• 한국실내디자인학회논문집
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• 제17권3호
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• pp.131-138
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• 2008

This research is on a seating posture happening at a chair in a cinema and looked into various changes in a posture through the analysis of bodily movement in a established space like a cinema. Through the behavioral analysis of a seating posture in a limited space, each behavioral characteristic shown by a male and female and interdependent relations with a limited space were grasped. The conclusion through the above research work was as follows: 1) This research suggested a frame of analysis by dividing a seating posture into the side and upper part and was able to analyze its subsequent change characteristic of a seating posture by a male and female. 2) As for the side posture, a male was found to change fewer postures than a female, but as for the upper posture, there appeared a high frequency in posture change in case of a female. 3) As for time of staying in the side posture, a female was found to keep up a specific posture, and relatively a male changes his postures frequently while appreciating a movie; likely, as for the upper posture, it was found out that there existed a difference between the preference for the upper posture and time to keep it up. 4) A male and female were establishing a comfortable environment through their change in a posture, and there appeared changes in a posture the most within every 10 minutes in both the side and upper part postures. 5) As for the correlation between a initial posture and keep-up posture, it was found that a male tend to pursue a comfortable posture as time goes by, while a female kept up a comfortable one from her initial seating posture.

• 한국생활과학회지
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• 제13권1호
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• pp.153-158
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• 2004

With considerable development of comfortable and functional clothing in recent years, we need to evaluate the effects of garment pressure in daily wear on each parts of human body because the garment pressure is important to design the clothing. This study was designed to examine the effects of body postures on garment pressure on each parts of human body in the actual clothing conditions. All the data were collected from 50 volunteered subjects. The Garment pressure was measured in lune and December with 8 points CPMS clothing pressure system from scapular, upper am, elbow, under arm, front waist line, side waist line, abdomen, crista ilica, upper hip, middle hip, front thigh, back thigh, front knee and back knee. The postures of subjects were controlled with 3 positions such as standing (posture 1), sitting on the chair (posture 2), and sitting on the floor (posture 3) during measurement of clothing pressure. Clothing weights were more in men than in woman. It showed that clothing weights had no effects on the garment pressure. In this study, however, just the garment pressures on scapular and top of the hip increased significantly by clothing weight (p<. 05). Clothing horizontally pressed on scapular and top of hip but not on other parts. When subjects stood up, the garment pressure was the highest on the side waist. Especially, clothing pressure on the front waist point was lower than that of the left side waist. On the upper parts of the human body, the garment pressure of left side waist was the highest, and followed by front waist, crista ilica, and abdomen in order. When subjects were sitting on the chair, the garment pressure on the lower parts of the human body was the highest on the top of hip. When the subjects were sitting on the chair or on the floor, the surface area on their skin of hip and waist parts increased by postures. In addition, it showed that men felt more comfortable than women on higher clothing pressure level.

• 한국컴퓨터정보학회논문지
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• 제28권8호
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• pp.87-93
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• 2023

본 논문에서는 사용자의 골격 자세를 분석하여 네트워크 학습 기반으로 거북목 자세를 정확하고 효율적으로 판별하는 시스템을 제안한다. 거북목 증후군이란 목이 구부정하게 앞으로 나오는 자세를 오래 유지함으로써 목의 자세가 바뀌고 뒷목, 어깨, 허리 등에 통증이 생기는 증상을 말하며, 수술이나 약물치료보다 평소의 자세 습관이 효과적이라고 알려져 있다. 기존의 방법들은 웹캠을 이용한 합성곱 신경망을 이용하였고, 이러한 접근법은 영상의 명도와 조명, 피부 색 등에 영향을 받기 때문에 특정 인물에 대해서만 수행되는 문제가 있다. 본 논문에서는 이 문제를 완화하고 자 영상으로부터 골격을 추출하고, 정면보다는 측면에 해당하는 데이터를 학습하여 이전 기법보다 효율적이고 정확하게 거북목 자세를 찾아낸다. 결과적으로 이전 기법에 비해 다양한 실험 장면에서 정확도가 되었음을 보여준다.

• 한국정밀공학회지
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• 제23권7호
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• pp.159-167
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• 2006

The impact time history of human body with K2 rifle on stand shooting posture is analyzed and compared with experimental results. Analysis model is Korean 50% tile of twenties and height, weight is 174 cm, 62 kgf respectively. The muscle and bone human model of Korean man's twenties 50% tile is applied. ADAMS program is used for kinematic analysis and human model is developed by Life Mod program. The effect of the ground support condition, grip position and human weight factor are studied. Maximum impact force of shoulder is 784 N. The horizontal displacement of K2 rifle muzzle is 2.9 cm.

