• Title/Summary/Keyword: Human Action Recognition

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The Effect of Nutrition Education on the Improvement of Psychosocial Factors Related to Vegetable and Fruit Intake of Elementary School Children in Pre-Action Stages (채소와 과일섭취 증진을 위한 영양교육이 행동전단계 초등학생의 사회심리적 요인의 변화에 미치는 효과)

  • Suh, Yoon-Suk;Chung, Young-Jin
    • Journal of Nutrition and Health
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    • v.43 no.6
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    • pp.597-606
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    • 2010
  • This study investigates the change of level of psychosocial factors of decisional balance, processes of change, and self-efficacy after nutrition education on vegetable and fruit intake of children in pre-action stages. Forty-seven 5th grade elementary school children in Yeongi-Gun, Chungnam-Do were categorized into pre-action stages from a total of 71 children by four-stage questions, and then finally into two stages of precontemplation and contemplation & preparation. After 6 weeks nutrition education, recognition of both of pros and cons of vegetable intake were improved in the two groups of precontemplation and contemplation & preparation. In fruits intake, however, recognition of pros was not changed after nutrition education in either stage, but recognition of cons was improved only in the precontemplation stage. However, no difference in any psychosocial variables was found between precontemplation stage and contemplation & preparation stage. After the nutrition education, the score of consciousness raising of vegetable intake belonging to cognitive process of change increased in the subjects of the precontemplation stage, wheres the scores of dramatic relief, self-reevaluation, environment reevaluation and social liberation increased in the group of contemplation & preparation. In fruit intake, however, no change was found except in the environment reevaluation in the precontemplation group. The behavioral process of change of vegetable and fruit intake did not show any change in either group after nutrition education. Self-efficacy scores of vegetable intake of keeping the foods at hand, eating the recommended number of servings and making time to eat increased in the precontemplation group, while in the contemplation & preparation group, self efficacy scores of shopping for a variety of vegetables, instead of keeping the foods at hands, as well as the scores of the rest two items of eating the recommended number of servings and making time to eat increased after nutrition education. However, in case of fruits intake, no difference was shown in the precontemplation stage except an item of keeping the foods at hand. The results indicated that the stage of change was progressed in the pre-action stage after nutrition education and the scores of many psychosocial factors increased in both pre-action stages. It is suggested that the recognition of cons as well as the cognitive process of change and self-efficacy could be best used as indicators of the assessment of nutrition education program for vegetable intake.

The Chinese Characters Learning Contents Based on Gesture Recognition Using HMM Algorithm (HMM을 이용한 제스처 인식 기반 한자 학습 콘텐츠)

  • Song, Dae-Hyeon;Kim, Dong-Min;Lee, Chil-Woo
    • Journal of Korea Multimedia Society
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    • v.15 no.8
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    • pp.1067-1074
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    • 2012
  • In this paper, we proposed a contents of Chinese characters learning based on gesture recognition using HMM(hidden markov model) algorithm. Input image of the system is obtained in 3-dimensional information from the TOF camera, and the method of gesture recognition is consisted of part of forecasting user's posture in two infrared images and part of recognizing gestures from continuous poses. In the communication between human and computer, this system provided convenience that user can manipulate it easily by not using any further equipment but action. Because this system raise immersion and interest by using two large display and various multimedia factor, it can maximize information transmission. The edutainment Chinese character contents proposed in this paper provide educational effect that use can master Chinese character naturally with interest, and it can be expected a synergy effect via content experience because it is based on gesture recognition.

Recent Trends in Human Pose Estimation Based on a Single Image (단일 이미지에 기반을 둔 사람의 포즈 추정에 대한 연구 동향)

  • Cho, Jungchan
    • The Journal of Korean Institute of Next Generation Computing
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    • v.15 no.5
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    • pp.31-42
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    • 2019
  • With the recent development of deep learning technology, remarkable achievements have been made in many research areas of computer vision. Deep learning has also made dramatic improvement in two-dimensional or three-dimensional human pose estimation based on a single image, and many researchers have been expanding the scope of this problem. The human pose estimation is one of the most important research fields because there are various applications, especially it is a key factor in understanding the behavior, state, and intention of people in image or video analysis. Based on this background, this paper surveys research trends in estimating human poses based on a single image. Because there are various research results for robust and accurate human pose estimation, this paper introduces them in two separated subsections: 2D human pose estimation and 3D human pose estimation. Moreover, this paper summarizes famous data sets used in this field and introduces various studies which utilize human poses to solve their own problem.

