• 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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• 제16권4호
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• pp.477-481
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• 2010

본 연구에서는 무선 센서 네트워크를 기반으로 침대 주변에서 사람의 행동유형을 분류하고자 한다. 침대 주변에서 사람의 다섯가지 행동유형과 세가지 상태들을 정의하고, 이들을 상태기계로 표현하였다. 움직임 감지 및 진동센서들을 통해 행동유형 관련 데이터들을 수집하고 이로 부터 특정벡터를 추출하였다. 행동유형별 특징벡터와 상태기계를 기초로 행동유형 모델을 정립하였고, 정립된 모델의 유효성 검증을 위해 실험을 실시한 후 행동유형 모델을 보정하였다. 이러한 실험결과들은 침대 주변에서 사람들이 행하는 행동유형들이 잘 분류될 수 있음을 보여준다.

• 한국의류산업학회지
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• 제21권4호
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• pp.468-479
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• 2019

This study used a three-dimensional-analysis method to quantitatively analyze the change of clothing appearance according to a gusset added to bodice and sleeve patterns for men in their twenties. Comparing six different patterns, the study found that patterns P1 and P2 with little gusset did not have a large difference in the strain map, and pattern P6 had no gusset in the motion of raising the arm $28^{\circ}$ to the side (M1). When the arm was raised $45^{\circ}$ to the side (M2), the P1 pattern had the smallest deformation, and only the P5 pattern had a large deformation from the neck to the armhole area. In contrast, except for in the P3 pattern, large wrinkles formed in the front and back when the arm was raised above $158^{\circ}$ (M3) from the side of the waist to the armpit. In addition, P3 had the smallest change in the hem of the bodice and sleeves. However, the appearance of P2, P3, and P5 was excellent when the arm was moved forward (M4), and the P2 and P5 patterns were the smallest at the bodice and sleeve hem. The P6 pattern showed the least fitness in terms of function. In the case of raising the arm, there was a strong correlation between gusset size and motion function, but when the motion of the arm changed, the motion function did not improved just by changing the ease size.

• 한국실내디자인학회논문집
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• 제27권2호
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• pp.118-127
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• 2018

To complete the appropriate pattern language as a planning tool for suburban houses in Korea, this study reviews the characteristics in applying the pattern language to suburban houses in Korea by creating the pattern application examination chart regarding 110 patterns in architecture and evaluating and analyzing 24 examples in terms of the applicability of the patterns, the results of which are as set forth below. Firstly, when grouping the upper 31 patterns by similar characteristics, it was distinguished by the characteristics relating to (i) securing of lighting and viewing; (ii) placing of buildings and space and adjustment of inside and outside privacy through such placing; (iii) placing of proper motion line and functions of adjacent space according to such motion line; and (iv) determining of important space such as personal room, area for couple or children, staircase, entrance, hallway, etc. Secondly, when analyzing the reasons that the lower 41 patterns have not been applied, it was characterized by (i) the work space not suitable for suburban houses or the patterns suitable for commercial space; (ii) the patterns not suitable in Korea due to cultural differences; and (iii) the patterns whose applicability cannot be confirmed due to the limitation of examples and materials used in this study. Thirdly, the analysis of each pattern group (A through M) revealed that the pattern groups D and G are rarely related to suburban houses and J and M are patterns whose applicability cannot be determined in this study. Another characteristics is that the pattern groups B, E, F, I and L which obtain high scores in applicability are importantly reflected in planning for suburban houses in Korea. Fourthly, this study renders the average score of applicability, and the applicability rate, of the examples and confirms the number of the patterns applied in confirmity, patterns partially or potentially applied and patterns not applied at all.

• PNF and Movement
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• 제21권3호
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• pp.319-326
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• 2023

Purpose: The purpose of this study was to investigate the effects of modified ankle movement patterns on participants' active dorsiflexion range of motion and leg muscle activity. Methods: This study recruited twenty-five participants, all of whom were healthy individuals with no abnormalities in the ankle or knee joints. The research methodology involved measuring the active dorsiflexion range of motion and muscle activity in each person's legs based on the presence or absence of toe extension while the subjects were in a comfortable, supine position. A statistical analysis was conducted using SPSS 25.0, and a paired samples t-test was employed. The significance level was set at 0.05. Results: When the participants demonstrated the modified ankle movement pattern with a controlled toe grip, there was an increase in their active dorsiflexion angle. However, during the proprioceptive neuromuscular facilitation technique without a controlled toe grip, a higher level of activity was observed in the leg muscles. Conclusion: The results of this study could be used as foundational data for establishing a rehabilitation exercise program designed to enhance range of motion and muscle activation in the ankle joint.

