• Title/Summary/Keyword: body image recognition

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Gesture Recognition using Training-effect on image sequences (연속 영상에서 학습 효과를 이용한 제스처 인식)

  • 이현주;이칠우
    • Proceedings of the IEEK Conference
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    • 2000.06d
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    • pp.222-225
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    • 2000
  • Human frequently communicate non-linguistic information with gesture. So, we must develop efficient and fast gesture recognition algorithms for more natural human-computer interaction. However, it is difficult to recognize gesture automatically because human's body is three dimensional object with very complex structure. In this paper, we suggest a method which is able to detect key frames and frame changes, and to classify image sequence into some gesture groups. Gesture is classifiable according to moving part of body. First, we detect some frames that motion areas are changed abruptly and save those frames as key frames, and then use the frames to classify sequences. We symbolize each image of classified sequence using Principal Component Analysis(PCA) and clustering algorithm since it is better to use fewer components for representation of gestures. Symbols are used as the input symbols for the Hidden Markov Model(HMM) and recognized as a gesture with probability calculation.

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A Study on Dietary Related Factors and Blood Parameters of Obese Children Residing in Samcheok (삼척지역 일부 중등도 이상 비만 아동의 식생활관련 요인과 혈액성상에 관한 연구)

  • Lee, Jae-Cheol;Kim, Mi-Hyeon
    • Journal of the Korean Dietetic Association
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    • v.11 no.2
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    • pp.190-204
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    • 2005
  • The purpose of this study was to investigate the dietary related factors and blood parameters of moderately or severely obese children residing in Samcheok. Anthropometric measurement, 24-hour recall for dietary intake, blood analysis and questionnaire response including nutritional knowledge, nutritional attitude, body image recognition and eating habits were conducted in 23 obese children(16 boys and 7 girls) and their mother. The mean age of subjects are 10.0 years. The average body weight, BMI, obesity index and percent body fat were 57.5㎏, 27.0㎏/$m^2$, 47.3 and 38.1% in boys and 51.0㎏, 24.8㎏/$m^2$, 40.3 and 43.9% in girls. The average nutritional attitude, the self-satisfaction and the nutritional knowledge scores in subjects were 29.9/40, 32.7/50 and 7.3/10, respectively. 34.8% of the subjects were unsatisfied with their body image, whereas, 81.8% of their mothers were unsatisfied with children’s body image. 60.9% of subjects had one or both obese parents. Average intake of energy were 90.6% of RDA in boys and 84.3% of RDA in girls. The ratio of energy from carbohydrate/protein/fat were 66/16/18 in boys and 66/17/17 in girls. The mean serum cholesterol concentration of the subjects was 191.8mg/dl and 78.3% of the subjects were above the normal serum cholesterol rage of children. In the results of correlation analysis, obesity index was negatively correlated with self and mother’s nutritional attitude scores. Body weight and BMI were positively correlated with vitamin C(p<0.05) and fruits(p<0.05) intakes. And there was a positive correlation between obesity index and BMI, and serum cholesterol(p<0.05).

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Depth Image Poselets via Body Part-based Pose and Gesture Recognition (신체 부분 포즈를 이용한 깊이 영상 포즈렛과 제스처 인식)

  • Park, Jae Wan;Lee, Chil Woo
    • Smart Media Journal
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    • v.5 no.2
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    • pp.15-23
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    • 2016
  • In this paper we propose the depth-poselets using body-part-poses and also propose the method to recognize the gesture. Since the gestures are composed of sequential poses, in order to recognize a gesture, it should emphasize to obtain the time series pose. Because of distortion and high degree of freedom, it is difficult to recognize pose correctly. So, in this paper we used partial pose for obtaining a feature of the pose correctly without full-body-pose. In this paper, we define the 16 gestures, a depth image using a learning image was generated based on the defined gestures. The depth poselets that were proposed in this paper consists of principal three-dimensional coordinates of the depth image and its depth image of the body part. In the training process after receiving the input defined gesture by using a depth camera in order to train the gesture, the depth poselets were generated by obtaining 3D joint coordinates. And part-gesture HMM were constructed using the depth poselets. In the testing process after receiving the input test image by using a depth camera in order to test, it extracts foreground and extracts the body part of the input image by comparing depth poselets. And we check part gestures for recognizing gesture by using result of applying HMM. We can recognize the gestures efficiently by using HMM, and the recognition rates could be confirmed about 89%.

