Author(s)

Benoît Sijobert^1*, Mourad Benoussaad¹, Jennifer Denys¹, Roger Pissard-Gibollet², Christian Geny³, Christine Azevedo Coste¹

¹DEMAR, INRIA-LIRMM, Montpellier, France.
²INRIA, Montbonnot, France.
³Neurological Department, CHU Gui de Chauliac, Montpellier, France.

As low cost and highly portable sensors, inertial measurements units (IMU) have become increas-ingly used in gait analysis, embodying an efficient alternative to motion capture systems. Mean-while, being able to compute reliably accurate spatial gait parameters using few sensors remains a relatively complex problematic. Providing a clinical oriented solution, our study presents a gy-rometer and accelerometer based algorithm for stride length estimation. Compared to most of the numerous existing works where only an averaged stride length is computed from several IMU, or where the use of the magnetometer is incompatible with everyday use, our challenge here has been to extract each individual stride length in an easy-to-use algorithm requiring only one inertial sensor attached to the subject shank. Our results were validated on healthy subjects and patients suffering from Parkinson’s disease (PD). Estimated stride lengths were compared to GAITRite© walkway system data: the mean error over all the strides was less than 6% for healthy group and 10.3% for PD group. This method provides a reliable portable solution for monitoring the in-stantaneous stride length and opens the way to promising applications.

Inertial Measurement Unit (IMU), Stride Length, Gait Analysis, Parkinson’s Disease, Biologging

Sijobert, B. , Benoussaad, M. , Denys, J. , Pissard-Gibollet, R. , Geny, C. and Coste, C. (2015) Implementation and Validation of a Stride Length Estimation Algorithm, Using a Single Basic Inertial Sensor on Healthy Subjects and Patients Suffering from Parkinson’s Disease. Health, 7, 704-714. doi: 10.4236/health.2015.76084.