Eventos Anais de eventos
COBEM 2019
25th International Congress of Mechanical Engineering
A FOOT-MOUNTED WEARABLE DEVICE FOR ONLINE IDENTIFICATION OF GAIT PHASES
Submission Author:
Lucca Maitan , SP , Brazil
Co-Authors:
Lucca Maitan, Rafael Matumoto, jonathan campo, Juan Carlos Pérez Ibarra, Adriano Siqueira
Presenter: Adriano Siqueira
doi://10.26678/ABCM.COBEM2019.COB2019-0864
Abstract
Use of wearable devices is an efficient solution to collect quantitative information about gait with lower costs than standard gait analysis systems like force platforms. In this paper, we present the development and testing of a wearable device to be worn on the feet, capable of measure, store and transmit gait data. The device is equipped with two six-axis inertial measurement units (IMUs) to capture foot’s kinematics, two force-sensitive resistors (FSRs) to detect contact between foot and ground, and one Arduino Uno board to perform data processing. We demonstrated the utility of the developed device by performing online detection of the gait phases of healthy subjects. To do that, we propose two threshold-based algorithms for phase detection: one based on the FSR signals, and the other based on the sagittal angular velocity of the foot, measured with the IMU placed on the heel. Both algorithms where evaluated during treadmill walking by a healthy subject. Experimental results demonstrated the reliability of the proposed device to measure gait signals and to use those signals for gait phase detection. We also validated the feasibility of the phase detection relying solely on the inertial sensors
Keywords
Gait Analysis, gait phase detection, wearable devices, robotic rehabilitation, inertial sensors
