skip to main content
10.1145/3170427.3188692acmconferencesArticle/Chapter ViewAbstractPublication PageschiConference Proceedingsconference-collections
abstract

Designing Auditory Feedback from Wearable Weightlifting Devices

Published:20 April 2018Publication History

ABSTRACT

While wearable devices for fitness have gained broad popularity, most are focused on tracking general activity types rather than correcting exercise forms, which is extremely important for weightlifters. We interviewed 7 frequent gym-goers about their opinions and expectations for feedback from wearable devices for weightlifting. We describe their desired feedback, and how their expectations and concerns could be balanced in future wearable fitness technologies.

References

  1. Fabio Buttussi, Luca Chittaro, and Daniele Nadalutti. 2006. Bringing mobile guides and fitness activities together: a solution based on an embodied virtual trainer. In Proceedings of the 8th conference on Human-computer interaction with mobile devices and services, 29--36. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Gregg Calhoon and Andrew C. Fry. 1999. Injury rates and profiles of elite competitive weightlifters. Journal of athletic training 34, 3: 232.Google ScholarGoogle Scholar
  3. Sunny Consolvo, David W. McDonald, Tammy Toscos, Mike Y. Chen, Jon Froehlich, Beverly Harrison, Predrag Klasnja, Anthony LaMarca, Louis LeGrand, and Ryan Libby. 2008. Activity sensing in the wild: a field trial of ubifit garden. In Proceedings of the SIGCHI conference on human factors in computing systems, 1797--1806. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Yousef Kowsar, Masud Moshtaghi, Eduardo Velloso, Lars Kulik, and Christopher Leckie. 2016. Detecting unseen anomalies in weight training exercises. In Proceedings of the 28th Australian Conference on Computer-Human Interaction, 517--526. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Kyle Rector, Cynthia L. Bennett, and Julie A. Kientz. 2013. Eyes-free yoga: an exergame using depth cameras for blind & low vision exercise. In Proceedings of the 15th International ACM SIGACCESS Conference on Computers and Accessibility, 12. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Eduardo Velloso, Andreas Bulling, Hans Gellersen, Wallace Ugulino, and Hugo Fuks. 2013. Qualitative activity recognition of weight lifting exercises. In Proceedings of the 4th Augmented Human International Conference, 116--123. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Darragh Whelan, Martin O'Reilly, Tomás E. Ward, Eamonn Delahunt, and Brian Caulfield. 2016. Evaluating performance of the lunge exercise with multiple and individual inertial measurement units. In Proceedings of the 10th EAI International Conference on Pervasive Computing Technologies for Healthcare, 101--108. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Designing Auditory Feedback from Wearable Weightlifting Devices

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Conferences
      CHI EA '18: Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems
      April 2018
      3155 pages
      ISBN:9781450356213
      DOI:10.1145/3170427

      Copyright © 2018 Owner/Author

      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.

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 20 April 2018

      Check for updates

      Qualifiers

      • abstract

      Acceptance Rates

      CHI EA '18 Paper Acceptance Rate1,208of3,955submissions,31%Overall Acceptance Rate6,164of23,696submissions,26%

      Upcoming Conference

      CHI '24
      CHI Conference on Human Factors in Computing Systems
      May 11 - 16, 2024
      Honolulu , HI , USA

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader