• 대한인간공학회지
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• 제30권3호
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• pp.419-426
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• 2011

Objective: The objective of this study was to evaluate a work of guards, using an ergonomic method(work analysis and posture analysis). Background: Most studies about guards were conducted in the field of medical, problems of shift, and the physical problems of old workers and social problems. But, guards consist of vulnerability group so it needs an ergonomic research in musculoskeletal disorders. Method: A head of an ergonomic estimation was work analysis(determination of combined task, work tool, work time and frequency of combined task) and posture analysis(upper body and lower body) of workers based on the video. Results: The result showed that combined task of guards was classification of patrolling, security, cleaning and waiting. The security indicated the highest ratio in the work time of combined tasks. The results of posture analysis for guards indicated high value in neutral. But, lower arm indicated high value in bending(left: 59%, right: 50%). Conclusion: The results of ergonomic methods indicated that guards' physical work load was not high during work, but comfortable work environment would be required for old guards. Application: If an ergonomic rule can be integrated into existing work environments, the risk of occupational injuries and stress will be reduced.

• 패션비즈니스
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• 제11권1호
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• pp.61-74
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• 2007

Photographic measurement was first made with the subjects of 190 males in their 20s residing in the Ningbo area, Zhejiang Province in China. In this second report, lower body shapes were classified and discriminated by using indirect measurement, measurement items, and lower body analysis. The following sums up the research: 1. The subjects were $8.85^{\circ}$ (hip breadth angle), $1.58^{\circ}$ (abdomen upper angle), $11.80^{\circ}$ (hip upper angle), and $5.12^{\circ}$ (lateral lower body posture angle). 2. The subjects of Chinese males in their 20s showed three types of lower bodies: Bow Legs & Slight Slant of Lateral Lower Body Type (30.5%)-gap between legs, curve waist-hip contour, average abdomen-hip profile, and lateral lower body posture were slightly slanted forward. Adjacent Straight Legs & Slight Slant of Lateral Lower Body Type (35.8%)-adjacent straight between legs, curve waist-hip contour, slim abdomen-hip profile, and lateral lower body posture were slightly slanted forward. Balance Legs & Large Slant of Lateral Lower Body Type (33.7%)-average between legs, straight waist-hip contour, protruding hip profile, and lateral lower body posture were largely slanted forward. 3. Eight useful variables for the categorization of the subjects' lower body types were chosen through stepwise discriminant analysis, and the hit ratio of discrimination was 97.9%.

• 한국직업건강간호학회지
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• 제11권2호
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• pp.121-131
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• 2002

Objective: The purpose of this study was to determine the physical load by identifying harmfully working postures and to develop recommendations for improving the existing situation with nurses in ICU, thereby to provide the basis for development of work-related musculoskeletal preventive program. Method: Various types of tasks were recorded with a video camera to chart and analyze different postures by OWAS(Ovako Working Posture Analysing System). Collected data showed that poor postures were adopted, not only for lifting or repositoning a patient, but also for other tasks. Data Analysis: The performed activities were then divided into Nursing Intervention Classification. Altogether 128 postures were selected for analysis. Then they were classified into different OAC (OWAS Action Categories). From all the observation, unhealthy postures, for which corrective measures had to be considered immediately (i.e., 75% classified as OACII+III+IV) were found. Collected data were analyzed in terms of percentage, 2-tail Mann-Whitney U test. Result: Poor postures mainly occur during 'positioning the patient' and 'airway suctioning' in NIC. No difference was found (p=0.060) between the percentage of harmful posture adopted during the patient handling tasks and non-patient handling tasks. Conclusion: This study shows, that in the nursing profession with ICU not only occur during patient handling, but also during other activities. The OWAS method was useful in determining the physical load by locating potential activities due to harmfully working postures, providing a detailed description with analysis, and suggesting successful means to reduce postural load.

