• Title/Summary/Keyword: 손너비

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Visual discomfort in stereoscopic images caused by the horizontal size of binocular visual stimulus (양안식 시각자극의 너비에 의한 시각적 불편함)

  • Lee, Seong-Il;Jung, Yong Ju;Sohn, Hosik;Ro, Yong Man
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2012.11a
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    • pp.42-43
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    • 2012
  • 최근 양안식 3D 디스플레이의 시청 안정성 문제가 대두됨에 따라, 어떠한 요인들이 시각피로와 시각적 불편함을 야기하는지 밝히는 연구의 필요성이 증가하고 있다. 시각적 불편함은 양안식 3D 영상에서 과도한 양안 시차, 양안 시차의 빠른 변화, 양안 불일치 등에 의해 야기될 수 있다. 그러나 시각적 불편함은 시각시스템의 복잡한 메커니즘에 의한 결과이므로 알려진 양안 시차 등의 요인 외에도 밝혀지지 않은 요인들이 더 존재할 수 있다. 본 논문은 기존 연구로부터 시각적 불편함과 관련 있을 것으로 추정되는 요인으로 시각자극의 너비와 시각적 불편함에 대한 민감도를 선택하였다. 이들의 영향을 밝히기 위한 실험으로서, 편안한 양안 시차 범위 내에서 시각자극의 너비와 시각적 불편함에 대한 민감도에 따라 양안 융합 시간이 어떻게 달라지는지를 관찰하였다. 실험 결과로부터 편안한 양안 시차 범위 내에서도 시각자극의 너비와 시각적 불편함에 대한 민감도에 따라 양안 융합 시간이 크게 달라짐을 확인할 수 있었다. 이러한 결과들은 시각자극의 너비가 주요한 시각적 불편함의 3D 콘텐츠 요인이 될 수 있음을 암시한다.

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A Morphological Study of Hand and Foot according to the Sasang Constitution (사상인(四象人) 수족(手足)의 형태학적(形態學的) 특징(特徵))

  • Park, Eun-kyung;Park, Seong-sik
    • Journal of Sasang Constitutional Medicine
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    • v.11 no.2
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    • pp.195-207
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    • 1999
  • 1. PURPOSE This research is a study on constitutional diagnosis through the external appearances, and for finding shape differences of the hand and foot according to the Sasang Constitution. 2. Method We collected 148 person who were healthy and measured length, breadth, circumference and thickness of their hands and feet with 'The Measurement of R. Martin'. We analyzed shape differences of hand and foot according to the Sasang Constitution and made a certain conclusion. 3. Results and Conclusions We got the morphologic characteristics of hand and foot according to the Sasang Constitution. (1) The physical characteristics. The weight is heaviest in Taeumin. (2) The morphologic characteristics of Hand. (1) The wrist circumference is longest in Taeumin. (2) The finger length / hand length(ratio) is higher Soeumin than Taeumin. (3) The wrist breadth is largest in Taeumin(only male). (4) The wrist breadth is larger Taeumin than Soeumin(only female). (5) The palm length is longer Taeumin than Soyangin(only male). (6) The maximum hand breadth is larger Taeumin than Soeumi (only male). (7) The 2nd, 3rd and 4th finger length is longer Soeumin than Soyangin(only male). (3) The morphologic characteristics of Foot. (1) The foot thickness is thickest in Taeumin. (2) The foot breadth is largest in Taeumin. (3) The ankle circumference is longest in Taeumin(only male).

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Classification of Hand Types for the Development of Glove Patterns (장갑 패턴 개발을 위한 손의 유형 분류)

  • Lim, Ji-Young
    • Journal of the Korean Home Economics Association
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    • v.43 no.8 s.210
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    • pp.115-122
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    • 2005
  • The hand performs functions such as grabbing and other movements. In order to accomplish these movements in various kinds of operational environments, appropriate gloves must be worn to protect your hands. Choosing the appropriate type of glove is very important when wearing gloves in these types of operational environments. The reasons one wears gloves varies depending on age and gender. Unmarried women in their early twenties, for example, occasionally wear gloves for decoration rather than for functional reasons. However, previous studies examined a range of topics, and as such investigations dealing with specific body shape and demands of consumer are needed. Therefore in this study, the hands of unmarried women ranging in age from 20 to 24 were measured and hand shape types were analyzed in order to present basal data which can be used to help design improved glove patterns and produce appropriate, functional gloves. A total of 261 Korean women were measured. Fifty-seven right hand dimensions were measured and five dimensions from both hands were measured. Six factors were identified through factor analysis and those factors constituted $73.259\%$ of total variance. Two clusters of hand shapes were categorized using 6 factor scores by cluster analysis. Type 1 hand shape is defined as long hands with small width, girth, and thickness, long and thin fingers, and high vertical palm height. Type 2 hand shape is defined as short hands with large width, girth and thickness, short fingers, thick knuckles, and short vertical palm height. The characteristics of type 1 and 2 hand shapes are similar to women's hand type classification results from previous reports, but there was a significant difference in subject distribution by type. Therefore, standard data on hand shapes should be produced by developing measuring instruments and selling more accurate standard measuring points. By doing this it could help in the development of improved glove patterns, and also aid in planning production based on hand type.

