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short-paper

Intuitive Evaluation of Kinect2 based Balance Measurement Software

Authors:

Vicente Penades,

Javier Chirivella,

Pablo GagliardoAuthors Info & Claims

REHAB '15: Proceedings of the 3rd 2015 Workshop on ICTs for improving Patients Rehabilitation Research Techniques

Pages 62 - 65

https://doi.org/10.1145/2838944.2838960

Published: 01 October 2015 Publication History

Abstract

A balance measurement software based on Kinect2 sensor is evaluated by comparing to golden standard balance measure platform intuitively. The software analysis the tracked body data from the user by Kinect2 sensor and get user's center of mass(CoM) as well as its motion route on a plane. The software is evaluated by several comparison tests, the evaluation results preliminarily prove the reliability of the software.

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Cited By

Liu CLee PChen YYen CYu C(2020)Study of Postural Stability Features by Using Kinect Depth Sensors to Assess Body Joint Coordination PatternsSensors10.3390/s2005129120:5(1291)Online publication date: 27-Feb-2020
https://doi.org/10.3390/s20051291
Lou CPang CJing CWang SHe XLiu XHuang LLin FLiu XWang H(2018)Dynamic Balance Measurement and Quantitative Assessment Using Wearable Plantar-Pressure Insoles in a Pose-Sensed Virtual EnvironmentSensors10.3390/s1812419318:12(4193)Online publication date: 30-Nov-2018
https://doi.org/10.3390/s18124193
Hoda MHoda YHafidh BEl Saddik A(2018)Predicting muscle forces measurements from kinematics data using kinect in stroke rehabilitationMultimedia Tools and Applications10.1007/s11042-016-4274-577:2(1885-1903)Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.1007/s11042-016-4274-5
Show More Cited By

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REHAB '15: Proceedings of the 3rd 2015 Workshop on ICTs for improving Patients Rehabilitation Research Techniques

October 2015

176 pages

ISBN:9781450338981

DOI:10.1145/2838944

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

In-Cooperation

KAU: King Abdulaziz University, Saudi Arabia
COFAC: COFAC / Universidade Lusofona de Humanidades e Tecnologías
UCLM: University of Castilla-La Mancha

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 October 2015

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REHAB '15

REHAB '15: ICTs for improving Patients Rehabilitation Research Techniques

October 1 - 2, 2015

Lisbon, Portugal

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Cited By

Liu CLee PChen YYen CYu C(2020)Study of Postural Stability Features by Using Kinect Depth Sensors to Assess Body Joint Coordination PatternsSensors10.3390/s2005129120:5(1291)Online publication date: 27-Feb-2020
https://doi.org/10.3390/s20051291
Lou CPang CJing CWang SHe XLiu XHuang LLin FLiu XWang H(2018)Dynamic Balance Measurement and Quantitative Assessment Using Wearable Plantar-Pressure Insoles in a Pose-Sensed Virtual EnvironmentSensors10.3390/s1812419318:12(4193)Online publication date: 30-Nov-2018
https://doi.org/10.3390/s18124193
Hoda MHoda YHafidh BEl Saddik A(2018)Predicting muscle forces measurements from kinematics data using kinect in stroke rehabilitationMultimedia Tools and Applications10.1007/s11042-016-4274-577:2(1885-1903)Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.1007/s11042-016-4274-5
Lv ZChirivella JGagliardo P(2018)Bigdata Oriented Multimedia Mobile Health ApplicationsJournal of Medical Systems10.1007/s10916-016-0475-840:5(1-10)Online publication date: 30-Dec-2018
https://dl.acm.org/doi/10.1007/s10916-016-0475-8
Lv ZPenades VBlasco SChirivella JGagliardo P(2017)Intuitively Evaluating Balance Measurement Software Using Kinect2ICTs for Improving Patients Rehabilitation Research Techniques10.1007/978-3-319-69694-2_8(83-93)Online publication date: 14-Nov-2017
https://doi.org/10.1007/978-3-319-69694-2_8
Lv ZPenades VBlasco SChirivella JGagliardo P(2017)Using Wii Balance Board to Evaluate Software Based on Kinect2ICTs for Improving Patients Rehabilitation Research Techniques10.1007/978-3-319-69694-2_6(59-68)Online publication date: 14-Nov-2017
https://doi.org/10.1007/978-3-319-69694-2_6
Lv Z(2017)Hyperbaric Oxygen Chamber Users May Obtain Immersive Enjoyment by Virtual Reality GlassesICTs for Improving Patients Rehabilitation Research Techniques10.1007/978-3-319-69694-2_10(106-115)Online publication date: 14-Nov-2017
https://doi.org/10.1007/978-3-319-69694-2_10

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