Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 윤종헌 | - |
dc.date.accessioned | 2024-06-21T05:00:40Z | - |
dc.date.available | 2024-06-21T05:00:40Z | - |
dc.date.issued | 2024-05-11 | - |
dc.identifier.citation | COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, v. 24, page. 393-403 | en_US |
dc.identifier.issn | 2001-0370 | en_US |
dc.identifier.uri | https://www.sciencedirect.com/science/article/pii/S2001037024001521?via%3Dihub | en_US |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/190909 | - |
dc.description.abstract | Background and objective: Medical image visualization is a requirement in many types of surgery such as orthopaedic, spinal, thoracic procedures or tumour resection to eliminate risk such as “wrong level surgery”. However, direct contact with physical devices such as mice or touch screens to control images is a challenge because of the potential risk of infection. To prevent the spread of infection in sterile environments, a contagious infection-free medical interaction system has been developed for manipulating medical images. Methods: We proposed an integrated system with three key modules: hand landmark detection, hand pointing, and hand gesture recognition. A proposed depth enhancement algorithm is combined with a deep learning hand landmark detector to generate hand landmarks. Based on the designed system, a proposed hand-pointing system combined with projection and ray-pointing techniques allows for reducing fatigue during manipulation. A proposed landmark geometry constraint algorithm and deep learning method were applied to detect six gestures including click, open, close, zoom, drag, and rootation. Additionally, a control menu was developed to effectively activate common functions. Results: The proposed hand-pointing system allowed for a large control range of up to 1200 mm in both vertical and horizontal direction. The proposed hand gesture recognition method showed high accuracy of over 97% and real-time response. Conclusion: This paper described the contagious infection-free medical interaction system that enables precise and effective manipulation of medical images within the large control range, while minimizing hand fatigue. | en_US |
dc.description.sponsorship | This work was supported by a National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (No. 2022R1A4A3031263). This research was financially supported by the Ministry of Trade, Industry, and Energy (MOTIE), Korea, under the “170k closed section roll forming and free curvature bending technology development for electric vehicle body” (reference number 20022814) supervised by the Korea Institute for Advancement of Technology (KIAT). This work was supported by the Industrial Strategic Technology Development Program-A program for win-win type innovation leap between middle market enterprise and small & medium sized enterprise (P0024516, Development and commercialization of a customized dental solution with intelligent automated diagnosis technology based on virtual patient data) funded By the Ministry of Trade, Industry & Energy (MOTIE, Korea) and the Korea Institute for Advancement of Technology (KIAT). This research was funded by the Korea Institute of Industrial Technology’s research project (KITECH, EH-24-0002). | en_US |
dc.language | en_US | en_US |
dc.publisher | ELSEVIER | en_US |
dc.relation.ispartofseries | v. 24;393-403 | - |
dc.subject | Human-machine interaction | en_US |
dc.subject | Sterile environment | en_US |
dc.subject | Contactless | en_US |
dc.subject | Pointing technique | en_US |
dc.subject | Gesture recognition | en_US |
dc.title | Contagious infection-free medical interaction system with machine vision controlled by remote hand gesture during an operation | en_US |
dc.type | Article | en_US |
dc.identifier.doi | https://doi.org/10.1016/j.csbj.2024.05.006 | en_US |
dc.relation.page | 1-20 | - |
dc.relation.journal | COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL | - |
dc.contributor.googleauthor | Truong, Van Doi | - |
dc.contributor.googleauthor | Lim, Hyun-Kyo | - |
dc.contributor.googleauthor | Kim, Seongje | - |
dc.contributor.googleauthor | Dat, Than Trong Khanh | - |
dc.contributor.googleauthor | Yoon, Jonghun | - |
dc.relation.code | 2024009297 | - |
dc.sector.campus | E | - |
dc.sector.daehak | COLLEGE OF ENGINEERING SCIENCES[E] | - |
dc.sector.department | DEPARTMENT OF MECHANICAL ENGINEERING | - |
dc.identifier.pid | jyoon | - |
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