Application of motion correction using 3D autoregressive model in kinect-based telemedicine

In telemedicine, where the convergence of different types of medical treatment occurs, it is very important to establish credibility regarding the mutual communication between patients and medical workers by acquiring and sharing more accurate data. For rehabilitation treatment in particular, where...

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Main Authors: Kim, Baek Seob, Kim, Yun Bae, Kim, So-Jeong, Shin, Dong-Hee
Format: Conference or Workshop Item
Language:English
Published: 2017
Subjects:
Online Access:https://repo.uum.edu.my/id/eprint/20888/1/shsconf_icome2017%201%207i.pdf
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author Kim, Baek Seob
Kim, Yun Bae
Kim, So-Jeong
Shin, Dong-Hee
author_facet Kim, Baek Seob
Kim, Yun Bae
Kim, So-Jeong
Shin, Dong-Hee
author_sort Kim, Baek Seob
collection UUM
description In telemedicine, where the convergence of different types of medical treatment occurs, it is very important to establish credibility regarding the mutual communication between patients and medical workers by acquiring and sharing more accurate data. For rehabilitation treatment in particular, where motion data are required, auxiliary equipment such as a Kinect sensor is being more widely used.This study proposes a methodology for improving the motion recognition rate by compensating the noise from a Kinect sensor using a 3D auto regressive model. Moreover, this study investigates the methods applied for vitalizing the area of telemedicine under this particular trend.
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spelling uum-208882017-02-08T03:28:10Z https://repo.uum.edu.my/id/eprint/20888/ Application of motion correction using 3D autoregressive model in kinect-based telemedicine Kim, Baek Seob Kim, Yun Bae Kim, So-Jeong Shin, Dong-Hee QA75 Electronic computers. Computer science In telemedicine, where the convergence of different types of medical treatment occurs, it is very important to establish credibility regarding the mutual communication between patients and medical workers by acquiring and sharing more accurate data. For rehabilitation treatment in particular, where motion data are required, auxiliary equipment such as a Kinect sensor is being more widely used.This study proposes a methodology for improving the motion recognition rate by compensating the noise from a Kinect sensor using a 3D auto regressive model. Moreover, this study investigates the methods applied for vitalizing the area of telemedicine under this particular trend. 2017 Conference or Workshop Item PeerReviewed application/pdf en cc4_by https://repo.uum.edu.my/id/eprint/20888/1/shsconf_icome2017%201%207i.pdf Kim, Baek Seob and Kim, Yun Bae and Kim, So-Jeong and Shin, Dong-Hee (2017) Application of motion correction using 3D autoregressive model in kinect-based telemedicine. In: International Conference on Communication and Media: An International Communication Association Regional Conference (i-COME’16), 18th - 20th September 2016, Istana Hotel, Kuala Lumpur. http://doi.org/10.1051/shsconf/20173300005 doi:10.1051/shsconf/20173300005 doi:10.1051/shsconf/20173300005
spellingShingle QA75 Electronic computers. Computer science
Kim, Baek Seob
Kim, Yun Bae
Kim, So-Jeong
Shin, Dong-Hee
Application of motion correction using 3D autoregressive model in kinect-based telemedicine
title Application of motion correction using 3D autoregressive model in kinect-based telemedicine
title_full Application of motion correction using 3D autoregressive model in kinect-based telemedicine
title_fullStr Application of motion correction using 3D autoregressive model in kinect-based telemedicine
title_full_unstemmed Application of motion correction using 3D autoregressive model in kinect-based telemedicine
title_short Application of motion correction using 3D autoregressive model in kinect-based telemedicine
title_sort application of motion correction using 3d autoregressive model in kinect based telemedicine
topic QA75 Electronic computers. Computer science
url https://repo.uum.edu.my/id/eprint/20888/1/shsconf_icome2017%201%207i.pdf
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