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A Comparative Analysis of Two Approaches for Estimation of Upper Limb Orientation Using Inertial and Kinect SensorsACHARYA, A.   , BHAT, S. , KANTHI, M. |
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Author keywords
inertial sensor, Kalman filter, upper limb, occupational medicine, sensor fusion
References keywords
upper(16), sensors(16), limb(13), kinect(13), inertial(12), sensor(9), assessment(8), stroke(7), motion(7), orientation(6)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2022-11-30
Volume 22, Issue 4, Year 2022, On page(s): 83 - 90
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2022.04010
Web of Science Accession Number: 000920289700010
SCOPUS ID: 85149751892
Abstract
In Neuropsychology and Occupational medicine, the clinical environment uses upper limb assessment activity, which involves performing a few daily living activities. The main objective of this work is to develop a non-wearable, automated version of upper limb assessment, which allows free movement of the hand and records the trajectory information using inertial and Kinect sensor modules. The upper limb orientation is measured using an object attached to an MPU6050 inertial sensor. The assessment involves the measurement of quantitative parameters such as time, orientation, and trajectory with which the given task is completed. A similar task is performed using the Kinect sensor. The correlation between these two sensors is recorded. The Wilcoxon signed-rank test is performed to quantify the comparison between the stopwatch with the inertial sensor and Kinect sensor-based timing measurements. |
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
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Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.
