• The Transactions of The Korean Institute of Electrical Engineers
• /
• v.64 no.7
• /
• pp.1056-1063
• /
• 2015

In this paper, we develop an interface for aerial photograph platform which consists of a quadrotor and a gimbal using the human body and the head posture. As quadrotors have been widely adopted in many industries such as aerial photography, remote surveillance, and maintenance of infrastructures, the demand of aerial video and photograph has been increasing remarkably. Stick type remote controllers are widely used to control a quadrotor, but this method is not an intuitive way of controlling the aerial vehicle and the camera simultaneously. Therefore, a new interface which controls the serial photograph platform is presented. The presented interface uses the human head movement measured by head-mounted display as a reference for controlling the camera angle, and the human body posture measured from Kinect for controlling the attitude of the quadrotor. As the image captured by the camera is displayed on the head-mounted display simultaneously, the user can feel flying experience and intuitively control the quadrotor and the camera. Finally, the performance of the developed system shown to verify the effectiveness and superiority of the presented interface.

• Journal of the Institute of Electronics Engineers of Korea SP
• /
• v.44 no.6
• /
• pp.75-83
• /
• 2007

A model based approach of tracking the limbs of a walking human subject is proposed in this paper. The tracking process begins by building a data base composed of conditional probabilities of motions between the limbs of a walking subject. With a suitable amount of video footage from various human subjects included in the database, a probabilistic model characterizing the relationships between motions of limbs is developed. The motion tracking of a test subject begins with identifying and tracking limbs from the surveillance video image using the edge and silhouette detection methods. When occlusion occurs in any of the limbs being tracked, the approach uses the probabilistic motion model in conjunction with the minimum cost based edge and silhouette tracking model to determine the motion of the limb occluded in the image. The method has shown promising results of tracking occluded limbs in the validation tests.

• Korean Journal of Community Nutrition
• /
• v.7 no.4
• /
• pp.539-547
• /
• 2002

The purpose of this study was to investigate whether the health status as determined by a self-assessment checklist was related to the nutritional status of elderly Korean women. We interviewed 59 female subjects living in the Daegu area aged over 55 years. Information on their dietary intake on two consecutive days was collected by the 24-hour Recall Method. Their body compositions were measured using a Bio-electrical Impedence Fatness Analyzer. Their zinc status was evaluated according to their dietary zinc intake and urinary zinc excretion in urine samples collected for 24 hours. Their heath status was determined by a NSI Checklist. While 50.9% of the total subjects belonged to a moderate nutritional risk group,23.7% of the subjects were at a high nutritional risk. It appeared that only 25.4% of the subjects were evaluated as being healthy. Therefore, the overall nutritional health status of the elderly females belonged to the moderate nutritional risk group. Except for vitamin C, the average daily nutrient intake of the subjects was below the level of the recommended dietary allowances (RDA) for Koreans. The lower the nutritional health score, the better was their dietary intake of energy (p<.05), protein (p<.001), and zinc (p<.01). A positive relationship between their nutritional health score and body fat ratio was also observed (p<.05). Therefore, we suggest that the NSI Checklist could be used as a practical screening tool at the beginning of nutritional surveillance of the elderly in the community.