Human Goal in Advaita Vedānta (아드와이따 베단따와 인간의 목표)

  • Park, Hyo-yeop
    • Journal of Korean Philosophical Society
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    • v.130
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    • pp.109-134
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    • 2014
  • In (Advaita) $Ved{\bar{a}}nta$ although human beings are destined to have a pessimistic starting point in life, their goal of life is to become a Perfect Being which is called 'Liberation' (mokṣa) by self-transcendence. This human goal together with several means are accepted by $Ved{\bar{a}}nta$ as solely valuable thing in the life. In this way there must be a self-recognition of his own value in the process of Liberation, through which one recognizes his own true nature i.e. ${\bar{A}}tman$. ${\bar{A}}tman$ is clearly defined to be 'Existence, Consciousness, Bliss' (Being, Illumination, Good), and this definition is made with the view of revealing that It is ultimate foundation and source of human beings ontologically, epistemologically and axiologically. However, as $Ved{\bar{a}}ntic$points of view on human goal are not without critical limitations, it may be necessary to revaluate 'the process of self-inquiry' devised to achieve human goal. Inquiry is, first of all, an accepting process of what is given in $Ved{\bar{a}}nta$ as the scenario that gives rise to most actual result, then, a performing and verifying process of that scenario in one's own experience consistently. In this process, a shift of action from worldly life to unworldly life is what is called 'self-adjustment', a removal of 'the self in excess' through knowledge of the real Self is what is called 'simplification of the self', and at the end of simplification a state of ultimate Self is 'Liberation'. Therefore, the inquiry of $Ved{\bar{a}}nta$ into human goal can be summarized as following formula; 'good action = self-adjustment' ${\rightarrow}$ 'good knowledge = simplification of the self' ${\rightarrow}$ 'Liberation = ultimate Self'.

The Effects of Job-Seeking Stress, Appearance Recognition, Financial Distress, Trust in Government, and Locus of Control on University Students' Happiness (취업스트레스, 외모인식, 재무스트레스, 정부신뢰도, 내외통제성이 대학생의 행복에 미치는 영향)

  • Kim, Min-Koo;Lee, Gyoung-Gun;Lee, Suk-Yong;Chun, Jun-Ha;Han, Yong-Hee
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.40 no.4
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    • pp.171-182
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    • 2017
  • Most people seek a happy life and happiness positively affects sentiment, satisfaction with life, creativity, human relationship, business productivity, and even health and life extension. However, according to a survey in 2013, subjective happiness of adolescents (including university students) was very low compared to other age groups in Korea. Therefore this paper examined the effects of job-seeking stress, appearance recognition, financial situation, trust in government, and locus of control on university students' happiness using SEM (structural equation modeling). 207 university students in Seoul, Korea have been surveyed. At first, an initial experimental SEM model among these variables has been set up and reliability analysis has been conducted. Then multiple regression analyses on job-seeking stress and happiness as well as SEM analysis have been conducted. As a result of these analyses, the SEM model has been revised two times. The final SEM model passed the goodness-of-fit test (using RMR, GFI, NFI, CFI, and IFI indices). The final SEM model showed the followings. First, Higher job-seeking stress (especially sentimental part, rather than environment or action related parts) negatively affects happiness. Second, Trust in government also affects happiness both directly and indirectly. Third, Locus of control is affected both by trust in government and financial situation. Fourth, appearance recognition heavily affects job-seeking stress. In addition, appearance importance is higher than appearance interest, meaning that students who are not very interested in appearance usually recognize the importance of appearance. Finally, happiness is affected neither financial situation nor appearance recognition. Therefore, even either they are in a poor financial situation or not happy with their appearance, they can be happy if they have firm locus of control.

Joint Reasoning of Real-time Visual Risk Zone Identification and Numeric Checking for Construction Safety Management

  • Ali, Ahmed Khairadeen;Khan, Numan;Lee, Do Yeop;Park, Chansik
    • International conference on construction engineering and project management
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    • 2020.12a
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    • pp.313-322
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    • 2020
  • The recognition of the risk hazards is a vital step to effectively prevent accidents on a construction site. The advanced development in computer vision systems and the availability of the large visual database related to construction site made it possible to take quick action in the event of human error and disaster situations that may occur during management supervision. Therefore, it is necessary to analyze the risk factors that need to be managed at the construction site and review appropriate and effective technical methods for each risk factor. This research focuses on analyzing Occupational Safety and Health Agency (OSHA) related to risk zone identification rules that can be adopted by the image recognition technology and classify their risk factors depending on the effective technical method. Therefore, this research developed a pattern-oriented classification of OSHA rules that can employ a large scale of safety hazard recognition. This research uses joint reasoning of risk zone Identification and numeric input by utilizing a stereo camera integrated with an image detection algorithm such as (YOLOv3) and Pyramid Stereo Matching Network (PSMNet). The research result identifies risk zones and raises alarm if a target object enters this zone. It also determines numerical information of a target, which recognizes the length, spacing, and angle of the target. Applying image detection joint logic algorithms might leverage the speed and accuracy of hazard detection due to merging more than one factor to prevent accidents in the job site.

