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SomaTech: an exploratory interface for altering movement habits

Published: 26 April 2014 Publication History

Abstract

We propose SomaTech, a Kinect-based system that encourages users to expand understanding and awareness of their everyday movements. The system creates real-time auditory feedback based on the user's whole action, aiming toward re-education of habitual, potentially unsound movement patterns which are often ingrained within the brain. To do this, we draw inspiration from the field of somatics, which has well-studied prophylactic benefits. Our initial evaluation shows promising results that users become more aware of movement choices and are able to improve their efficiency after using the system.

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References

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Cited By

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  • (2023)A Simulcast System for Live Streaming and Virtual Avatar ConcertsJournal of the Korea Computer Graphics Society10.15701/kcgs.2023.29.2.2129:2(21-30)Online publication date: 1-Jun-2023
  • (2023)A Mapping Review of Real-Time Movement Sonification Systems for Movement RehabilitationIEEE Reviews in Biomedical Engineering10.1109/RBME.2022.318784016(672-686)Online publication date: 2023
  • (2022)An Embodied Sonification Model for Sit-to-Stand TransfersFrontiers in Psychology10.3389/fpsyg.2022.80686113Online publication date: 17-Feb-2022
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Published In

cover image ACM Conferences
CHI EA '14: CHI '14 Extended Abstracts on Human Factors in Computing Systems
April 2014
2620 pages
ISBN:9781450324748
DOI:10.1145/2559206
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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Publication History

Published: 26 April 2014

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Author Tags

  1. awareness
  2. exploration
  3. interface
  4. kinect
  5. learning
  6. movement
  7. somatics
  8. sonification

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CHI '14
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CHI '14: CHI Conference on Human Factors in Computing Systems
April 26 - May 1, 2014
Ontario, Toronto, Canada

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CHI EA '14 Paper Acceptance Rate 1,000 of 3,200 submissions, 31%;
Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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Cited By

View all
  • (2023)A Simulcast System for Live Streaming and Virtual Avatar ConcertsJournal of the Korea Computer Graphics Society10.15701/kcgs.2023.29.2.2129:2(21-30)Online publication date: 1-Jun-2023
  • (2023)A Mapping Review of Real-Time Movement Sonification Systems for Movement RehabilitationIEEE Reviews in Biomedical Engineering10.1109/RBME.2022.318784016(672-686)Online publication date: 2023
  • (2022)An Embodied Sonification Model for Sit-to-Stand TransfersFrontiers in Psychology10.3389/fpsyg.2022.80686113Online publication date: 17-Feb-2022
  • (2021)Rule-based multi-view human activity recognition system in real time using skeleton data from RGB-D sensorSoft Computing10.1007/s00500-021-05649-w27:1(405-421)Online publication date: 1-Mar-2021
  • (2018)Takes Tutu to BalletProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/31917702:1(1-30)Online publication date: 26-Mar-2018
  • (2017)Bio-Sensed and Embodied Participation in Interactive PerformanceProceedings of the Eleventh International Conference on Tangible, Embedded, and Embodied Interaction10.1145/3024969.3024998(197-208)Online publication date: 20-Mar-2017
  • (2017)Rule-Based Human Motion Tracking for Rehabilitation Exercises: Realtime Assessment, Feedback, and GuidanceIEEE Access10.1109/ACCESS.2017.27598015(21382-21394)Online publication date: 2017
  • (2017)Principles for Designing Body‐Centered Auditory FeedbackThe Wiley Handbook of Human Computer Interaction10.1002/9781118976005.ch18(371-403)Online publication date: 28-Dec-2017
  • (2016)Motion, CapturedProceedings of the 3rd International Symposium on Movement and Computing10.1145/2948910.2948938(1-6)Online publication date: 5-Jul-2016
  • (2016)Riemannian geometric approaches for measuring movement quality2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)10.1109/CVPRW.2016.129(1005-1005)Online publication date: Jun-2016
  • Show More Cited By

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