DocumentCode :
1242707
Title :
Assessment of walking features from foot inertial sensing
Author :
Sabatini, Angelo M. ; Martelloni, Chiara ; Scapellato, Sergio ; Cavallo, Filippo
Author_Institution :
Scuola Superiore Sant´´Anna, Pisa, Italy
Volume :
52
Issue :
3
fYear :
2005
fDate :
3/1/2005 12:00:00 AM
Firstpage :
486
Lastpage :
494
Abstract :
An ambulatory monitoring system is developed for the estimation of spatio-temporal gait parameters. The inertial measurement unit embedded in the system is composed of one biaxial accelerometer and one rate gyroscope, and it reconstructs the sagittal trajectory of a sensed point on the instep of the foot. A gait phase segmentation procedure is devised to determine temporal gait parameters, including stride time and relative stance; the procedure allows to define the time intervals needed for carrying an efficient implementation of the strapdown integration, which allows to estimate stride length, walking speed, and incline. The measurement accuracy of walking speed and inclines assessments is evaluated by experiments carried on adult healthy subjects walking on a motorized treadmill. Root-mean-square errors less than 0.18 km/h (speed) and 1.52% (incline) are obtained for tested speeds and inclines varying in the intervals [3, 6] km/h and [-5, +15]%, respectively. Based on the results of these experiments, it is concluded that foot inertial sensing is a promising tool for the reliable identification of subsequent gait cycles and the accurate assessment of walking speed and incline.
Keywords :
accelerometers; gait analysis; gyroscopes; medical signal processing; parameter estimation; adult healthy subjects; ambulatory monitoring system; biaxial accelerometer; foot inertial sensing; gait phase segmentation; gyroscope; incline estimation; motorized treadmill; relative stance; root-mean-square errors; sagittal trajectory reconstruction; spatio-temporal gait parameter estimation; strapdown integration; stride length estimation; stride time; temporal gait parameters; walking features; walking speed estimation; Acceleration; Accelerometers; Condition monitoring; Foot; Gyroscopes; Legged locomotion; Measurement units; Phase estimation; Thigh; Velocity measurement; Ambulatory measurements; gait analysis; inertial sensing; uphill and downhill walking; Acceleration; Adult; Algorithms; Diagnosis, Computer-Assisted; Foot; Gait; Humans; Male; Models, Biological; Monitoring, Ambulatory; Reproducibility of Results; Sensitivity and Specificity; Walking;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/TBME.2004.840727
Filename :
1396389
Link To Document :
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