• Journal of Animal Science and Technology
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• 제63권2호
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• pp.367-379
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• 2021

The objectives of this study were to evaluate convolutional neural network models and computer vision techniques for the classification of swine posture with high accuracy and to use the derived result in the investigation of the effect of dietary fiber level on the behavioral characteristics of the pregnant sow under low and high ambient temperatures during the last stage of gestation. A total of 27 crossbred sows (Yorkshire × Landrace; average body weight, 192.2 ± 4.8 kg) were assigned to three treatments in a randomized complete block design during the last stage of gestation (days 90 to 114). The sows in group 1 were fed a 3% fiber diet under neutral ambient temperature; the sows in group 2 were fed a diet with 3% fiber under high ambient temperature (HT); the sows in group 3 were fed a 6% fiber diet under HT. Eight popular deep learning-based feature extraction frameworks (DenseNet121, DenseNet201, InceptionResNetV2, InceptionV3, MobileNet, VGG16, VGG19, and Xception) used for automatic swine posture classification were selected and compared using the swine posture image dataset that was constructed under real swine farm conditions. The neural network models showed excellent performance on previously unseen data (ability to generalize). The DenseNet121 feature extractor achieved the best performance with 99.83% accuracy, and both DenseNet201 and MobileNet showed an accuracy of 99.77% for the classification of the image dataset. The behavior of sows classified by the DenseNet121 feature extractor showed that the HT in our study reduced (p < 0.05) the standing behavior of sows and also has a tendency to increase (p = 0.082) lying behavior. High dietary fiber treatment tended to increase (p = 0.064) lying and decrease (p < 0.05) the standing behavior of sows, but there was no change in sitting under HT conditions.

• 한국통신학회논문지
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• 제28권7C호
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• pp.712-718
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• 2003

C.elegans 선충은 유전자 기능 연구에 주로 쓰이고 있으나, 변종들의 구분이 육안으로는 쉽지 않다. 이를 해결하기 위하여 컴퓨터 비젼을 이용하여 자동으로 분류할 수 있는 시스템이 연구 중이며, 이전 논문［1］에서 선충의 자동 분류 시스템에 사용될 영상의 전처리 과정에 대하여 서술한 바 있다. 본 논문에서는 전처리 된 영상 데이터를 이용하여 추출해 낼 수 있는 선충의 형태적 특징들을 제시한다. 선충의 크기와 관련한 특징과 자세에 관련한 특징으로 나누어, 각 특징의 추출 알고리즘을 수학적으로 표현하였다. 실험에서 제시된 형태적 특징 정보를 이용하여 직접 분류해 봄으로써 성능을 확인하였다. 분류 알고리즘은 Hierarchical Clustering을 사용하였다. 그 결과 실험에 이용된 선충의 4 종류 모두 90% 이상 옳게 분류되었다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 1999년도 추계종합학술대회 논문집
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• pp.483-486
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• 1999

In this paper, we present a real-time hand gesture recognition system that controls motion of a human avatar based on the pre-defined dynamic hand gesture commands in a virtual environment. Each motion of a human avatar consists of some elementary motions which are produced by solving inverse kinematics to target posture and interpolating joint angles for human-like motions. To overcome processing time of the recognition system for teaming, we use a Fuzzy Min-Max Neural Network (FMMNN) for classification of hand postures

• 대한치과교정학회지
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• 제27권2호
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• pp.221-230
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• 1997

두경부 자세는 생리적 활동의 기능적 요구에 의해 영향을 받으며 두개 안면 골격의 형태학적 발육에 직접 혹은 간접으로 영향을 미치는 것으로 알려져 있다. 대부분의 연구에서 안모형태와 설골의 위치,두경부 자세는 서로 매우 높은 상관 관계를 나타내며, 특히 하악골의 전후방 위치가 두경부 자세와 가장 큰 상관 관계를 가지는 것으로 알려져 있다. 이와같은 연구에서는 대부분 연구대상을 Natural Head Position(NHP)으로 유도하였으며 여러 연구자들에 의해 NHP의 재현성이 매우 높다고 알려져있으나, 교정환자를 위해 통법의 두부방사선 사진을 찍은 경우에는 어떠한 상관관계가 있는지에 대해선 연구가 적은 실정이다. 이에 본 연구에서는 여러 안모 유형의 성인 여자 환자를 대상으로 수직기 준선을 나타내는 수직선 추를 이용하여 통법에 따라 채득한 치료전 측모 두부방사선 사진을 이용하여 Wits와 ANB을 기준으로 골격성 부정교합군을 I, II, III로 분류하였으며 각 군별 20명씩 선택하여 두경부 위치와 설골 위치의 부정교합 분류에 따른 상관성 여부를 알아보아 다음과 같은 결론을 얻었다. 1. 두개저에 대한 설골의 수직적 위치 비교시 Cl II에 비해 C1 III 에서 설골이 더 하방 위치하였다 2. 경추에 대한 설골의 전후방 위치 비교시 Cl II 에 비해 Cl III 에서 설골이 더 전방 위치 하였다. 3. 하악에 대한 설골의 수직적 위치는 Cl I, II, III 간에 통계학적 유의차가 없었다. 4. 악골의 전후방 관계를 나타내는 A N B, Wits 와 설골의 위치 사이에는 통계학적 상관관계를 관찰할 수 없었다. 5. Cl II 에서 나타나는 상대적인 두부 신전 (extension)은 Bjork Sum, ANB와 역상관관계를 나타냈다 6. Cl II 와 Cl III 에서 Post to Ant Facial Height 과 NSL/VER은 순상관관계를 나타냈다.

