How did I do?: Automatic Skill Assessment from Activity Data

Roisin McNaney, Aftab Khan, Eugen Berlin, Sebastian Mellor, Robin Thompson, Nils Hammerla, Patrick Olivier, Thomas Ploetz

Research output: Contribution to journalArticle (Academic Journal)peer-review

Abstract

specific activities that a person pursues, is one of the core concerns of mobile and ubiquitous computing. Multimodal sensing facilities of modern mobile devices allow for detailed capture of contextual information, most importantly movement data recorded with inertial measurement units that are now standard in most mobile devices.
The majority of HAR applications aim at automatically documenting when something of interest has happened and what that was. For example, the popular moves app on iOS and Android devices" automatically records any walking, cycling, and running [a user does]"[7] and as such automatically generates a life log for those interested in their daily movement patterns. Beyond the mere recognition of certain activities of interest, few applications currently go a step further and analyze the quality of a person …
Original languageEnglish
Pages (from-to)18-22
JournalGetMobile: Mobile Computing and Communications
Volume19
Issue number4
Publication statusPublished - 2016

Structured keywords

  • Digital Health

Keywords

  • skill assessment
  • accelerometer
  • activity
  • surgery

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