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Depth 및 RGB Camera를 이용한 인체 관절부위 측정에 대한 연구
안영샘(Y. S. Ahn),권순원(S. W. Kwon),주성수(S. S. Joo),김원진(W. J. Kim),박은식(E. S. Park),이상민,권장우(J. W. Kwon) 한국재활복지공학회 2017 한국재활복지공학회 학술대회논문집 Vol.2017 No.11
In this paper, We developed joint-motion detect program using a Depth Camera of Microsoft KinectV2. Recently, patients can easily access various information about medical care and thus the knowledge level of medical care is increasing. And patients expect to be informed through objective data rather than by a doctor"s diagnosis. Although each facility has a variety of equipment to show these objective data to patients, it is complex and tricky for patients to easily understand. And because these devices are mostly expensive, small hospitals such as private hospitals which is true that it is burdensome. This program makes it easier to see the patient"s body condition without the expensive equipment. The experimental result shows that the error is within 3% of the actual measurement method. It brings accurate data according to individual physical characteristics. It supports joint related medical equipment and has good usability and reliable recognition rate.
Depth Camera를 이용한 관절 가동 범위 측정에 대한 연구
안영샘(Y. S. Ahn),설현우(H. W. Seol),주성수(S. S. Joo),김원진(W. J. Kim),박은식(E. S. Park),권장우(J. W. Kwon) 한국재활복지공학회 2017 한국재활복지공학회 학술대회논문집 Vol.2017 No.4
In this paper, we investigated the range of joint motion using Kinect, a Depth Camera. Today, as patients interest in medical information grows, there is a need to show patients quantified data. In the current hospital, a physician uses a goniometer to measure the range of motion of a patient. However, due to limited workforce and the status of the patient within a limited period of time, there is a limit to efficiently inspect and treat patients. In order to provide efficient treatment, this paper proposes a measurement method of the range of motion of the limb using the Depth Camera. We used the program to measure more quickly than the conventional measurement method. The experimental result shows that the error is within 3% of the actual measurement method. In addition, using the Depth Camera, it is possible to store and manage the range of motion of the joints as quantified data.