Estimation and Tracking of Knee Angle Trajectory using Inertial Sensors and a Smartphone Application

Estimation and Tracking of Knee Angle Trajectory using Inertial Sensors and a Smartphone Application

We demonstrate a practical solution to track the 2-D knee angle trajectory of a user in real-time using inertial sensors embedded in a wearable knee-band wirelessly coupled with a mobile device, by mathematically modeling the knee as a hinge joint. We show how the bias of gyroscopes can be automatic...

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Bibliographic Details
Main Authors: JASKARAN GROVER, VENKAT NATARAJAN
Format: Article
Language:English
Published: European Alliance for Innovation (EAI) 2016-12-01
Series:EAI Endorsed Transactions on Pervasive Health and Technology
Subjects:
android
flexion angle
motion tracking
state estimation
Online Access:http://eudl.eu/doi/10.4108/eai.28-9-2015.2261468
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spelling doaj-e5b7da89921442dd98cba2b46c03ff082020-11-25T01:57:13ZengEuropean Alliance for Innovation (EAI)EAI Endorsed Transactions on Pervasive Health and Technology2411-71452016-12-01261710.4108/eai.28-9-2015.2261468Estimation and Tracking of Knee Angle Trajectory using Inertial Sensors and a Smartphone ApplicationJASKARAN GROVER0VENKAT NATARAJAN1Systems Engineer, Intel Labs; groverjaskaran@gmail.comIntel LabsWe demonstrate a practical solution to track the 2-D knee angle trajectory of a user in real-time using inertial sensors embedded in a wearable knee-band wirelessly coupled with a mobile device, by mathematically modeling the knee as a hinge joint. We show how the bias of gyroscopes can be automatically computed to eliminate manual calibration and combined with a computationally simple Kalman filter model for tracking the knee-angle on a power constrained mobile device. Finally, we visualize the 2-D knee motion trajectory in real-time using an avatar on an Android phone.http://eudl.eu/doi/10.4108/eai.28-9-2015.2261468androidflexion anglemotion trackingstate estimation
collection DOAJ
language English
format Article
sources DOAJ
author JASKARAN GROVER
VENKAT NATARAJAN
spellingShingle JASKARAN GROVER
VENKAT NATARAJAN
Estimation and Tracking of Knee Angle Trajectory using Inertial Sensors and a Smartphone Application
EAI Endorsed Transactions on Pervasive Health and Technology
android
flexion angle
motion tracking
state estimation
author_facet JASKARAN GROVER
VENKAT NATARAJAN
author_sort JASKARAN GROVER
title Estimation and Tracking of Knee Angle Trajectory using Inertial Sensors and a Smartphone Application
title_short Estimation and Tracking of Knee Angle Trajectory using Inertial Sensors and a Smartphone Application
title_full Estimation and Tracking of Knee Angle Trajectory using Inertial Sensors and a Smartphone Application
title_fullStr Estimation and Tracking of Knee Angle Trajectory using Inertial Sensors and a Smartphone Application
title_full_unstemmed Estimation and Tracking of Knee Angle Trajectory using Inertial Sensors and a Smartphone Application
title_sort estimation and tracking of knee angle trajectory using inertial sensors and a smartphone application
publisher European Alliance for Innovation (EAI)
series EAI Endorsed Transactions on Pervasive Health and Technology
issn 2411-7145
publishDate 2016-12-01
description We demonstrate a practical solution to track the 2-D knee angle trajectory of a user in real-time using inertial sensors embedded in a wearable knee-band wirelessly coupled with a mobile device, by mathematically modeling the knee as a hinge joint. We show how the bias of gyroscopes can be automatically computed to eliminate manual calibration and combined with a computationally simple Kalman filter model for tracking the knee-angle on a power constrained mobile device. Finally, we visualize the 2-D knee motion trajectory in real-time using an avatar on an Android phone.
topic android
flexion angle
motion tracking
state estimation
url http://eudl.eu/doi/10.4108/eai.28-9-2015.2261468
work_keys_str_mv AT jaskarangrover estimationandtrackingofkneeangletrajectoryusinginertialsensorsandasmartphoneapplication
AT venkatnatarajan estimationandtrackingofkneeangletrajectoryusinginertialsensorsandasmartphoneapplication
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