Understanding movement variability of simplistic gestures using an inertial sensor

Miguel Xochicale, Chris Baber, Mourad Oussalah

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present a preliminary experiment to understand the variability of six simple movements. Six participants. wearing inertial measurement units on their wrist. performed six actions. The data collected were analysed using time-delay embedding theorem, PCA and percentage of cumulative energy to characterise variability in these movements. Of these movements, circular and 8-shape movements show a constant trend between participants; however, such a trend is not evident for static, horizontal, vertical and diagonal movements. Such analysis can be useful in determining different states of interactions with the display of user's behavior (enthusiasm, boredom, tiredness or confusion) over the course of training, practice or rehabilitation.

Original languageEnglish
Title of host publicationPerDis 2016 - Proceedings of the 5th ACM International Symposium on Pervasive Displays
EditorsJorg Muller, Vassilis Kostakos, Nemanja Memarovic, Timo Ojala
PublisherAssociation for Computing Machinery
Pages239-240
Number of pages2
ISBN (Electronic)9781450343664
DOIs
Publication statusPublished - 20 Jun 2016
Event5th ACM International Symposium on Pervasive Displays, PerDis 2016 - Oulu, Finland
Duration: 20 Jun 201622 Jun 2016

Publication series

NamePerDis 2016 - Proceedings of the 5th ACM International Symposium on Pervasive Displays

Conference

Conference5th ACM International Symposium on Pervasive Displays, PerDis 2016
Country/TerritoryFinland
CityOulu
Period20/06/1622/06/16

Keywords

  • Activity recognition
  • Dimensionality reduction
  • Phase space reconstruction
  • Time-delay embedding

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications

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