Detection of Spatio-Temporal Gait Parameters by Using Wearable Motion Sensors

This paper presents a method to detect the spatio-temporal parameters of gait by using wearable motion sensors with a gyro, accelerometer, and magnetic sensor. The detected gait parameters are as follows: stance (ST), double support (DS), and gait cycle (GC) time as temporal parameters, and the stride length (SL) as spatial parameter. Four motion sensors are attached on both thighs and shanks of users, and the sensor data are collected in a portable PC. The temporal parameters are estimated by finding walking events, and then the stride length is calculated with two gait models. The estimated parameters are compared to those obtained from a motion capture system (VICON system)

[1]  R Williamson,et al.  Gait event detection for FES using accelerometers and supervised machine learning. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[2]  Kenji Mase,et al.  Activity and Location Recognition Using Wearable Sensors , 2002, IEEE Pervasive Comput..

[3]  Ling Bao,et al.  Activity Recognition from User-Annotated Acceleration Data , 2004, Pervasive.

[4]  Kamiar Aminian,et al.  Ambulatory system for human motion analysis using a kinematic sensor: monitoring of daily physical activity in the elderly , 2003, IEEE Transactions on Biomedical Engineering.

[5]  S. Miyazaki,et al.  Long-term unrestrained measurement of stride length and walking velocity utilizing a piezoelectric gyroscope , 1997, IEEE Transactions on Biomedical Engineering.

[6]  Catherine Dehollain,et al.  Gait assessment in Parkinson's disease: toward an ambulatory system for long-term monitoring , 2004, IEEE Transactions on Biomedical Engineering.

[7]  M.M. Skelly,et al.  Real-time gait event detection for paraplegic FES walking , 2001, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[8]  I.P.I. Pappas,et al.  A reliable, gyroscope based gait phase detection sensor embedded in a shoe insole , 2002, Proceedings of IEEE Sensors.