• 대한인간공학회지
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• 제29권2호
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• pp.203-210
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• 2010

For the development of a better product which fits to the target user population, physical workloads such as reach and visibility are evaluated using digital human simulation in the early stage of product development; however, ergonomic workload assessment mainly relies on visual observation of reach envelopes and view cones generated in a 3D graphic environment. The present study developed a quantitative assessment method of physical workload in a digital environment and applied to the evaluation of a Korean utility helicopter (KUH) cockpit design. The proposed assessment method quantified physical workloads for the target user population by applying a 3-step process and identified design features requiring improvement based on the quantified workload evaluation. The scores of physical workloads were quantified in terms of posture, reach, visibility, and clearance, and 5-point scales were defined for the evaluation measures by referring to existing studies. The postures of digital humanoids for a given task were estimated to have the minimal score of postural workload by finding all feasible postures that satisfy task constraints such as a contact between the tip of the index finger and a target point. The proposed assessment method was applied to evaluate the KUH cockpit design in the preliminary design stage and identified design features requiring improvement. The proposed assessment method can be utilized to ergonomic evaluation of product designs using digital human simulation.

• International Journal of Internet, Broadcasting and Communication
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• 제12권4호
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• pp.83-92
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• 2020

A recent study to determine the fall is focused on analyzing fall motions using a recurrent neural network (RNN), and uses a deep learning approach to get good results for detecting human poses in 2D from a mono color image. In this paper, we investigated the improved detection method to estimate the position of the head and shoulder key points and the acceleration of position change using the skeletal key points information extracted using PoseNet from the image obtained from the 2D RGB low-cost camera, and to increase the accuracy of the fall judgment. In particular, we propose a fall detection method based on the characteristics of post-fall posture in the fall motion analysis method and on the velocity of human body skeleton key points change as well as the ratio change of body bounding box's width and height. The public data set was used to extract human skeletal features and to train deep learning, GRU, and as a result of an experiment to find a feature extraction method that can achieve high classification accuracy, the proposed method showed a 99.8% success rate in detecting falls more effectively than the conventional primitive skeletal data use method.

• 대한기계학회논문집A
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• 제33권3호
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• pp.251-260
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• 2009

Hybrid locomotive UGV with actively articulated legs along with wheeled ends has high traversability to travel over rough terrain. The behavior control method was usually adapted for the controlling of the suspension configuration which determines the traversability of the UGV. In this study, we are proposing a method of configuration planning of the legs without any detail geometric data about the terrain. The terrain was estimated by the traces of each wheel and the leg configurations for the desired posture of the vehicle were set up against the constraints of the terrain. Also, an optimal leg configuration was calculated based on the quasi-static stability and power consumption, and plans for the leg behavior were made. Validity of the proposed method was checked by simulations using some off-the-shelf programs, and showed that the orientation control without geometric features of terrains and simplification of the behavior planning for obstacle negotiation were possible.

• 대한치과마취과학회지
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• 제7권2호
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• pp.135-138
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• 2007

Hallervorden-Spatz disease (HSD) is a rare autosomal recessive disorder associated with excessive iron deposition in the basal ganglia. In general, HSD is characterized by onset in first two decade of life and by the presence of extra-pyramidal dysfunction including dystonia, rigidity, choreoathetosis. Other associated features include gait and posture disturbance, intellectual decline, seizure, tremor, dysarthria. These signs and symptoms are progressive. MRI is often demonstrated hypodensity in the basal ganglia which is probably suggestive of accumulation of iron. There is no specific treatment for HSD and 45% of patients die before reaching the age of 20 years. The managements directed at specific symptoms are often helpful. Especially, some surgical procedures like pallidotomy and gastrostomy are performed under general anesthesia. There is special need for careful management because of numerous anesthetic challenges like difficulty in cooperation, life-threatening airway obstruction and possibility of aspiration. We report a successful anesthetic management in a patient with HSD for dental procedures.

