Document Detail


Using a robotic arm to assess the variability of motion sensors.
MedLine Citation:
PMID:  21893876     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
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.
Authors:
Lukas Gorzelniak; André Dias; Hubert Soyer; Alois Knoll; Alexander Horsch
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Studies in health technology and informatics     Volume:  169     ISSN:  0926-9630     ISO Abbreviation:  Stud Health Technol Inform     Publication Date:  2011  
Date Detail:
Created Date:  2011-09-06     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9214582     Medline TA:  Stud Health Technol Inform     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  897-901     Citation Subset:  T    
Affiliation:
Institut für Medizinische Statistik und Epidemiologie, Technische Universität München, Munich, Germany.
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