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.
authors: Institut für Medizinische Statistik und Epidemiologie, Technische Universität München, Munich, Germany. gorzelniak@imse.med.tu-muenchen.de
authors: Lukas
authors: L
authors: Gorzelniak
authors: André
authors: A
authors: Dias
authors: Hubert
authors: H
authors: Soyer
authors: Alois
authors: A
authors: Knoll
authors: Alexander
authors: A
authors: Horsch
mesh_terms: D000054:Acceleration; D002138:Calibration; D004734:Energy Metabolism; D004867:Equipment Design; D006801:Humans; D008490:Medical Informatics / Q000379:methods*; D018670:Monitoring, Ambulatory / Q000379:methods*; D009038:Motion; D009043:Motor Activity; D009068:Movement; D015203:Reproducibility of Results; D012371:Robotics; D059629:Signal-To-Noise Ratio