Localization and velocity tracking of human via 3 IMU sensors

In sports training and exercises like walking and jogging, the velocity and position of the exercise people is very crucial for motion evaluation. A simple wearable system and corresponding method for velocity monitoring using minimal sensors can be very useful for daily use. In this work, a velocit...

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Main Authors: Yuan, Qilong, Chen, I-Ming
Other Authors: School of Mechanical and Aerospace Engineering
Format: Article
Language:English
Published: 2016
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Online Access:https://hdl.handle.net/10356/81720
http://hdl.handle.net/10220/39608
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-817202023-03-04T17:14:39Z Localization and velocity tracking of human via 3 IMU sensors Yuan, Qilong Chen, I-Ming School of Mechanical and Aerospace Engineering Human velocity tracking; IMUs; Inertial sensors In sports training and exercises like walking and jogging, the velocity and position of the exercise people is very crucial for motion evaluation. A simple wearable system and corresponding method for velocity monitoring using minimal sensors can be very useful for daily use. In this work, a velocity tracking and localization method using only three IMU sensors is introduced. The three sensors are located at the right shank, right thigh and the pelvis to measure the kinematics of the lower limbs. In the method, a reference root point on the pelvis is chosen to represent the velocity and location of the person. Through acceleration fine tuning algorithm, the acceleration data is refined and combined with the velocity calculated from body kinematics to get a drift-free and accurate 3D velocity result. The location of the person is tracked based on this velocity estimation and the limb kinematic subsequently. The benchmark study with the commercial optical reference shows that the error in velocity tracking is within 0.1 m/s and localization accuracy is within 2% in both normal walking, jogging and jumping. Due to the conveniences of the small-size wearable IMU sensors, this proposed velocity tracking and localization method is very useful in everyday exercises both indoor and outdoor. ASTAR (Agency for Sci., Tech. and Research, S’pore) Accepted version 2016-01-07T04:19:11Z 2019-12-06T14:39:07Z 2016-01-07T04:19:11Z 2019-12-06T14:39:07Z 2014 Journal Article Yuan, Q., & Chen, I.-M. (2014). Localization and velocity tracking of human via 3 IMU sensors. Sensors and Actuators A: Physical, 212, 25-33. 0924-4247 https://hdl.handle.net/10356/81720 http://hdl.handle.net/10220/39608 10.1016/j.sna.2014.03.004 en Sensors and Actuators A: Physical © 2014 Elsevier B.V. This is the author created version of a work that has been peer reviewed and accepted for publication by Sensors and Actuators A: Physical, Elsevier B.V. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1016/j.sna.2014.03.004]. 9 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Human velocity tracking; IMUs; Inertial sensors
spellingShingle Human velocity tracking; IMUs; Inertial sensors
Yuan, Qilong
Chen, I-Ming
Localization and velocity tracking of human via 3 IMU sensors
description In sports training and exercises like walking and jogging, the velocity and position of the exercise people is very crucial for motion evaluation. A simple wearable system and corresponding method for velocity monitoring using minimal sensors can be very useful for daily use. In this work, a velocity tracking and localization method using only three IMU sensors is introduced. The three sensors are located at the right shank, right thigh and the pelvis to measure the kinematics of the lower limbs. In the method, a reference root point on the pelvis is chosen to represent the velocity and location of the person. Through acceleration fine tuning algorithm, the acceleration data is refined and combined with the velocity calculated from body kinematics to get a drift-free and accurate 3D velocity result. The location of the person is tracked based on this velocity estimation and the limb kinematic subsequently. The benchmark study with the commercial optical reference shows that the error in velocity tracking is within 0.1 m/s and localization accuracy is within 2% in both normal walking, jogging and jumping. Due to the conveniences of the small-size wearable IMU sensors, this proposed velocity tracking and localization method is very useful in everyday exercises both indoor and outdoor.
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Yuan, Qilong
Chen, I-Ming
format Article
author Yuan, Qilong
Chen, I-Ming
author_sort Yuan, Qilong
title Localization and velocity tracking of human via 3 IMU sensors
title_short Localization and velocity tracking of human via 3 IMU sensors
title_full Localization and velocity tracking of human via 3 IMU sensors
title_fullStr Localization and velocity tracking of human via 3 IMU sensors
title_full_unstemmed Localization and velocity tracking of human via 3 IMU sensors
title_sort localization and velocity tracking of human via 3 imu sensors
publishDate 2016
url https://hdl.handle.net/10356/81720
http://hdl.handle.net/10220/39608
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