Title :
Comparing adaptive algorithms to measure temporal gait parameters using lower body mounted inertial sensors
Author :
Patterson, Matthew R. ; Caulfield, Brian
Author_Institution :
CLARITY Centre for Sensor Web Technol., Univ. Coll. Dublin, Dublin, Ireland
fDate :
Aug. 28 2012-Sept. 1 2012
Abstract :
The purpose of this research was to compare different adaptive algorithms in terms of their ability to determine temporal gait parameters based on data acquired from inertial measurement units (IMUs). Eight subjects performed 25 walking trials over a force plate under five different conditions; normal, fast, slow, simulated stiff ankle and simulated stiff knee walking. Data from IMUs worn on the shanks and on the feet were used to identify temporal gait features using three different adaptive algorithms (Green, Selles & Sabatini). Each method´s ability to estimate temporal events was compared to the gold standard force plate method for stance time (Greene, r= .990, Selles, r= 0.865, Sabatini, r= 0.980) and double support time (Greene, r= .837, Selles, r= .583, Sabatini, r= .745). The Greene method of estimating gait events from inertial sensor data resulted in the most accurate stance and double support times.
Keywords :
biological techniques; gait analysis; inertial systems; adaptive algorithm; fast walking; force plate method; inertial measurement units; lower body mounted inertial sensor; normal walking; simulated stiff ankle walking; simulated stiff knee walking; slow walking; temporal gait parameter; walking trial; Acceleration; Adaptive algorithms; Foot; Gyroscopes; Integrated circuits; Legged locomotion; Sensors; Acceleration; Actigraphy; Adult; Algorithms; Female; Gait; Humans; Leg; Male; Monitoring, Ambulatory; Reproducibility of Results; Sensitivity and Specificity; Transducers;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-4119-8
Electronic_ISBN :
1557-170X
DOI :
10.1109/EMBC.2012.6346969