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Paper Abstract and Keywords
Presentation 2023-03-06 12:40
A Study on Auscultation Learning Systems Based on Marker-less AR Display of Organs on the Human Body Using Pose Estimation
Yu Ichimura, Kazufumi Matsumoto, Junichi Sugita (Tokyo Healthcare Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) Auscultation is one of the basic techniques in physical assessment to determine a patient's condition by listening to sounds inside the patient's body using a stethoscope. During auscultation, it is necessary to be aware of the position of the organ being listened to, but this is difficult for beginners. This study aims to develop an educational system to bridge the gap between auscultation techniques and knowledge of anatomy by AR displaying images of organs such as lungs and hearts on the human body. We developed a system that can display organ images in real time without using AR markers by calculating the display position of the organ images based on pose estimation.
Keyword (in Japanese) (See Japanese page) 
(in English) Pose Estimation / AR / Auscultation / / / / /  
Reference Info. ITE Tech. Rep., vol. 47, no. 9, AIT2023-118, pp. 293-295, March 2023.
Paper # AIT2023-118 
Date of Issue 2023-02-27 (AIT) 
ISSN Print edition: ISSN 1342-6893    Online edition: ISSN 2424-1970
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Conference Information
Committee AIT IIEEJ AS CG-ARTS  
Conference Date 2023-03-06 - 2023-03-06 
Place (in Japanese) (See Japanese page) 
Place (in English) Tokyo Polytechnic Univ. (Nakano) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Expressive Japan 2023 
Paper Information
Registration To AIT 
Conference Code 2023-03-AIT-IIEEJ-AS-ARTS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Auscultation Learning Systems Based on Marker-less AR Display of Organs on the Human Body Using Pose Estimation 
Sub Title (in English)  
Keyword(1) Pose Estimation  
Keyword(2) AR  
Keyword(3) Auscultation  
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1st Author's Name Yu Ichimura  
1st Author's Affiliation Tokyo Healthcare University (Tokyo Healthcare Univ.)
2nd Author's Name Kazufumi Matsumoto  
2nd Author's Affiliation Tokyo Healthcare University (Tokyo Healthcare Univ.)
3rd Author's Name Junichi Sugita  
3rd Author's Affiliation Tokyo Healthcare University (Tokyo Healthcare Univ.)
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Speaker Author-1 
Date Time 2023-03-06 12:40:00 
Presentation Time 80 minutes 
Registration for AIT 
Paper # AIT2023-118 
Volume (vol) vol.47 
Number (no) no.9 
Page pp.293-295 
#Pages
Date of Issue 2023-02-27 (AIT) 


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