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레벨 셋 기반의 깊이 카메라를 이용한 호흡수 측정

Other Titles
 Level Set based Respiration Rate Estimation using Depth Camera 
Authors
 오경택  ;  신증수  ;  김정민  ;  유선국 
Citation
 Journal of Korea Multimedia Society (멀티미디어학회논문지), Vol.20(9) : 1491-1501, 2017 
Journal Title
 Journal of Korea Multimedia Society (멀티미디어학회논문지) 
ISSN
 1229-7771 
Issue Date
2017
Keywords
Level Set Segmentation ; Shape Prior Knowledge ; Depth Camera ; Non-contact ; Respiration ; Respiration Rate
Abstract
In this paper, we propose a method to measure respiration rate by dividing the respiration related region in depth image using level set method. In the conventional method, the respiration related region was separated using the pre-defined region designated by the user. We separate the respiration related region using level set method combining shape prior knowledge. Median filter and clipping are performed as a preprocessing method for noise reduction in the depth image. As a feasibility test, respiration activity was recorded using depth camera in various environments with arm movements or body movements during breathing. Respiration activity was also measured simultaneously using a chest belt to verify the accuracy of calculated respiration rate. Experimental results show that our proposed method shows good performance for respiration rate estimation in various situation compared with the conventional method.
Files in This Item:
T201703748.pdf Download
DOI
10.9717/kmms.2017.20.9.1491
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Anesthesiology and Pain Medicine (마취통증의학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Medical Engineering (의학공학교실) > 1. Journal Papers
Yonsei Authors
Kim, Jeongmin(김정민) ORCID logo https://orcid.org/0000-0002-0468-8012
Shin, Cheung Soo(신증수) ORCID logo https://orcid.org/0000-0001-7829-8458
Oh, Kyeong Taek(오경택) ORCID logo https://orcid.org/0000-0002-6857-0945
Yoo, Sun Kook(유선국) ORCID logo https://orcid.org/0000-0002-6032-4686
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/160986
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