• The Journal of Korean Physical Therapy
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• 제27권4호
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• pp.214-220
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• 2015

Purpose: The purpose of this study was to investigate the availability of software for rehabilitation with the Kinect sensor by presenting an efficient algorithm based on machine learning when classifying the motion data of the PNF pattern if the subjects were wearing a patient gown. Methods: The motion data of the PNF pattern for upper extremities were collected by Kinect sensor. The data were obtained from 8 normal university students without the limitation of upper extremities. The subjects, wearing a T-shirt, performed the PNF patterns, D1 and D2 flexion, extensions, 30 times; the same protocol was repeated while wearing a patient gown to compare the classification performance of algorithms. For comparison of performance, we chose four algorithms, Naive Bayes Classifier, C4.5, Multilayer Perceptron, and Hidden Markov Model. The motion data for wearing a T-shirt were used for the training set, and 10 fold cross-validation test was performed. The motion data for wearing a gown were used for the test set. Results: The results showed that all of the algorithms performed well with 10 fold cross-validation test. However, when classifying the data with a hospital gown, Hidden Markov model (HMM) was the best algorithm for classifying the motion of PNF. Conclusion: We showed that HMM is the most efficient algorithm that could handle the sequence data related to time. Thus, we suggested that the algorithm which considered the sequence of motion, such as HMM, would be selected when developing software for rehabilitation which required determining the correctness of the motion.

• 한국운동역학회지
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• 제17권3호
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• pp.133-145
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• 2007

The purpose of this paper was to compare of difference between energy walking and normal walking. Subjects were selected 8 male undergraduates. The kinematic variables of a pelvis and a thorax were analysed at the take off and contact with 3d cinematography. In addition to the variables, the phase plot angle was calculated in order to definite characteristics in the phase space. The pelvic angle and angular velocity showed significant differences in the flexion/extension between two walking patterns. The pelvic angle and angular velocity were increasing when walking speed was increasing and magnitude of the variables of energy walking was larger than corresponding values for normal walking. On the other hand, the thoracic angle demonstrated significant differences in the flexion/extension and rotation between two walking patterns. The angles of energy walking were smaller in the flexion/extension and were larger in the rotation than the angle of normal walking. The kinematic characteristics of energy walking were also showed clearly significant differences in the range of motion and the relative angle of the trunk. The angle of phase plot only showed demonstrated a significant difference in the rotation at contact between the two walking patterns.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1987년도 한국자동제어학술회의논문집; 한국과학기술대학, 충남; 16-17 Oct. 1987
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• pp.324-328
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• 1987

In this study a computer-aided textile pattern design system is implemented and a control methodology of a dobby motion is studied. The described system allows the user to design various weave patterns through graphic editor and to simulate weaving by displaying the dummy weaving process on the monitor. In addition, if the yarn colors are specified it is also possible to analyze color weaves. Thus it can replace effectively a conventional. design tool, a design paper. The main features of the system are to design weave patterns, to show weaving effect, and to make lifting plan for the dobby motion control. In dobby motion control, the mechanical. control method conventionally used is not adequate for the loom which is linked with the computer-aided textile pattern design system, so an electromagnetic control method is proposed.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 2011년도 추계학술대회
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• pp.143-146
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• 2011

This paper presents human perception-based video coding method using an online learning framework. In this work, we analyze the relationship between human attention regions and video quality, and also consider human memory. We classify the motion patterns based on the analysis. Then, we devise a motion pattern classification method using Hedge algorithm. Along with the motion patterns, we smooth out the specific regions or sharpen details of the regions using the regional priorities. The preprocessed sequences are applied to the video codec. The performance is excellent on the overall quality as well as the regional quality.

• 한국정밀공학회지
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• 제24권2호
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• pp.58-63
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• 2007

This paper proposes a novel method of projecting a multiple stripe pattern whose intensity profile is sinusoidal. The sinusoidal stripe patterns are plated with chromium on a piece of glass, and the glass is placed within an optical projection system. By linearly moving the glass along the direction of the stripe pattern, the projection system generates the motion blurring effect, and as a result, produces a blurred stripe pattern whose intensity profile is sinusoidal along the perpendicular direction of the stripe pattern. The sinusoidal pattern improves the measurement accuracy of phase-shifting method. Experimental results are provided for three different types of stripe patterns: rectangle, diamond, and sinusoid.

• 한국콘텐츠학회논문지
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• 제3권2호
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• pp.11-18
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• 2003

본 논문에서는 비트패턴을 기반으로 한 고속의 가변 블록 움직임 예측 알고리즘을 제안한다. 제안된 방법은 블록내의 평균값을 기준으로 8bit 화소값을 0과 1의 비트패턴으로 변환한 후 블록의 움직임 예측을 수행한다. 비트변환을 통한 영상의 단순화는 움직임 추정의 계산적 부담을 감소시켜 빠른 탐색을 가능하게 한다. 그리고 블록 내의 움직임 정도를 미리 판별하여 이를 기반으로 한 적응적 탐색이 불필요한 탐색을 제거하고 움직임이 큰 블록에서는 정합(matching) 과정을 심화시켜 보다 빠르고 정확한 움직임 예측을 수행한다. 본 제안된 방식을 가지고 실험한 결과, 한 프레임(frame)당 적은 수의 블록으로 고정된 크기의 블록을 가진 전역탐색 블록 정합 알고리즘(full search block matching algorithm； FS-BMA)보다 예측 에러를 적게 발생시켜 평균적으로 0.5dB 정도의 PSNR 개선을 가져왔다.