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Titel:

Using a robotic arm to assess the variability of motion sensors.

Dokumenttyp:
Journal Article; Research Support, Non-U.S. Gov't
Autor(en):
Gorzelniak, L; Dias, A; Soyer, H; Knöll, A; Horsch, A
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...     »
Zeitschriftentitel:
Stud Health Technol Inform
Jahr:
2011
Band / Volume:
169
Seitenangaben Beitrag:
897-901
Sprache:
eng
PubMed:
http://view.ncbi.nlm.nih.gov/pubmed/21893876
Print-ISSN:
0926-9630
TUM Einrichtung:
Institut für Medizinische Statistik und Epidemiologie
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