Magneto-Gyro Wearable Sensor Algorithm for Trunk Sway Estimation During Walking and Running Gait

Trunk sway is a critical gait parameter associated with walking stability and joint loading. This paper introduces a novel algorithm to estimate trunk sway based on magnetometer and gyroscope sensor fusion. An initial experiment was performed to determine the optimal placement of the wearable sensor...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:IEEE sensors journal Ročník 17; číslo 2; s. 480 - 486
Hlavní autori: Shull, Peter B., Junkai Xu, Bo Yu, Xiangyang Zhu
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: IEEE 15.01.2017
Predmet:
accelerometer
Estimation
Gyroscopes
IMU
Legged locomotion
Magnetic sensors
magnetometer
Magnetometers
Wearable sensing
Wearable sensors
ISSN:1530-437X, 1558-1748
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí:Trunk sway is a critical gait parameter associated with walking stability and joint loading. This paper introduces a novel algorithm to estimate trunk sway based on magnetometer and gyroscope sensor fusion. An initial experiment was performed to determine the optimal placement of the wearable sensor device on the back and a second experiment was performed to characterize the accuracy of the algorithm. Ten human subjects walked, fast walked, and ran on a treadmill with normal, slightly increased or significantly increased trunk sway. Subjects wore a single magneto-inertial measurement unit (IMU) and a standard set of reflective motion-capture markers on their back. Magneto-gyro algorithm trunk sway estimations were compared with estimations from other common wearable sensor algorithms and errors were determined via comparison with trunk sway measured from motion capture. Overall, the magneto-gyro algorithm was the most accurate (RMSE = 1.7 ± 0.7°) followed by algorithms based on a single three-axis magnetometer (RMSE = 2.5 ± 1.8°), IMU gradient descent (RMSE = 2.9 ± 3.4°), a single three-axis gyroscope (RMSE = 3.2 ± 2.4°), magneto-IMU Kalman filter (RMSE = 8.5 ± 5.5°), and a single accelerometer (RMSE = 16.7 ± 11.2°). Optimal placement of a wearable sensor for estimating trunk sway was along the spine between the T7 -T12 vertebrae. The presented algorithm based on magnetometer and gyroscope sensor fusion could enable more precise trunk sensing for clinical gait applications outside the laboratory.
ISSN:1530-437X
1558-1748
DOI:10.1109/JSEN.2016.2630938