• 복식문화연구
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• 제6권3호
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• pp.201-216
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• 1998

This study is aimed at exploring a reasonable and reliable method of measuring pre-school children's somatotypes and there by, data basing the information obtained and classifying their somatotypes, at providing useful data which can be utilized for the design of their dress forms and enhancing the fitness of their apparels. to this end, 330 pre-school children living in the capital area and aged fro m4 to 6 were sampled to be subject to the measurement of their somatotypes. The results of this study can be summarized as follows; 1. As the pre-school children grow, the scales indicating their vertical growth including height could well be measured differently, but those scales indicating their lateral somatotypes which reflect their postural changes did not show among age groups. in other words, male kids were higher in the scales including height than female kids, while there were not differences between sexes in most scales indicating their lateral somatotypes. 2. The elements comprising the somatotypes were the size of body skeleton, the thickness of body mass, the posture and shape of body mass, the lateral under-neck shape, the extrusion of belly, the length between front and the back shoulder, the shape of lower belly, the shape of upper hip, the shape of lower hip and the slope of shoulders. Among them, the first two elements accounted for 64.8% of the total distribution, which means that these two elements explain the body-mass somatotypes of kid's most effectively. 3. The sample kids were divided into two types for classification of their somatotypes. As a result, it was found that the elements determining their somatotypes most influentially are, unlike adults' case the size of body skeleton rather than posture or lateral body shape. The type I showed less dimensions in most scales than type II, while their shoulder were les developed,. The type I was found distributed much in 4-year-old female kids. The type II showing more development in each element was found distributed much in 6-year-old male kids.

• 대한인간공학회지
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• 제31권6호
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• pp.773-783
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• 2012

Objective: The aim of this study is to identify foot shapes of Korean male farmers by classifying their foot types using 3D scan data and analyzing the characteristics of each type. Background: The increasing demands for anthropometric information for the design of machinery and personal protective equipment to prevent occupational injuries has necessitated an understanding of the anthropometric differences to be found among occupations. Static stooped posture and squatting posture are so common in Korean farmers that anthropometric deformation in foot especially seems to occur easily. Method: 366 Korean male farmers volunteered for this study from 16 different farming villages nationwide from 2009 to 2011. Subjects were categorized into 4 age groups from 40s to 70s. Their right feet were measured by using 3D foot scanner, the anthropometric dimensions were composed of 40 items. Results: The 8 major factors affecting the foot shapes were extracted. From these factors the foot shape of Korean male farmers was classified into 3 Foot types. Foot type 1 showed severe deformation in toe 1, type 2 had a narrow shape and type 3 had a wider width for its length. Conclusion: There were some differences in foot shape and types between farmers and the public. The most characteristic foot type in Korean male farmers was type 3. Application: The results of identifying foot shapes of Korean male farmers might provide the useful information for designing ergonomic farm work shoes.

• 한국전기전자재료학회논문지
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• 제24권1호
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• pp.81-88
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• 2011

A real time monitoring system from a PC has been developed which can be accessed through transmitted data, which incorporates an established low powered transport system equipped with a single chip combined with wireless sensor network technology from a three-axis acceleration sensor. In order to distinguish between static posture and dynamic posture, the extracted parameter from the rapidly transmitted data needs differentiation of movement and activity structures and status for an accurate measurement. When results interpret a static formation, statistics referring to each respective formation, known as the K-mean algorithm is utilized to carry out a determination of detailed positioning, and when results alter towards dynamic activity, fuzzy algorithm (fuzzy categorizer), which is the relationship between speed and ISVM, is used to categorize activity levels into 4 stages. Also, the ISVM is calculated with the instrumented acceleration speed on the running machine according to various speeds and its relationship with kinetic energy goes through correlation analysis. With the evaluation of the proposed system, the accuracy level stands at 100% at a static formation and also a 96.79% accuracy with kinetic energy and we can easily determine the energy consumption through the relationship between ISVM and kinetic energy.