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Title:

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

Document type:
Journal Article; Research Support, Non-U.S. Gov't
Author(s):
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...     »
Journal title abbreviation:
Stud Health Technol Inform
Year:
2011
Journal volume:
169
Pages contribution:
897-901
Language:
eng
Pubmed ID:
http://view.ncbi.nlm.nih.gov/pubmed/21893876
Print-ISSN:
0926-9630
TUM Institution:
Institut für Medizinische Statistik und Epidemiologie
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