• 대한의용생체공학회:의공학회지
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• 제32권2호
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• pp.118-126
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• 2011

This study proposes a human body orientation tracking system by inertial and earth magnetic sensors. These sensors were fused by indirect Kalman filter. The proposed tracking system was configured and the filter was implemented. The tracking performance was evaluated with static and dynamic tests. In static test, the sensor was fixed on the floor while its static characteristics was analyzed. In dynamic test, the sensor was held and moved manually for 30 seconds. The dynamic test included x, y, z axis rotations, and elbow flection/extension motions that mimic drinking. For these dynamic motions, the tracking angle error was under $4.1^{\circ}$ on average. The proposed tracking method is expected to be useful for various human body motion analysis.

• ETRI Journal
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• 제43권5호
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• pp.881-890
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• 2021

Photoplethysmography (PPG) is a noninvasive technique that can be used to conveniently measure heart rate (HR) and thus obtain relevant health-related information. However, developing an automated PPG system is difficult, because its waveforms are susceptible to motion artifacts and between-patient variation, making its interpretation difficult. We use deep neural network (DNN) filters to mimic the cognitive ability of a human expert who can distinguish the features of PPG altered by noise from various sources. Systolic (S), onset (O), and first derivative peaks (W) are recognized by three different DNN filters. In addition, the boundaries of uninformative regions caused by artifacts are identified by two different filters. The algorithm reliably derives the HR and presents recognition scores for the S, O, and W peaks and artifacts with only a 0.7-s delay. In the evaluation using data from 11 patients obtained from PhysioNet, the algorithm yields 8643 (86.12%) reliable HR measurements from a total of 10 036 heartbeats, including some with uninformative data resulting from arrhythmias and artifacts.

• Journal of Oral Medicine and Pain
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• 제44권2호
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• pp.65-68
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• 2019

Temporomandibular disorders (TMD), involving the masticator system of temporomandibular joint (TMJ) and masticator muscle, can be characterized with the cardinal signs and symptoms of jaw pain, noises and limitation of mandibular range of motion. However, TMD requires differential diagnosis due to its heterogeneous characteristics with various causes despite the similar clinical profiles. Oral cancer involving TMJ and the masticator system, although infrequent, can be one of these causes and should be considered one of the most life-threatening disease mimicking TMDs. This report introduces a case of masticator space tumor originally diagnosed as TMD in a 73-year-old Korean female with previous history of brain tumor. The clinical signs and symptoms closely mimic that of TMD which may have disrupted differential diagnosis. We discuss here key points for suspecting TMDs of secondary origin, namely, that of cancer and the implications it has on dental clinicians.

• 한국정보통신학회논문지
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• 제18권3호
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• pp.510-518
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• 2014

본 연구에서는 유체 속에서의 로봇의 방향전환 메커니즘의 성능을 개선하고 최적화하기 위하여 물 속 자연환경에 최적화되어 있는 물고기의 CST(CST:C-shape sharp turn) 패턴을 모방하여 물고기 로봇의 꼬리 관절 궤적을 신경회로망(neural network)을 사용하여 제안하였다. 물고기의 CST 패턴을 모방하기 위해 CST 패턴을 순차적으로 기록한 정보를 수치적으로 변환하여 좌표 데이터를 생성하고 함수화하였다. 함수화된 모션 함수를 물고기 로봇의 상대 관절각으로 변환하였으나, 구해진 상대 관절 궤적은 잉어의 순차적 기록에 의해 구해진 각도이므로 분해능이 떨어져 실제 물고기 로봇의 제어에 적용하기 어렵다. 그러므로 상대 관절 궤적을 일반화 기능이 뛰어난 신경회로망을 사용하여 보간하고 물고기 로봇에 적용하였다. 모의실험을 통하여 신경회로망을 이용한 상대 관절 궤적 함수가 고차의 다항식 궤적 함수에 비하여 물고기 로봇의 CST 모션에 더 좋은 성능을 나타냄을 확인하였다.

• 한국추진공학회:학술대회논문집
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• 한국추진공학회 2007년도 제29회 추계학술대회논문집
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• pp.311-314
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• 2007

곤충의 날개짓을 모방한 공력특성 연구가 초소형 비행체의 설계 파라미터를 구하기 위하여 수행되었다. 한 쌍의 날개 모델은 초파리(rosophila) 날개짓을 모방하기 위하여 200배 확대하였으며, 두 쌍의 공간 4절 링크를 적용하였다. Weis-Fogh 메커니즘을 검증하기 위해 한 쌍의 날개모델은 후행회전(Delayed Rotation)의 움직임을 가지도록 설계되었다. 또한 양력 및 항력은 날개 끝 속도 기준 레이놀즈수 약 1200, 최대 받음각 $40^{\circ}$에서 측정되었다. 모델의 관성력은 99.98%의 진공 챔버로 측정되고 공기속에서 측정된 데이터에서 제거되었다. 본 연구에서 Weis-Fogh 메커니즘의 고양력 효과는 날개의 업스트로크 과정에서 나타났다.

