Using a robotic arm to assess the variability of motion sensors

Lukas Gorzelniak, André Dias, Hubert Soyer, Alois Knoll, Alexander Horsch

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

For the assessment of physical activity, motion sensors have become increasingly important. To assure a high accuracy of the generated sensor data, the measurement error of these devices needs to be determined. Sensor variability has been assessed with various types of mechanical shakers. We conducted a small feasibility study to explore if a programmable robotic arm can be a suitable tool for the assessment of variability between different accelerometers (inter-device variability). We compared the output of the accelerometers GT1M and GT3X (both ActiGraph) and RT3 (Stayhealthy) for two different movement sequences.

Original languageEnglish
Title of host publicationUser Centred Networked Health Care - Proceedings of MIE 2011
PublisherIOS Press
Pages897-901
Number of pages5
ISBN (Print)9781607508052
DOIs
StatePublished - 2011
Event23rd International Conference of the European Federation for Medical Informatics, MIE 2011 - Oslo, Norway
Duration: 28 Aug 201131 Aug 2011

Publication series

NameStudies in Health Technology and Informatics
Volume169
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

Conference23rd International Conference of the European Federation for Medical Informatics, MIE 2011
Country/TerritoryNorway
CityOslo
Period28/08/1131/08/11

Keywords

  • Accelerometer
  • Inter-device-variability
  • Robot
  • Validation

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