Paper Info
Title
Validation of Novel Relative Orientation and Inertial Sensor-to-Segment Alignment Algorithms for Estimating 3D Hip Joint Angles.
Abstract
Wearable sensor-based algorithms for estimating joint angles have seen great improvements in recent years. While the knee joint has garnered most of the attention in this area, algorithms for estimating hip joint angles are less available. Herein, we propose and validate a novel algorithm for this purpose with innovations in sensor-to-sensor orientation and sensor-to-segment alignment. The proposed approach is robust to sensor placement and does not require specific calibration motions. The accuracy of the proposed approach is established relative to optical motion capture and compared to existing methods for estimating relative orientation, hip joint angles, and range of motion (ROM) during a task designed to exercise the full hip range of motion (ROM) and fast walking using root mean square error (RMSE) and regression analysis. The RMSE of the proposed approach was less than that for existing methods when estimating sensor orientation (12.32 degrees and 11.82 degrees vs. 24.61 degrees and 23.76 degrees) and flexion/extension joint angles (7.88 degrees and 8.62 degrees vs. 14.14 degrees and 15.64 degrees). Also, ROM estimation error was less than 2.2 degrees during the walking trial using the proposed method. These results suggest the proposed approach presents an improvement to existing methods and provides a promising technique for remote monitoring of hip joint angles.
Year
DOI
Venue
2019
10.3390/s19235143
SENSORS
Keywords
DocType
Volume
3D joint kinematics,joint angles,inertial measurement units,inertial sensors,wearable sensors,IMU,motion tracking,functional rotation axes
Journal
19
Issue
ISSN
Citations 
23
1424-8220
2
PageRank 
References 
Authors
0.41
0
6
Name
Order
Citations
PageRank
Lukas Adamowicz120.41
Reed D Gurchiek252.15
Jonathan Ferri320.41
Anna T Ursiny420.74
Niccolo Fiorentino520.41
ryan s mcginnis6175.85