• 한국멀티미디어학회논문지
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• 제8권3호
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• pp.322-327
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• 2005

본 연구에서는 인체에 대한 3차원 입체 정보를 포함하는 레이저 스트라이프 신호를 분석하여 인체를 인식 할 수 있는 한 방법을 제안하였다. 레이저 스트라이프 신호를 투시한 영상은 3차원 정보를 가지고 있으며 특히 사람에게 투사된 레이저 스트라이프 신호를 분석하여 사람의 특성을 나타내는 패턴 파형이 있음을 확인하였다. 그리하여 본 연구에서는 이 특징 파형을 푸리에 서술자를 통하여 저장한 후 사람에게 스캔한 스트라이프 신호를 입력 비교하였으며 특정 자세에 대해서 인체를 인식할 수 있음을 확인할 수 있었다. 앞으로 더욱 다양한 자세에 대한 특징 패턴을 분석하여 복잡한 인체의 모습을 인식할 수 있으리라 기대한다.

• 정보처리학회논문지B
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• 제18B권5호
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• pp.305-314
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• 2011

사람의 의도를 인지하기 위해 감정을 시각적으로 인식하는 연구는 전통적으로 감정을 드러내는 얼굴 표정을 인식하는 데 집중해 왔다. 최근에는 감정을 드러내는 신체 언어 즉 신체 행동과 자세를 통해 감정을 나타내는 방법에서 감정 인식의 새로운 가능성을 찾고 있다. 본 연구는 신경생리학의 시각계 처리 방법을 적용한 신경모델을 구축하여 행동에서 기본 감정 의도를 인식하는 방법을 제안한다. 이를 위해 시각 피질의 정보 처리 모델에 따라 생물학적 체계의 신경모델 검출기를 구축하여 신체 행동의 정적 자세에서 6가지 주요 기본 감정을 판별한다. 파라미터 변화에 강건한 제안 모델의 성능은 신체행동 자세 집합을 대상으로 사람 관측자와의 평가 결과를 비교 평가하여 가능성을 제시한다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.1202-1205
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• 2005

This paper describes a method for vision-based person identification that can detect, track, and recognize person from video using multiple cues: height and dressing colors. The method does not require constrained target's pose or fully frontal face image to identify the person. First, the system, which is connected to a pan-tilt-zoom camera, detects target using motion detection and human cardboard model. The system keeps tracking the moving target while it is trying to identify whether it is a human and identify who it is among the registered persons in the database. To segment the moving target from the background scene, we employ a version of background subtraction technique and some spatial filtering. Once the target is segmented, we then align the target with the generic human cardboard model to verify whether the detected target is a human. If the target is identified as a human, the card board model is also used to segment the body parts to obtain some salient features such as head, torso, and legs. The whole body silhouette is also analyzed to obtain the target's shape information such as height and slimness. We then use these multiple cues (at present, we uses shirt color, trousers color, and body height) to recognize the target using a supervised self-organization process. We preliminary tested the system on a set of 5 subjects with multiple clothes. The recognition rate is 100% if the person is wearing the clothes that were learned before. In case a person wears new dresses the system fail to identify. This means height is not enough to classify persons. We plan to extend the work by adding more cues such as skin color, and face recognition by utilizing the zoom capability of the camera to obtain high resolution view of face; then, evaluate the system with more subjects.

• 패션비즈니스
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• 제16권6호
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• pp.1-20
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• 2012

This study aims to define the influences of an individual's talent types and body consciousness factors on high((intense)-level appearance management behavior in 367 adults(female 172 and male 195). The present study is the first to consider both human talent type and the body consciousness on the high level-appearance management behavior correlates to appearance management behaviour. According to the result of the analysis, plastic surgery on body forms or faces are done by few people. However, straightening teeth, ear piercing, removal of spots or imperfections, and eyebrow tattoos are conducted by many consumers without much resistance. It is rather widely accepted, despite the fact that it can cause pain, discomfort, and side-effects. Furthermore, although excessive acts such as muscle training, dieting, weight managing, and oriental treatments can lead to side-effects, the standardized efficient beta value turned out to be high for these treatments. Thus, this study suggests that both the interpersonal talent among 8 talent factors and 2 body consciousness factors contributes to the reinforcement of the self-identity through high level-appearance management behaviors, but except risky plastic surgery. Therefore, this study supports the previous researches that body consciousness composed of self-source, which is desires and efforts to achieve the ideal body, and external-source, which is the internalization of other people's feedbacks.

