Abstract
Estimating instantaneous 3D Centre of Mass velocity (VCOM) using wearables can improve ambulatory gait monitoring. Inertial Measurement Units (IMU) are commonly used to estimate VCOM, although, studies have either measured only the magnitude, or use machine learning methods. Here, we propose a three IMU setup, where the VCOM is obtained by a complementary filter method. This method fuses high frequency information achieved using strapdown integration of accelerations measured at the pelvis with low frequency information of VCOM obtained from foot velocities. This method is applied in variable gait which includes turns. The root mean square of the error between the IMU estimated VCOM against a reference VICON measurement was found to be 0.1 ± 0.02 m/s across all walking tasks. This method provides a drift free ambulatory estimation of CoM velocity using minimal IMUs.
Original language | English |
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Title of host publication | 2020 IEEE Sensors |
Place of Publication | Piscataway, NJ |
Publisher | IEEE |
Number of pages | 4 |
ISBN (Electronic) | 978-1-7281-6801-2 |
ISBN (Print) | 978-1-7281-6802-9 |
DOIs | |
Publication status | Published - 9 Dec 2020 |
Event | IEEE Sensors 2020 - Virtual Event, Virtual, Rotterdam, Netherlands Duration: 25 Oct 2020 → 28 Oct 2020 https://2020.ieee-sensorsconference.org/ |
Publication series
Name | Proceedings of IEEE Sensors |
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Volume | 2020-October |
ISSN (Print) | 1930-0395 |
ISSN (Electronic) | 2168-9229 |
Conference
Conference | IEEE Sensors 2020 |
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Country/Territory | Netherlands |
City | Virtual, Rotterdam |
Period | 25/10/20 → 28/10/20 |
Internet address |
Keywords
- 2021 OA procedure