00013(27-33)Online publication date: Jul-2021
  • (2019)Using Foot and Knee Movement and Posture Information to Mitigate the Probability of Injuries in Functional TrainingDigital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Human Body and Motion10.1007/978-3-030-22216-1_12(153-169)Online publication date: 26-Jul-2019
  • (2019)A Platform for Assessing Physical Education Activity EngagementIntelligent Human Systems Integration 201910.1007/978-3-030-11051-2_42(271-276)Online publication date: 6-Jan-2019
  • (2018)NrityaGuru: A Dance Tutoring System for Bharatanatyam Using KinectComputer Vision, Pattern Recognition, Image Processing, and Graphics10.1007/978-981-13-0020-2_42(481-493)Online publication date: 26-Apr-2018
  • Show More Cited By

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