• 디지털융복합연구
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• 제10권7호
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• pp.207-212
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• 2012

본 연구는 정치인들의 용모가 미디어 수용자인 유권자의 정서와 투표에 미치는 영향을 살펴본 실험 연구이다. 그동안 자세, 제스추어, 메이컵 등과 같은 비언어적 단서들에 관한 연구는 다수 진행되어 왔으나, 정치 후보의 얼굴에 표현되어지는 안경착용이 유권자에 미치는 영향에 관한 연구는 찾아보기 어렵다. 따라서 본 연구에서는 지방선거 TV연설에 노출된 대학생 피험자들을 대상으로 정치 후보의 안경 착용이 미디어 수용자에게 미치는 영향을 실험을 통해 살펴보았다. 연구결과 TV연설에서 정치 후보자의 안경 착용은 유권자의 친근감과 신뢰감에는 영향을 미치지 못하였으나, 유권자의 호감도와 지지도에는 정적인 영향을 미치는 것으로 나타났다.

• 혜화의학회지
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• 제16권2호
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• pp.281-288
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• 2007

Tremor is a rhythmic, involuntary muscular contraction characterized by oscillations (to-and-fro movements) of a part of the body. Essential tremor is a 6-8 Hz tremor that is of variable amplitude. It is aggravated by posture and movement and relieved by rest and alcohol. Most affected part are the arms, head and vocal apparatus. The purpose of this study is to show a case of tremor patient with essential tremor improved by oriental medical treatment. The patient was 71-year-old woman who featured essential tremor and at the same time complained general body weakness, nausea, and anorexia. She was treated by oriental medicine with acupuncture, herb medication, and Korean psychotherapy; Eejeong-byunki, Jiun-goron. The features of essential tremor was reduced after taking oriental medical therapy. This result suggested that the oriental medical therapy can be effective for treating essential tremor.

• International Journal of Internet, Broadcasting and Communication
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• 제14권2호
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• pp.212-218
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• 2022

In this paper, the necessity of AI video interview arises when conducting an interview for acquisition of excellent talent in a non-face-to-face situation due to similar situations such as Covid-19. As a matter to be supplemented in general AI interviews, it is difficult to evaluate the reliability and qualitative factors. In addition, the AI interview is conducted not in a two-way Q&A, rather in a one-sided Q&A process. This paper intends to fuse the advantages of existing AI interviews and video interviews. When conducting an interview using AI image analysis technology, it supplements subjective information that evaluates interview management and provides quantitative analysis data and HR expert data. In this paper, image-based multi-modal AI image analysis technology, bioanalysis-based HR analysis technology, and web RTC-based P2P image communication technology are applied. The goal of applying this technology is to propose a method in which biological analysis results (gaze, posture, voice, gesture, landmark) and HR information (opinions or features based on user propensity) can be processed on a single screen to select the right person for the hire.

• 재활복지
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• 제14권3호
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• pp.225-256
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• 2010

본 연구는 초등학교 지적장애아동의 자세조절 특성을 파악하기 위해 시각, 안뜰감각 그리고 몸감각을 조합하여, 실험 조건에 따라 자세유지를 위하여 어떤 감각을 활용하고 있는지, 부적절한 감각자극에 대해서 통합시스템에서 어떻게 반응하는지, 외부 동요에 대해 신경근육의 자세조절 전략 시 동원되는 근육의 수축 개시시간과 개시순서를 각각 측정하여, 지적장애 아동의 자세조절 특성을 살펴보고, 나아가 초등학교 지적장애아동과 일반아동 간에 어떠한 차이가 있는지를 비교분석하여 자세조절능력 향상 프로그램에 적용 시 방향을 제시해주는데 있다. 이를 위하여 성별과 연령을 고려하여 초등학교 지적장애아동 26명과 일반아동 26명의 아동으로부터 자세조절능력을 비교하였다. 그 결과 자세조절과 감각계와의 관계를 파악한 평형점수와 감각활용 분석, 엉덩관절 전략에 의지하는 자세조절 전략, 근수축 개시지연과 근수축 개시순서의 변화 등을 종합해 볼 때 초등학교 지적장애아동의 자세조절의 문제는 운동시스템, 감각시스템, 통합시스템의 자세조절 시스템 전반에 걸친 총체적인 문제로 나타났다. 따라서 초등학교 지적장애아동의 자세조절 문제 해결을 위해서는 운동시스템, 감각시스템, 통합시스템을 포함하는 포괄적 자세조절 훈련 프로그램의 접근이 필요하다는 것을 알 수 있다. 자세조절 프로그램을 구성할 때, 다양한 감각을 제공하여 주고, 제공된 감각을 효율적으로 활용할 수 있는 감각훈련과 함께 고위중추에서 입력된 감각들을 정상적인 자세조절 발달에 활용할 수 있도록 훈련 시켜주어야 한다. 적응 반응을 계획하고 조직화하여 의미 있는 활동을 통해 중추신경계의 처리능력을 향상시키는 치료프로그램이 제공되어야 한다. 또한 자세조절을 안정적으로 할 수 있는 안정성 한계를 넓힐 수 있는 신경발달학적 치료와 함께, 근골격계에서 빠른 근수축 반응과 효율적인 근수축 개시순서를 유발 할 수 있도록 고유수용성 운동조절 프로그램, 자세반응 촉진 프로그램과 같은 훈련이 필요하다고 할 수 있다.