• Journal of Trauma and Injury
• /
• v.33 no.4
• /
• pp.207-218
• /
• 2020

The following recommendations are presented herein: All trauma patients admitted to the resuscitation room should be constantly (or periodically) monitored for parameters such as blood pressure, heart rate, respiratory rate, oxygen saturation, body temperature, electrocardiography, Glasgow Coma Scale, and pupil reflex (1C). Chest AP and pelvic AP should be performed as the standard initial trauma series for severe trauma patients (1B). In patients with severe hemodynamically unstable trauma, it is recommended to perform extended focused assessment with sonography for trauma (eFAST) as an initial examination (1B). In hemodynamically stable trauma patients, eFAST can be considered as the initial examination (2B). For the diagnosis of suspected head trauma patients, brain computed tomography (CT) should be performed as an initial examination (1B). Cervical spine CT should be performed as an initial imaging test for patients with suspected cervical spine injury (1C). It is not necessary to perform chest CT as an initial examination in all patients with suspected chest injury, but in cases of suspected vascular injury in patients with thoracic or high-energy damage due to the mechanism of injury, chest CT can be considered for patients in a hemodynamically stable condition (2B). CT of the abdomen is recommended for patients suspected of abdominal trauma with stable vital signs (1B). CT of the abdomen should be considered for suspected pelvic trauma patients with stable vital signs (2B). Whole-body CT can be considered in patients with suspicion of severe trauma with stable vital signs (2B). Magnetic resonance imaging can be considered in hemodynamically stable trauma patients with suspected spinal cord injuries (2B).

• Journal of KIISE:Software and Applications
• /
• v.32 no.8
• /
• pp.759-768
• /
• 2005

This paper describes an algorithm that can recognize gestures constructing subspace gesture symbols with hybrid feature information. The previous popular methods based on geometric feature and appearance have resulted in ambiguous output in case of recognizing between similar gesture because they use just the Position information of the hands, feet or bodily shape features. However, our proposed method can classify not only recognition of motion but also similar gestures by the partial feature information presenting which parts of body move and the global feature information including 2-dimensional bodily motion. And this method which is a simple and robust recognition algorithm can be applied in various application such surveillance system and intelligent interface systems.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.11 no.4
• /
• pp.2075-2092
• /
• 2017

Person re-identification is to match pedestrians observed from non-overlapping camera views. It has important applications in video surveillance such as person retrieval, person tracking, and activity analysis. However, it is a very challenging problem due to illumination, pose and viewpoint variations between non-overlapping camera views. In this work, we propose a viewpoint invariant method for matching pedestrian images using orientation of pedestrian. First, the proposed method divides a pedestrian image into patches and assigns angle to a patch using the orientation of the pedestrian under the assumption that a person body has the cylindrical shape. The difference between angles are then used to compute the similarity between patches. We applied the proposed method to real-time global multi-object tracking across multiple disjoint cameras with non-overlapping field of views. Re-identification algorithm makes global trajectories by connecting local trajectories obtained by different local trackers. The effectiveness of the viewpoint invariant method for person re-identification was validated on the VIPeR dataset. In addition, we demonstrated the effectiveness of the proposed approach for the inter-camera multiple object tracking on the MCT dataset with ground truth data for local tracking.

• Research in Community and Public Health Nursing
• /
• v.19 no.4
• /
• pp.587-599
• /
• 2008

Purpose: The purpose of this study is to compare the differences between obese and non-obese students in sedentary leisure-time activities. Methods: The survey was performed with 725 students from 3 different middle schools in Kyeonggi-do. In order to measure the degree of obesity. used are BMI and "2007 Korea Children and Adolescents' Average Scale". With regard to the leisure activities. YRBS and "youth Behavior Risk Factor Surveillance" were referred. Results: The rate of boys' overweight was 18.0% and that of girls was 11.8%. Students watching TV 3hours+/day were 16.6% for boys and 30.6% for girls during weekday. Respective values for weekend were 56.8% and 71.4%. Students using computer 3hours+/day were both 14.5% for boys and girls during weekday. and 53.7% for boys and 36.7% for girls during weekend. 14.9% of boys and 21.2% of girls didn't participate in vigorous physical activities and 5.9% for boys and 11.2% for girls didn't participate in moderate physical activities. The differences between obese and non-obese students in sedentary activities were not significant. However. the difference in leisure-time activity was significant. Conclusion: The programs for prevention and management of adolescents' obesity have to be focused on reducing their sedentary activities and improving physical activities.