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Analysis of the Relationship between Human Risk Factors and Evacuation Behavior for Tunnel Safety (터널안전에 대한 인적위험 요소와 대피행동 간의 관계분석)

  • Baek, Chung-Hyun;Park, Sea-Man;Choi, Byong-Jeong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.7
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    • pp.535-546
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    • 2019
  • The purpose of this research was to analyze the relationship between human risk factors and evacuation behavior stages for tunnel safety. Therefore, we conducted a survey using a structured questionnaire on the relationship between safety facilities and safety behavior in order to derive an optimized interaction between the two. The research subjects were 141 tunnel users who understand the tunnel environment. The survey period was from June 24, 2018, to September 28, 2018. As data analysis methods, we employed a frequency analysis, a multiple regression analysis, and an independent-sample t-test. In the analysis of the correlation between the human risk factors and the major variables of evacuation behavior, the evacuation phases 1, 2, and 3 were all correlated with acceleration and delay, and the human risk factors were partially correlated. In the multiple regression analysis, the will to comply with laws (${\beta}=0.188$, p=0.034) and information recognition within the tunnel (${\beta}=0.220$, p=0.009) were factors that influence the relationship between human risk factors and evacuation behavior, indicating 12% explanatory power of the impact of human risk factors for the acceleration of evacuation behavior 3. The important variables between human risk factors and evacuation behavior were compliance with laws and information recognition in tunnels. Hence, it is necessary to study the elements that interact with the environment in the tunnel.

Theory Construction in Nursing of Uncertainty (불확실성의 간호이론 구성)

  • Oh, Hyun-Sook
    • Korean Journal of Adult Nursing
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    • v.13 no.2
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    • pp.200-208
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    • 2001
  • The purpose of this study was to understand the nature and structure of "uncertainty of chronically ill patients" by explaining it more scientifically. This study is based on the unique experiences, which individual uncertainty experiences differ from others. In this sense, Q-methodology which includes self-psychology and abductive logics is applied to the study. The results indicate that there are six types of uncertainty of chronically ill patients : my own fault, self-esteem loss, self-care determination, cure-doubt, reality-restructure, and past-tenacity reality-absence. Thus, "uncertainty of chronically ill patients" is defined from the study as the process in which continuous transition and evaluation of possibility cause changes in human recognition, attitude, action, etc.. The significance of the study is threefold : (1) discovery of six types of uncertainty of chronically ill patients in Korean people, (2) the better understanding of "uncertainty of chronically ill patients", (3) possible developments of nursing concept and assessment and intervention technique based on the new dimension of the understanding in uncertainty for nursing of chronically ill patients from this research.

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Human action recognition using HOOF and Random Forest (HOOF와 Random Forest를 이용한 휴먼 행동 인식)

  • Hong, June-Hyoek;Ko, Byoung-Chul;Nam, Jae-Yeal
    • Proceedings of the Korean Information Science Society Conference
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    • 2012.06b
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    • pp.450-452
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    • 2012
  • 본 논문에서는 CCD 카메라에 입력된 동영상에서 Random Forest를 이용하여 휴먼 행동을 인식하는 알고리즘을 제안한다. 행동 인식을 위한 특징 벡터 추출을 위해 가장 최근의 N개의 비디오 프레임들을 하나의 액션 볼륨으로 생성하고, 액션 볼륨 내에서 객체 트랙킹 된 영역을 서브 볼륨으로 생성한다. 이후 서브불륨을 $N{\times}N$개의 블록으로 나누고 각 블록에서 HOOF (Histogram of oriented optical flow)를 특징 벡터로 추출한다. 각 휴먼의 행동인식을 위해 사용된 Random Forest 분류기는 걷기, 뛰기, 발차기, 주먹질, 앉기, 쓰러지기, 넘어지기 7개의 행동을 나타내는 클래스로 분류하도록 학습되었으며 Random Forest에 의한 분류결과에 따라 어떤 행동을 취하는지 최종 판단한다.

Comparison of Local and Global Features for Sparse Representation-based Human Action Recognition (Sparse Representation 기반의 인간행동인식에 대한 지역특징과 전역특징 비교)

  • Hwang, Jung-Hyon;Min, Hyun-seok;Ro, Yong Man
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2013.11a
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    • pp.246-247
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    • 2013
  • 인간행동의 자동인식 기술은 영상보안 및 인간-사물 상호작용 분야에 핵심적 기술이다. 그러나 실제 비디오 환경에서는 인간 행동의 다양성 및 잡음 등 많은 제한점들로 인해 효과적인 행동인식에 어려움이 있다. 최근 이러한 문제점을 해결하기 위하여 많은 영상 처리 및 인식 분야에서 연구되고 있는 sparse representation 기반의 방법들이 제시되고 있다. 이에 본 논문에서는 효과적으로 sparse representation을 행동인식에 적용하고, sparse representation 기반 인간행동인식을 위해 사용되는 지역특징 및 전역특징에 대하여 비교했다.

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