Article

Techniques have been developed to analyze walking gait using accelerometer and
gyroscope data from miniature inertial measurement units (IMU), but few attempts
have been made to use similar approaches for running gait. The purpose of this
study was to develop an algorithm capable of estimating running speed using a
single shank-mounted IMU. Raw acceleration and angular velocity were recorded
from an IMU sensor attached on the lateral side of the shank in the sagittal
plane and a method of reliably detecting the shank vertical and the minimal shank
velocity gait event was used to segment a running sequence into individual
strides. Through integration, the orientation of the shank segment was determined
and an estimate of stride-by-stride running speed was calculated by integrating
the acceleration data. The algorithm was verified using data collected from a
group of seven volunteers running on a treadmill at speeds between 2.50 m/s and
3.50 m/s. Over the entire speed range, the estimation results gave a percentage
root mean square error (%RMSE) of approximately 4.10%. With the accurate
estimation capability and portability, the use of the proposed system in outdoor
running gait analysis is promising.
CI - Copyright (c) 2011 Elsevier B.V. All rights reserved.

Langue : ANGLAIS