• 한국산학기술학회논문지
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• 제21권7호
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• pp.285-291
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• 2020

제조 산업에서 인력은 로봇으로 대체되지만 전문 기술은 데이터 변환이 어려워 산업용 로봇에 적용이 불가능하다. 이는 비전 기반의 모션 인식 방법으로 데이터 확보가 가능하나 이미지 데이터에 따라 판단 값이 달라질 수 있다. 따라서 본 연구는 비전 방법을 사용해 사람의 자세를 추정 시 영향을 미치는 인자를 고려해 정확성 향상 방법을 찾고자 한다. 비전 방법 중 OpenPose의 3가지 모델 MPII, COCO 및 COCO + foot을 사용했으며, CNN(Convolutional Neural Networks)을 사용한 OpenPose 구조에서 얼굴 가림 및 이미지 전처리에 미치는 영향을 확인하고자 액세서리의 유무, 이미지 크기 및 필터링을 매개 변수로 설정했다. 각 매개 변수 별 이미지 데이터를 3 가지 모델에 적용해 실제 값과 예측 값 사이 거리 오차와 PCK (Percentage of correct Keypoint)로 영향도를 판단했다. 그 결과 COCO + foot 모델은 3 가지 매개 변수에 대한 민감도가 가장 낮았다. 또한 이미지 크기는 50% (원본 3024 × 4032에서 1512 × 2016로 축소) 이상 비율이 가장 적절하며, MPII 모델만 emboss 필터링을 적용할 때 거리 오차 평균이 최대 60pixel 감소되어 향상된 결과를 얻었다.

• 동의생리병리학회지
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• 제23권1호
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• pp.97-103
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• 2009

The status and the property of a tongue are the important indicators to diagnose one's health like physiological and clinicopathological changes of inner organs. However, the tongue diagnosis is affected by examination circumstances like a light source, patient's posture, and doctor's condition. To develop an automatic tongue diagnosis system for an objective and standardized diagnosis, classifying tongue coating is inevitable but difficult since the features like color and texture of the tongue coatings and substance have little difference, especially in the neighborhood on the tongue surface. The proposed method has two procedures; the first is to acquire the color table to classify tongue coatings and substance by automatically separating coating regions marked by oriental medical doctors, decomposing the color components of the region into hue, saturation and brightness and obtaining the 2nd order discriminant with statistical data of hue and saturation corresponding to each kind of tongue coatings, and the other is to apply the tongue region in an input image to the color table, resulting in separating the regions of tongue coatings and classifying them automatically. As a result, kinds of tongue coatings and substance were segmented from a face image corresponding to regions marked by oriental medical doctors and the color table for classification took hue and saturation values as inputs and produced the classification of the values into white coating, yellow coating and substance in a digital tongue diagnosis system. The coating regions classified by the proposed method were almost the same to the marked regions. The exactness of classification was 83%, which is the degree of correspondence between what Oriental medical doctors diagnosed and what the proposed method classified. Since the classified regions provide effective information, the proposed method can be used to make an objective and standardized diagnosis and applied to an ubiquitous healthcare system. Therefore, the method will be able to be widely used in Oriental medicine.