Presentation | 2022-05-27 Developing a Secure Streaming System of Clinic Site for Medical Education Sinan Chen, Masahide Nakamura, Kenji Sekiguchi, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Clinical practice in the outpatient consultation room is restricted due to the COVID-19 control measures, resulting in the loss of educational opportunities such as jury visits and observation have been becoming an urgent issue. There is a demand for real-time access to medical examinations while avoiding the seclusion of the exam room. However, online distribution has privacy issues, and security requires that the information not be broadcast over a global network. The purpose of this paper is to propose a secure streaming system for clinical practice for medical education (called SSS4ME). As an approach, we develop a web application that masks the patient's face in the examination room in real-time and distributes it to the campus classroom. Our key idea is to integrate WebRTC technology with image processing technology. Specifically, we first install a general-purpose PC and a USB fixed-point camera at a clinical site, and a web browser projects real-time images. Next, two image processes, ``eye-line mosaic '' and ``face mosaic'' are performed on the detected human face area based on the output of the bone sensing PoseNet Model driven by tensorflow.js. The processed images are automatically rendered on a browser canvas and then applied to PeerJS technology as a real-time video stream for unidirectional distribution to educational sites. In addition, we design a two-way texting chat function utilizing WebSocket technology. Also, we set up a Node.js server to manage the status of each delivery. This research makes secure streaming possible using only a general-purpose PC, a webcam, and a browser. In this way, supporting medical education is promising. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Medical education / Streaming system / Bone sensing / WebRTC / Web application |
Paper # | SC2022-5 |
Date of Issue | 2022-05-20 (SC) |
Conference Information | |
Committee | SC |
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Conference Date | 2022/5/27(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | Online |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | AI Service and Digital Transformation, and general topics |
Chair | Shinji Kikuchi(NIMS) |
Vice Chair | Yoji Yamato(NTT) / Kosaku Kimura(Fujitsu) |
Secretary | Yoji Yamato(Kobe Univ.) / Kosaku Kimura(Tokyo Univ. of Tech.) |
Assistant | Shin Tezuka(Hitachi) / Takao Nakaguchi(KCGI) |
Paper Information | |
Registration To | Technical Committee on Service Computing |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Developing a Secure Streaming System of Clinic Site for Medical Education |
Sub Title (in English) | |
Keyword(1) | Medical education |
Keyword(2) | Streaming system |
Keyword(3) | Bone sensing |
Keyword(4) | WebRTC |
Keyword(5) | Web application |
1st Author's Name | Sinan Chen |
1st Author's Affiliation | Kobe University(Kobe Univ.) |
2nd Author's Name | Masahide Nakamura |
2nd Author's Affiliation | Kobe University(Kobe Univ.) |
3rd Author's Name | Kenji Sekiguchi |
3rd Author's Affiliation | Kobe University(Kobe Univ.) |
Date | 2022-05-27 |
Paper # | SC2022-5 |
Volume (vol) | vol.122 |
Number (no) | SC-50 |
Page | pp.pp.25-30(SC), |
#Pages | 6 |
Date of Issue | 2022-05-20 (SC) |