• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.10
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• pp.5112-5128
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• 2016

Tracking human body is an important problem in computer vision field. Tracking failures caused by occlusion can lead to wrong rectification of the target position. In this paper, a robust human tracking algorithm is proposed to address the problem of occlusion, rotation and improve the tracking accuracy. It is based on Tracking-Learning-Detection framework. The key auxiliary information is used in the framework which motivated by the fact that a tracking target is usually embedded in the context that provides useful information. First, face localization method is utilized to find key face location information. Second, the relative position relationship is established between the auxiliary information and the target location. With the relevant model, the key face information will get the current target position when a target has disappeared. Thus, the target can be stably tracked even when it is partially or fully occluded. Experiments are conducted in various challenging videos. In conjunction with online update, the results demonstrate that the proposed method outperforms the traditional TLD algorithm, and it has a relatively better tracking performance than other state-of-the-art methods.

• Journal of Korea Multimedia Society
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• v.19 no.1
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• pp.68-79
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• 2016

Electromyographic (EMG) signals have been widely used as motion commands of prosthetic arms. Although EMG signals contain meaningful information including the movement intentions of human body, it is difficult to predict the subject's motion by analyzing EMG signals in real-time due to the difficulties in extracting motion information from the signals including a lot of noises inherently. In this paper, four Ag/AgCl electrodes are placed on the surface of the subject's major muscles which are in charge of four upper arm movements (wrist flexion, wrist extension, ulnar deviation, finger flexion) to measure EMG signals corresponding to the movements. The measured signals are sampled using DAQ module and clustered sequentially. The Fuzzy C-Means (FCMs) method calculates the center values of the clustered data group. The fuzzy system designed to detect the upper arm movement intention utilizing the center values as input signals shows about 90% success in classifying the movement intentions.

• Archives of Plastic Surgery
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• v.32 no.4
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• pp.543-546
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• 2005

Pulmonary embolism is a one of the major cause of postoperative death. Surgery predisposes patients to pulmonary embolism, even as late as one month after the operation. The accurate detection of pulmonary embolism remains difficult, and the differential diagnosis is extensive. The prevention of pulmonary embolism is thus of paramount importance. We report a case of pulmonary embolism after coverage of pressure sore on the left ischium on the 8th day after operation. The patient was 60 years old, a severe smoker, in the high quantity of body mass index and had hypertension. The risk factors are 60 years of age or older who were in the highest quantity of body mass index. Heavy cigarette smoking and high blood pressure are also identified as risk factors. Plastic surgeons should keep the probability of pulmonary embolism development after operation in mind. When taking history, the risk factors should be checked certainly. The immobilization may explain the probability of pulmonary embolism development. Therefore absolute bed rest or positional maintenance should be avoided. Until recently, low molecular weight heparin has been used for preoperative prophylaxis. Plastic surgeons should be concerned in low molecular weight heparin for prophylaxis of the pulmonary embolism and study the indications and effectiveness in liposuction or abdominoplasty.

• Progress in Medical Physics
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• v.15 no.2
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• pp.112-119
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• 2004

We tried to build human models based on medical images of live Korean, instead of using standard data of human body structures. Characteristics of mechanical structures of human bodies were obtained from medical images such as CT and MR images. For each constitutional part of mechanical structures CT images were analyzed in terms of gray levels and MR images were analyzed in terms of pulse sequence. Characteristic features of various mechanical structures were extracted from the analyses. Based on the characteristics of each structuring element we peformed image segmentation on CT and MR images. We delineated bones, muscles, ligaments and tendons from CT and MR images using image segmentation or manual drawing. For the image segmentation we compared the edge detection method, region growing method and intensity threshold method and applied an optimal compound of these methods for the best segmentation results. Segmented mechanical structures of the head/neck part were three dimensionally reconstructed.