• 복식문화연구
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• 제25권3호
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• pp.301-314
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• 2017

This study focused on the movement adaptability of $19^{th}$ century classical opera stage costumes. Researchers focused on a basic $19^{th}$ century women's jacket. The study analyzed movement adaptability using ROM (range-of-motion) tests of the upper limb flexion and abduction postures. It developed two research garments to mimic basic $19^{th}$ century style jackets with or without gussets at the axilla. The ROM experiment identified the gusset size as 11cm in length. Experimental postures included upper limb flexion and abduction. The study measured subjective comfort at 8 postures. These postures included the flexion and abduction of the arms and torso. Subjects also evaluated the subjective comfort of the rotation posture of the torso. Researchers evaluated the similarities between research garments' silhouettes and the $19^{th}$ century women's jacket. The study used a 3D virtual fitting system to evaluate fit, and specialists further analyzed fit with photographs and 3D virtual graphics. The results are as follows. The silhouettes of both research garments were similar to the silhouettes of the $19^{th}$ century western women's jacket. The jacket with axilla gusset had a better fit than the basic style jacket. The basic style jacket without the axilla gusset showed limited movement adaptability at the shoulder joint and it caused discomfort at the axilla and elbow. The 3D virtual fit test was not a suitable method for analyzing silhouette similarity.

• 한국정보통신학회논문지
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• 제9권1호
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• pp.117-122
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• 2005

본 논문은 얼굴 특징점 추출을 위한 알고리즘을 제안한다. 얼굴 특징점은 얼굴 애니메이션과 아바타 모방을 위한 표정 표현이나, 얼굴 표정 인식 등에서 중요한 자료이다. 얼굴 특징점 추출을 위한 기존 방법은 고가의 모션 캡쳐 장비나 표식을 사용하는 것으로 대상 인물에게 심리적 부담감이나 부자연스러움을 준다. 이에 반해 제안된 알고리즘은 카메라로 취득된 영상에서 영상 처리만으로 얼굴 특징점을 추출함으로써 기존 방법의 문제점을 해결한다. 또한 효율적인 특징점 추출을 위해 특징점 추출의 근원이 되는 기존 얼굴 구성요소 검출 알고리즘의 문제점을 분석하고 개선한다.

• 한국전기전자재료학회논문지
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• 제33권5호
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• pp.380-385
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• 2020

Over the past decade, small robots have been of particular interest in the engineering field. Among the various types of small robots, biomimetic robots, which mimic animals and insects, have been developed for special activities in areas where humans cannot physically access. The optimal motion of a walking robot can be determined by the characteristics of the traversed surface (e.g., roughness, curvature, slope, materials, etc.). This study proposes three types of piezoelectric structures using different driving mechanisms, depending on the application range of the small walking robots. Dynamic modeling using computer-aided engineering optimized the shape of the robot to maximize its moving characteristics, and the results were also verified through its fabrication and experimentation. Three types of robots, named by their actuator shapes as I, π, & T-shape, were proposed regarding application for small scale ambulatory robots to different terrain conditions. Among these, the T-shaped robots were shown to have a wide range of speeds (from 2 mm/s up to 255 mm/s) and good carrying capacity (up to 10 g at 50 mm/s) through driving experiments. Based on this study, we proposed possible application areas for the three types of walking robot actuators.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2016년도 추계학술발표대회
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• pp.510-513
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• 2016

Detecting of the object in image processing is substantial but it depends on the object itself and the environment. An object can be detected either by its shape or color. Color is an essential for pattern recognition and computer vision. It is an attractive feature because of its simplicity and its robustness to scale changes and to detect the positions of the object. Generally, color of an object depends on its characteristics of the perceiving eye and brain. Physically, objects can be said to have color because of the light leaving their surfaces. Here, we conducted experiment in the aquarium fish tank. Different color of fish robots are mimic the natural swim of fish. Unfortunately, in the underwater medium, the colors are modified by attenuation and difficult to identify the color for moving objects. We consider the fish motion as a moving object and coordinates are found at every instinct of the aquarium to detect the position of the fish robot using OpenCV color detection. In this paper, we proposed to identify the position of the fish robot by their color and use the position data to control the fish robot gathering in one point in the fish tank through serial communication using RF module. It was verified by the performance test of detecting the position of the fish robot.

• Clinics in Shoulder and Elbow
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• 제8권2호
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• pp.81-87
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• 2005

Epicondylitis, as a tendinopathy characterized by fibroblast and microvascular hyperplasia, is a common musculoskeletal problem especially related with repetitive hand and wrist motion. It has a prevalence of between 0.2% and 5% in general population depending on the amount of exposure to manual labor jobs. Although it is known that the pathological lesions lie in the flexor or extensor common tendons, there could be collateral ligament lesions and/or reactive synovitis accompanied, which may make a case unresponsive to the treatment aimed only at the tendinopathy. Epicondylitis is easy to diagnose with typical pain, tenderness, and positive provocation tests. However, many conditions can mimic epicondylitis that further imaging or electrodiagnostic studies should be undertaken to exclude other possible problems. Ultrasonography provides information about the existence and extent of tendinopathy with relatively high specificity. Magnetic resonance imaging is often required to rule out other problems and confirm the diagnosis of the cases intractable to long term treatment. Many options of treatment are available for epicondylitis while numerous conflicting evidences have been noted, debating one treatment method is better than the others. Since it was reported that over 80% of epicondylitis improved within a year no matter what was done as treatment, it is a challenge to make accurate diagnosis and combine effective therapeutic regimens for the 20% of intractable cases.