A study of maximum grip strength on the squatted postures (쪼그려 앉은 자세에서의 최대 악력에 관한 연구)

  • Kim, Dae-Sung;Kim, Jong-In;Yang, Sung-Hwan;Park, Beom
    • Proceedings of the ESK Conference
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    • 1997.10a
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    • pp.23-30
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    • 1997
  • 근골격계 질환은 부적절한 작업 자세, 중량물의 무리한 취급, 과도한 작업 부하 등과 같은 작업 환경 에서 기인한다. 현장의 대부분의 공구사용작업에 있어서, 쪼그려앉아서 작업하는 경우가 매우 빈번하게 발생한다. 본 연구에서는 쪼그려 앉은자세에서 사용하는 공구를 설계하는데 필요 요소인 악력의 최대치 를 조사하는 것을 목적으로 한다. 23세-29세의 남자 8명을 피실험자로 실험하였다. 실험모델로는 쪼그려 앉기에서 1) 0 .deg. 외전된 어깨와 정위치의 손목에서 어깨 굴곡이 180 .deg. , 135 .deg., 90 .deg. 와 45 .deg. 의 조합된 자세에서의 악력, 2) 0 .deg. 외전된 어깨와 정위치의 손목에서 팔꿈치 굴곡이 135 .deg. , 90 .deg. 와 45 .deg. 조합된 자세에서의 악력을 조사하였다. 조사결과 쪼그려 앉은 자세에서 어깨굴곡이 45 .deg. 인 자세에서 최대의 악력이 발휘되는 것으로 나타났으며, 인체부위 중에서 손너비, 손목둘레, 팔길이, 손두께, 팔꿈치-손목까지의 길이 등이 쪼그려 앉은자세와 깊은 상관관계가 있는 것으로 나타났다.

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Hand Biometric Information Recognition System of Mobile Phone Image for Mobile Security (모바일 보안을 위한 모바일 폰 영상의 손 생체 정보 인식 시스템)

  • Hong, Kyungho;Jung, Eunhwa
    • Journal of Digital Convergence
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    • v.12 no.4
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    • pp.319-326
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    • 2014
  • According to the increasing mobile security users who have experienced authentication failure by forgetting passwords, user names, or a response to a knowledge-based question have preference for biological information such as hand geometry, fingerprints, voice in personal identification and authentication. Therefore biometric verification of personal identification and authentication for mobile security provides assurance to both the customer and the seller in the internet. Our study focuses on human hand biometric information recognition system for personal identification and personal Authentication, including its shape, palm features and the lengths and widths of the fingers taken from mobile phone photographs such as iPhone4 and galaxy s2. Our hand biometric information recognition system consists of six steps processing: image acquisition, preprocessing, removing noises, extracting standard hand feature extraction, individual feature pattern extraction, hand biometric information recognition for personal identification and authentication from input images. The validity of the proposed system from mobile phone image is demonstrated through 93.5% of the sucessful recognition rate for 250 experimental data of hand shape images and palm information images from 50 subjects.

Palm Area Detection by Maximum Hand Width (손 최장너비 기반 손바닥 영역 검출)

  • Choi, Eun Chang;Kim, Jun Yeon;Lee, Jae Won;Lim, Jong Gwan
    • The Journal of the Korea Contents Association
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    • v.18 no.4
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    • pp.398-405
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    • 2018
  • In the HCI, hand gesture recognition is attracting attention as a method for interaction and information exchange between users and devices along with the development of IT devices. In hand gesture recognition through image processing, palm region detection is a key process contributing to improvement of processing speed and recognition rate. In this paper, we propose a new method for image segmentation between the hand and wrist for palm area detection. The anatomical characteristics of the hand are used to calculate the distance between the iliac bones of the thumb and little finger, which have the widest width, by the horizontal projection histogram of the hand image, and then the palm area is detected by drawing a circle having the width as the diameter. In order to verify the superiority of this method, multiple stage template matching is used to compare and evaluate recognition performance against the four conventional methods for 10 hand gestures. Note that the literatures to offer palm area detection performance evaluation are few although there are many studies on hand gesture recognition.