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Hans Gellersen

Qualitative activity recognition of weight lifting exercises

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

DOI

  • Eduardo Velloso
  • ,
  • Andreas Bulling
  • ,
  • Hans Gellersen
  • Wallace Ugulino
  • ,
  • Hugo Fuks
Research on activity recognition has traditionally focused on discriminating between different activities, i.e. to predict which activity was performed at a specific point in time. The quality of executing an activity, the how (well), has only received little attention so far, even though it potentially provides useful information for a large variety of applications. In this work we define quality of execution and investigate three aspects that pertain to qualitative activity recognition: specifying correct execution, detecting execution mistakes, providing feedback on the to the user. We illustrate our approach on the example problem of qualitatively assessing and providing feedback on weight lifting exercises. In two user studies we try out a sensor- and a model-based approach to qualitative activity recognition. Our results underline the potential of model-based assessment and the positive impact of real-time user feedback on the quality of execution.
Original languageEnglish
Title of host publicationProceedings of the 4th Augmented Human International Conference
Number of pages8
PublisherACM
Publication year2013
Pages116-123
ISBN (print)978-1-4503-1904-1
DOIs
Publication statusPublished - 2013
Externally publishedYes

    Research areas

  • qualitative activity recognition, real-time user feedback, weight lifting

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