@inproceedings{a0ac0d8ed8274c79868cc5e104bcf56a,
title = "Using a robotic arm to assess the variability of motion sensors",
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.",
keywords = "Accelerometer, Inter-device-variability, Robot, Validation",
author = "Lukas Gorzelniak and Andr{\'e} Dias and Hubert Soyer and Alois Knoll and Alexander Horsch",
year = "2011",
doi = "10.3233/978-1-60750-806-9-897",
language = "English",
isbn = "9781607508052",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press",
pages = "897--901",
booktitle = "User Centred Networked Health Care - Proceedings of MIE 2011",
note = "23rd International Conference of the European Federation for Medical Informatics, MIE 2011 ; Conference date: 28-08-2011 Through 31-08-2011",
}