Title :
Wearable sensor systems in biomechanics: assessment of unrestrained walking features
Author :
Sabatini, Angelo M.
Author_Institution :
Scuola Superiore Sant´´Anna, Pisa, Italy
Abstract :
A wearable sensor system is proposed to determine several walking features. including stride length, cadence, walking speed, incline. The sensor system is composed of an inertial measurement unit (IMU) mounted on the foot instep and a biaxial accelerometer mounted on the waist. The IMU integrates a biaxial accelerometer and a rate gyroscope. Both the foot gyroscope and the waist accelerometer are capable to accurately estimate the cadence. Strapdown integration applied to the inertial data allows to reconstruct the trajectory in the sagittal plane of the sensed anatomical point on the foot, yielding the opportunity to determine the desired walking features. Double-integration of the waist accelerometer signals to determine the trunk vertical displacement and root mean square analysis of the waist acceleration modulus allow to construct two predictors of the walking speed, which integrate the information gathered from the inertial estimator. In this paper, preliminary results concerning the accuracy of level walking speed prediction by different methods are presented.
Keywords :
acceleration measurement; accelerometers; biomedical equipment; biomedical measurement; gait analysis; gyroscopes; inertial systems; patient monitoring; velocity measurement; algorithmic implementation; biomechanics; cadence; double-integration; foot instep; gait analysis; gait segmentation; incline; inertial measurement unit; rate gyroscope; rehabilitation treatment; root mean square analysis; spatiotemporal parameters; strapdown integration; stride length; trunk vertical displacement; unrestrained walking features; waist acceleration modulus; waist biaxial accelerometer; walking speed; wearable sensor systems; Accelerometers; Biomechanics; Foot; Gyroscopes; Information analysis; Legged locomotion; Measurement units; Root mean square; Sensor systems; Wearable sensors;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2004. IMTC 04. Proceedings of the 21st IEEE
Print_ISBN :
0-7803-8248-X
DOI :
10.1109/IMTC.2004.1351203