• Title/Summary/Keyword: Human Body Information

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Recognition of Human Body Using Fourier Descriptors and Laser Stripe Signals (푸리에 서술자와 레이저 스트라이프 신호를 사용한 인체의 인식)

  • Kwak Kyung-Sup;Seok Hyun-Tack
    • Journal of Korea Multimedia Society
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    • v.8 no.3
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    • pp.322-327
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    • 2005
  • In this paper we Propose a method that enables to recognize the laser stripe with 3dimensional information of body. Laser stripe has 3-dimensional information. We found out patterns of stripe have features of body. So we made database of it using Fourier Descriptor method and compared it with another stripe of body to recognize bodies. We could recognize standard style of body efficiently It is respected that deep research should be studied on the different style of bodies and then the other features of human will be recognized.

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A Study on Visual Perception based Emotion Recognition using Body-Activity Posture (사용자 행동 자세를 이용한 시각계 기반의 감정 인식 연구)

  • Kim, Jin-Ok
    • The KIPS Transactions:PartB
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    • v.18B no.5
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    • pp.305-314
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    • 2011
  • Research into the visual perception of human emotion to recognize an intention has traditionally focused on emotions of facial expression. Recently researchers have turned to the more challenging field of emotional expressions through body posture or activity. Proposed work approaches recognition of basic emotional categories from body postures using neural model applied visual perception of neurophysiology. In keeping with information processing models of the visual cortex, this work constructs a biologically plausible hierarchy of neural detectors, which can discriminate 6 basic emotional states from static views of associated body postures of activity. The proposed model, which is tolerant to parameter variations, presents its possibility by evaluating against human test subjects on a set of body postures of activities.

Automatic Person Identification using Multiple Cues

  • Swangpol, Danuwat;Chalidabhongse, Thanarat
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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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.

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The Effects of Talent Type and Body Consciousness on High level-Appearance Management Behavior

  • Koo, Insook
    • Journal of Fashion Business
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    • v.16 no.6
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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.

Wearable Human Health-monitoring Band using Inkjet-printed Flexible Temperature Sensor

  • Han, Dong Cheul;Shin, Han Jae;Yeom, Se Hyeok;Lee, Wanghoon
    • Journal of Sensor Science and Technology
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    • v.26 no.5
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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.

Patterns of Foot-Floor Contact and Electromyography Activity during Termination of Human Gait

  • Vanitchatch, Prachuab
    • Proceedings of the IEEK Conference
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    • 2000.07b
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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.

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Study on the Brightness Temperature Measurement in the Human Body Using Millimeter-wave Radiometer (밀리미터파 라디오미터를 이용한 인체의 내부 밝기온도 측정에 관한 연구)

  • Jung, Min Kyoo;Kim, Tae Hun;Nah, Seung Wook
    • Journal of the Institute of Electronics and Information Engineers
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    • v.53 no.5
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    • pp.163-167
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    • 2016
  • We have developed a millimeter-wave radiometer system for applications in the fields of medical imaging. In this paper, we introduced the brightness temperature measurement in the human body using Millimeter-wave Radiometer. Calibration of sensitivity of the radiometer system is essential to measure equivalent temperature (brightness temperature) of objects. We have developed, as a calibration source, a new type of black body for the millimeter wave region with temperature control capability. The system noise figure and temperature sensitivity of the system measured using the blackbody are 3.3 dB and 0.1 K, respectively. The brightness temperature of human body through clothes was measured to be around $38^{\circ}$[C].

Measurement and Frequency Weighting Functions for Human Vibration

  • Kee, Dohyung;Park, Hee Sok
    • Journal of the Ergonomics Society of Korea
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    • v.32 no.4
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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.

Improved DT Algorithm Based Human Action Features Detection

  • Hu, Zeyuan;Lee, Suk-Hwan;Lee, Eung-Joo
    • Journal of Korea Multimedia Society
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    • v.21 no.4
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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.

A study of the variations by motion of the Lower body Using 3D Body Surface Scan Data of a man in his early twenties (3차원 스캐너를 이용한 20대 남성의 하반신 신축량 분석)

  • Sohn, Boo-Hyun;Hong, Kyung-Hi
    • Korean Journal of Human Ecology
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    • v.18 no.3
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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.