• International Journal of Contents
• /
• v.16 no.3
• /
• pp.1-17
• /
• 2020

Human motion recognition is essential for user-centric services such as surveillance-based security, elderly condition monitoring, exercise tracking, daily calories expend analysis, etc. It is typically based on the movement data analysis such as the acceleration and angular velocity of a target user. The existing motion recognition studies are only intended to measure the basic information (e.g., user's stride, number of steps, speed) or to recognize single motion (e.g., sitting, running, walking). Thus, a new mechanism is required to identify the transition of single motions for assessing a user's consecutive motion more accurately as well as recognizing the user's body and surrounding situations arising from the motion. Thus, in this paper, we collect the human movement data through Android smartphones in real time for five targeting single motions and propose a mechanism to recognize a consecutive motion including transitions among various motions and an occurred situation, with the state transition model to check if a vulnerable (life-threatening) condition, especially for the elderly, has occurred or not. Through implementation and experiments, we demonstrate that the proposed mechanism recognizes a consecutive motion and a user's situation accurately and quickly. As a result of the recognition experiment about mix sequence likened to daily motion, the proposed adoptive weighting method showed 4% (Holding time=15 sec), 88% (30 sec), 6.5% (60 sec) improvements compared to static method.

• Molecules and Cells
• /
• v.42 no.12
• /
• pp.836-839
• /
• 2019

A tumor is an abnormal mass of tissue that arises when cells divide more than they should or do not die when they should. The cellular decision regarding whether to undergo division or death is made at the restriction (R)-point. Consistent with this, an increasingly large body of evidence indicates that deregulation of the R-point decision-making machinery accompanies the formation of most tumors. Although the R-point decision is literally a matter of life and death for the cell, and thus critical for the health of the organism, it remains unclear how a cell chooses its own fate. Recent work demonstrated that the R-point constitutes a novel oncogene surveillance mechanism operated by R-point-associated complexes of which RUNX3 and BRD2 are the core factors (Rpa-RX3 complexes). Here, we show that not only RUNX3 and BRD2, but also other members of the RUNX and BRD families (RUNX1, RUNX2, BRD3, and BRD4), are involved in R-point regulation.

• Bulletin of the Korean Space Science Society
• /
• 2009.10a
• /
• pp.40.3-41
• /
• 2009

인류가 위성을 발사하기 시작하면서 수많은 우주파편이 발생하게 되었고 이로 인하여 우주파편 환경은 날이 갈수록 심각해지고 있다. 우주공간을 비행하는 우주물체는 분쇄된 파편, 임무 관련 파편, rocket body 그리고 운용위성으로 구분된다. U.S. Space Surveillance Network에 따르면 10cm 이상 크기를 갖는 물체는 현재 13,000개가 넘는다고 알려지고 있고 질량만 해도 6,000톤이 넘는다. 이런 우주파편 환경으로 인하여 우주파편 간의 충돌, 우주파편과 운용위성 간의 충돌 또는 운용위성 간의 충돌에 대한 우려가 꾸준히 제기되어왔고, 불행하게도 2009년 2월 10일 Iridium 33과 Cosmos 2251 위성이 고도 790km 부근에서 충돌하여 1,300여개의 우주파편이 발생했다. 또한 2007년에 중국이 고도 860km 부근에서 750kg에 해당하는 자국의 위성(FY-1C)을 미사일로 격추시킴에 따라 2500여개의 우주파편이 발생하여 저궤도의 우주파편 환경을 더욱 심각하게 만들고 있다. 운용위성과 우주파편과의 충돌 가능성을 분석하기 위해서는 우주파편 및 위성의 궤도정보를 알아야 한다. 이를 위해서 NORAD(North American Aerospace Defense Command)에서 제공하는 TLE(Two Line Element)가 주로 이용된다. 하지만 관측 및 궤도 결정 특성상 수 km의 오차를 포함하므로 궤도정보의 공분산이 크다는 단점이 있으므로 충돌 분석을 수행하는데 있어 한계가 있다. 이 논문은 충돌분석 수행에 있어 TLE 정보만을 이용한 경우뿐만 아니라 정밀궤도와 TLE를 동시에 이용한 경우를 비교함으로써 충돌 불확실성의 해소방안을 제시할 계획이다.