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...
Main Authors: | , , , |
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Format: | Conference or Workshop Item |
Language: | English |
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2017
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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. |
first_indexed | 2024-07-04T06:15:08Z |
format | Conference or Workshop Item |
id | uum-20888 |
institution | Universiti Utara Malaysia |
language | English |
last_indexed | 2024-07-04T06:15:08Z |
publishDate | 2017 |
record_format | dspace |
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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