• 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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• 제8권4호
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• pp.367-375
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• 2002

역운동학 알고리즘은 다관절체의 엔드 이펙터를 제어하기 위한 매우 유용한 방법이다. 대부분의 역운동학 처리 과정에서 주된 관심사는 다관절체가 가지는 자세의 형태 자체가 아니라 제어되는 다관절체의 엔드 이펙터의 위치와 방향이다. 그러나 삼차원 캐릭터 애니메이션과 같은 종류의 응용 분야에 있어서는 엔드 이펙터의 정확한 위치와 방향보다는 다관절체의 전체적으로 자연스러운 자세 자체가 훨씬 더 중요한 요소이다. 실제로 애니메이터가 기존의 역운동학 기법을 사용해서 인체와 같이 다수의 물리적인 제약조건을 가지는 인간형 삼차원 캐릭터의 자세를 자연스럽게 제어하기 위해서는 많은 시행착오를 겪어야만 하기 때문에 이를 보완하는 특별한 알고리즘이 요구된다. CCD(Cyclic Coordinate Descent) 알고리즘은 기하학적인 검색을 통해 원하는 위치에 엔드 이펙터를 위치시키는 해를 구하는 역운동학 방식의 하나로서 사용자 상호작용을 통한 다관절체의 자세 제어에 적합하다. 그러나 CCD 알고리즘의 해는 초기 자세에 강력하게 종속되어 있기 때문에 초기 자세에 따라서 서로 다른 많은 해들을 얻게 된다. 본 논문에서는 인간형 캐릭터의 자세 제어를 위해 균등 자세 지도를 이용한 귀납적 역운동학 알고리즘을 제안한다. 균등자세 지도의 학습 알고리즘은 인간의 다양한 자세를 왜곡 없이 양자화하기 때문에 균등 자세 지도를 이용해서 기술되는 모든 자세들은 사실적인 자세임을 보장한다. 그러므로 균등 자세 지도를 통해 계산된 다관절체의 엔드 이펙터가 원하는 삼차원 위치와 가장 가까운 자세를 추출해 냄으로써 자연스러운 자세를 가지는 역운동학의 결과를 얻을 수 있다. 이러한 방식은 키 프레임 기반 삼차원 캐릭터 애니메이션의 제작과 3차원 게임, 그리고 가상 현실 등의 분야에 유용하게 적용될 수 있다.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2004년도 추계학술대회논문집
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• pp.369-374
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• 2004

This study aims to measure an apparent mass of a seated human body at the sitting posture in a passenger car in the frequency range from 1 to 20 Hz and to investigate the dynamic characteristics. Thirty subjects joined the test where eight levels of acceleration from $0.1m/s^2\;to\;2.0m/s^2$ were used to excite seated human body. Most of apparent mass curves showed two peaks in the frequency range of $4\sim9Hz$, first peak was clearer at the contact point of the seat and the hip, and the second one at the contact point of the backrest and the back. Both peak frequencies were found to move down to lower frequencies with increase of acceleration magnitude. Shapes of apparent mass curves were clearly different from those at erect posture especially in the frequency range around and above the second peak.

• 한국소음진동공학회논문집
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• 제20권12호
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• pp.1121-1127
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• 2010

Human characteristic responding to idle vibration on passenger vehicle was studied to find if affected by seating posture of passenger. When twelve male subjects are exposed to moderate vertical vibration of 0.224 $m/s^2$ r.m.s. at frequency range from 3 Hz to 40 Hz, it was found that seating posture significantly affects to biodynamical characteristics, apparent mass and apparent eccentric mass, at most range of idle vibration frequency(20~40 Hz). The supported thigh contact on rigid seat showed bigger values in the two biodynamical characteristics than the average thigh contact. The bigger apparent mass and apparent eccentric mass in the seating posture of the supported thigh contact can be assumed more strengthened muscle at the frequency range.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권2호
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• pp.763-774
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• 2015

Hand posture recognition has been a wide region of applications in Human Computer Interaction and Computer Vision for many years. The problem arises mainly due to the high dexterity of hand and self-occlusions created in the limited view of the camera or illumination variations. To remedy these problems, a hand posture recognition method using 3-D point cloud is proposed to explicitly utilize 3-D information from depth maps in this paper. Firstly, hand region is segmented by a set of depth threshold. Next, hand image normalization will be performed to ensure that the extracted feature descriptors are scale and rotation invariant. By robustly coding and pooling 3-D facets, the proposed descriptor can effectively represent the various hand postures. After that, SVM with Gaussian kernel function is used to address the issue of posture recognition. Experimental results based on posture dataset captured by Kinect sensor (from 1 to 10) demonstrate the effectiveness of the proposed approach and the average recognition rate of our method is over 96%.

• 조명전기설비학회논문지
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• 제20권9호
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• pp.24-31
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• 2006

This study developed a human robot mast arm, which has a structure similar to the human arm, with the objective of taking over human works. The robot arm was structured to reproduce human actions using three axes on each of the shoulder and the wrist based on mechanics, and the actuator of each axis adopted an ordinary DC motor. The servo system of the actuator is a one body type employing an amp for electric power, and it was designed to be small and lightweight for easy installation. We examined the posture control characteristics of the developed robot mast arm in order to test its interlocking, continuous motions and reliability.

• 대한약리학회:학술대회논문집
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• 대한약리학회 2006년도 The 6th Congress of the Federation of Asian and Oceanian Physiological Societies
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• pp.123.1-123.1
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• 2006