• 센서학회지
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• 제26권5호
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• pp.301-305
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• 2017

This paper presents a wearable human health-monitoring band. The band consists of a body temperature detector (BTD) and a hear rate detector (HRD). The BTD and HRD are realized using an inkjet-printed flexible temperature sensor and a commercial heart rate sensor module, respectively. The sensitivity of the fabricated BTD was found to be $-31/^{\circ}C$ with a linearity of 99.82%. The HRD using the commercial heart rate sensor module has a good performance with a standard deviation of 0.85 between the data of a commercial smart watch and the fabricated HRD.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2000년도 ITC-CSCC -2
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• pp.923-926
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• 2000

This paper concerned with the patterns of foot-floor contact and electromyography activities of the lower extremity of the body during the termination of human gait. The termination of human gait is defined as the transition from a steady-state gait to a quiet standing posture. The transition between these two states has not been extensively studied and defined. There appears to be a critical period in the gait cycle that the decision to terminate gait or continue to take an additional step must be made.

• 전자공학회논문지
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• 제53권5호
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• pp.163-167
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• 2016

본 논문은 밀리미터파 라디오미터를 이용한 의료응용의 한 분야인 인체 내부의 밝기온도 측정에 관한 연구이다. 밀리미터파 대역 중에서 Ka - band의 주파수 영역에서 동작하는 렌즈, 직접 검출 수신기, 캘리브레이션 소스 등을 설계 제작하여 라디오미터 시스템을 구성하였다. 밀리미터파 렌즈 초점에 수신안테나를 스캔하는 방식을 통하여 미약한 신호를 수신하였으며, 렌즈 수차를 감소시키기 위해 광선 추적 방법을 사용하여 비구면 렌즈를 설계 하였다. 직접 검출 수신기는 Dicke 타입 수신기 형태로 설계되었으며, 제작된 수신기의 잡음지수는 3.3 dB, 온도감도는 0.1 K으로 측정되었다. 라디오미터의 수신기 교정은 밀리미터파 대역에서 사용가능한 새로운 형태의 블랙바디(Black body)를 제작하여 물체의 등가 잡음온도와 출력전압의 관계를 도출하였다. 제작된 시스템을 이용하여 1.7 m 거리에서 인체의 상반신을 측정하여 약 $38^{\circ}$[C]의 밝기온도를 측정하였다. 적외선 영상과 라디오미터 영상의 비교를 통해 상반신의 밝기온도 영상을 통하여 밀리미터파 라디오미터의 의료응용 가능성을 제시하였다.

• 대한인간공학회지
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• 제32권4호
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• pp.309-319
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• 2013

Objective: The aim of this study is to review and summarize human vibration measurement process, and necessity and methods of frequency weightings for human vibration. Background: Prolonged human exposure to hand-arm vibration and whole-body vibration can result in a range of adverse conditions and the development of occupational diseases such as vibration white finger. For preventing these adverse effects, it is important to correctly apply human vibration measurement process. Method: This manuscript was based on the review and summary of mechanical and human vibration relevant texts, academic papers, materials obtained through web surfing. Results: This manuscript summarizes human vibration measurement process described in ISO standards and relevant texts. The sensitivity of the human body to mechanical vibration is known to be dependent on both the frequency and direction of vibration. To take this into account, varying frequency weighting functions have been developed, and RMS frequency-weighted accelerations are used as the most important quantity to evaluate the effects of vibration on health. ISO provided nine frequency weighting functions in the form of curves and tables. Researches on frequency weightings are focused on development and validation of new frequency weightings to truly reflect the relationship between vibration exposure and its adverse effects. Application: This would be useful information for systematically applying human vibration measurement and analysis process, and for selecting appropriate frequency weighting functions.

• 한국멀티미디어학회논문지
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• 제21권4호
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• pp.478-484
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• 2018

The choice of the motion features influences the result of the human action recognition method directly. Many factors often influence the single feature differently, such as appearance of the human body, environment and video camera. So the accuracy of action recognition is restricted. On the bases of studying the representation and recognition of human actions, and giving fully consideration to the advantages and disadvantages of different features, the Dense Trajectories(DT) algorithm is a very classic algorithm in the field of behavior recognition feature extraction, but there are some defects in the use of optical flow images. In this paper, we will use the improved Dense Trajectories(iDT) algorithm to optimize and extract the optical flow features in the movement of human action, then we will combined with Support Vector Machine methods to identify human behavior, and use the image in the KTH database for training and testing.

• 한국생활과학회지
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• 제18권3호
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• pp.729-740
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• 2009

This study is to research on the rate of expansion or contraction according to movement of the lower body of the man their twenties using Rapid Form software. And aim of this study is to get information of ease allowance in developing slacks pattern using 3D body surface scan data through comparison with existing slacks patterns. Considering on the contraction and expansion according to movement, it need to set the more ease allowance in hip circumference than waist circumference, and the more ease allowance in back hip width than front hip width in slacks. In crotch length, the length of front crotch is revealed contraction but the length of back crotch is revealed expansion. It is desirable lowering front waist line and raising back waist line to possess ease allowance in back crotch area. The length of side seam is revealed a little expansion but the length of inseam is showed a great expansion. To develop slacks pattern of scientific approach using 3D body surface scan data, it need to analysis the rate of expansion and contraction of the lower body based on the movement, shear deformation, slip in fabrics and skin, or in fabrics and fabrics, and slip down from waist line.