• Journal of Korea Multimedia Society
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• v.18 no.4
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• pp.557-564
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• 2015

There are many prior studies for more natural Human-Computer Interaction. Until now, the efforts is continued in order to recognize motions in various directions. In this paper, we suggest a user-specific recognition by hit detection method using Kinect camera and human proportion. This algorithm extracts the user-specific valid recognition rage after recognizing the user's body initially. And it corrects the difference in horizontal position between the user and Kinect, so that we can estimate a action of user by matching cursor to target using only one frame. Ensure that efficient hand recognition in the game to take advantage of this method of suggestion.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.05a
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• pp.616-617
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• 2013

This paper introduces a new method that controls a humanoid robot detecting a human motion using a Kinect sensor. Processing the output of a depth seneor of the Kinect sensor, we build a human stick model which represents each joint of human body. We detect a specific motion by calculating the distance and angle between joints. We send the control message to the robot using Bluetooth wireless communication.

• The Journal of Korea Robotics Society
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• v.12 no.2
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• pp.124-131
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• 2017

This paper present a novel approach to control the lower body power assistive exoskeleton system of a HEXAR-CR35 aimed at improving a muscular strength. More specifically the control of based on the human intention is crucial of importance to ensure intuitive and dexterous motion with the human. In this contribution, we proposed the detection algorithm of the human intention using the MCRS which are developed to measure the contraction of the muscle with variation of the circumference. The proposed algorithm provides a joint motion of exoskeleton corresponding the relate muscles. The main advantages of the algorithm are its simplicity, computational efficiency to control one joint of the HEXAR-CR35 which are consisted knee-active type exoskeleton (the other joints are consisted with the passive or quasi-passive joints that can be arranged by analyzing of the human joint functions). As a consequence, the motion of exoskeleton is generated according to the gait phase: swing and stance phase which are determined by the foot insole sensors. The experimental evaluation of the proposed algorithm is achieved in walking with the exoskeleton while carrying the external mass in the back side.

• Proceedings of the Korea Electromagnetic Engineering Society Conference
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• 2002.11a
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• pp.315-318
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• 2002

본 논문은 도플러 레이다의 원리를 이용하여 인체 호흡수 측정기술에 관하여 기술하였다. 주파수 1.59㎓ 대역의 전자파를 이용한 인체 호흡수 측정의 역사적 배경과 함께 자세한 측정원리 및 방법을 제시하였다. 인체의 흉곽 운동에 의해 반사된 신호의 도플러 주파수 차이만큼의 변이량을 오실로스코프 상에서 단위시간 당 호흡수를 나타내었다. 헤테로다인 방식의 시스템으로 측정하였으며, 폴디드 슬롯 안테나를 자체 제작하여 사용하였다. 이와 같은 인체 호흡수 측정기는 생명체 탐지 장치나 수면 무호흡증 측정기로 사용될 수 있으며 동작 감지 레벨을 높이면 그 적용 범위는 더욱더 늘어날 것으로 예상된다.

• The Korean Journal of Nuclear Medicine
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• v.36 no.1
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• pp.46-52
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• 2002

Whole-body positron emission tomography (PET) imaging with 18-F deoxyglucose (FDG) is a molecular imaging modality that detects metabolic alteration in tumor cells. In various human cancers, FDG-PET shows a potential clinical benefit in screening, tumor characterization, staging, therapeutic follow-up and detecting recurrence. In gynecologic cancers, FDG-PET is also known to be effective in characterization of adnexal masses, detection of recurrence, and lymph node invasion. This review discusses the clinical feasibility and future clinical application of this imaging modality in patients with cervical cancer, ovarian cancer, and other gynecologic cancers.

• The KIPS Transactions:PartA
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• v.13A no.4 s.101
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• pp.371-380
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• 2006

This paper utilizing model picture of finished clothes in fashion design field various material (textile fabrics) doing Draping directly can invent new design, and do not produce direction sample or poetic theme width and confirm clothes work to simulation. Also, construct database about model and material image and embodied system that can confirm Mapping result by real time. And propose clothes simulation system to dress to 3D human body model of imagination because using several cloth pieces first by process to do so that can do simulation dressing abstracted poetic theme width to 3D model here. Proposed system creates 3D model who put clothes by physical simulation that do fetters to mass-spring model after read 3D human body model file and 2D foundation pattern file. System of this treatise examines collision between triangle that compose human body model for realistic simulation and triangle that compose clothes and achieved reaction processing. Because number of triangle to compose human body is very much, this collision examination and reaction processing need much times. To solve this problem, treatise that see could create realistic picture by method to diminish collision public prosecutor and reaction processing number, and could dress clothes to imagination human body model within water plant taking advantage of Octree space sharing techniques.