Creativity Theory of Body Movement and Analysis of Creativity Factor (신체움직임의 창의성 이론과 요인분석)

  • Ahn, Byoung-Soon
    • The Journal of the Korea Contents Association
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    • v.13 no.12
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    • pp.672-679
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    • 2013
  • Creativity is the thinking ability and the expression of new image by imagination as a problem recognition and way of solution. This study aims to search for the creativity theory of body movement and to analyze the creativity factor. According to the study, the creativity of body movement needs four steps: movement awareness, movement design, movement discovery and movement use. The use of new image through self-perception and self concept brings about a creative improvement in the problem recognition and its resolution function. In conclusion, the creativity of body movement means the infinity of body movement as 'the third energy' and 'the flexibility of flow' by interaction.

Development of Driver's Safety/Danger Status Cognitive Assistance System Based on Deep Learning (딥러닝 기반의 운전자의 안전/위험 상태 인지 시스템 개발)

  • Miao, Xu;Lee, Hyun-Soon;Kang, Bo-Yeong
    • The Journal of Korea Robotics Society
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    • v.13 no.1
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    • pp.38-44
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    • 2018
  • In this paper, we propose Intelligent Driver Assistance System (I-DAS) for driver safety. The proposed system recognizes safety and danger status by analyzing blind spots that the driver cannot see because of a large angle of head movement from the front. Most studies use image pre-processing such as face detection for collecting information about the driver's head movement. This not only increases the computational complexity of the system, but also decreases the accuracy of the recognition because the image processing system dose not use the entire image of the driver's upper body while seated on the driver's seat and when the head moves at a large angle from the front. The proposed system uses a convolutional neural network to replace the face detection system and uses the entire image of the driver's upper body. Therefore, high accuracy can be maintained even when the driver performs head movement at a large angle from the frontal gaze position without image pre-processing. Experimental result shows that the proposed system can accurately recognize the dangerous conditions in the blind zone during operation and performs with 95% accuracy of recognition for five drivers.

Dietary behaviors and body image recognition of college students according to the self-rated health condition

  • Kim, Mi-Joung;Lim, Ye-Rom;Kwak, Ho-Kyung
    • Nutrition Research and Practice
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    • v.2 no.2
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    • pp.107-113
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    • 2008
  • This study was done to investigate the relationship between the perception of body image, body weight satisfaction or dietary behavior and self-rated health status in Korean college students. Subjects, 285 college students, were divided into three groups (healthy, normal, and unhealthy) according to the answer for the self-rated health question. Information about demographic status, self-rated health condition, height and weight, perception of body image, satisfaction of body weight, concern for body weight control, dietary behavior, nutritional knowledge, and health-related characteristics collected by a self-reported questionnaire. The proportion of men and women in each group was not significantly different. The academic year, major, experience of nutritional education, and type of residence were not significantly related with self-rated health but the pocket money range was significantly associated (p<0.05) with self-rated health. The proportion of subjects rated their health as unhealthy was the lowest in 210-300 thousand won pocket money range and was increased in less than 210 thousand won or over 300 thousand won pocket money ranges. There were no significant differences for age, height, weight and BMI between the groups. The body image perception and body weight satisfaction levels of healthy group was significantly higher than those of unhealthy group (p<0.01 and p<0.001, respectively), but the level of concern for body weigh1 control in healthy subjects was significantly lower than that in unhealthy subjects (p<0.05). The proportion of subjects reported as healthy was significantly increased with increased frequencies of following food behaviors; weekly use of protein foods (p<0.01), vegetables (p<0.05) and dairy products (p<0.01), and food habits such as "regularity of meal time" (p<0.01), "eating in moderation" (p<0.05), and "eating breakfast" (p<0.001). Overall results suggested that the college students have tended to have a better perception of health when they have better body image perception, body weight satisfaction and dietary behaviors.

A Study on Dietary Habits, Body Satisfaction and Nutritional Knowledge by Body Image of Middle School Girl Students in Chungbuk Area (충북 일부지역 여자 중학생의 체형 인식도에 따른 식습관, 체형 만족도 및 영양지식에 관한 연구)

  • Yeon, Jee-Young;Shin, Ki-Yong;Lee, Soon-Kyu;Lee, Hye-Young;Kang, Baeg-Won;Park, Hye-Kyung
    • Korean Journal of Community Nutrition
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    • v.18 no.5
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    • pp.442-456
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    • 2013
  • This study was performed to investigate the dietary habits, body satisfaction and nutritional knowledge according to body image of middle school girl students (n = 284). The subjects were classified as lean, normal and fat groups according to body image. The weight, body mass index (BMI) and the score of body image were significantly higher in the students who recognized their body image as 'fat'. The satisfaction of present body image was significantly lower in students who recognized their body image as 'lean'. The interest in weight control and experience of weight control were significantly higher in students who recognized their body image as 'fat'. The necessity of nutrition education was higher in all groups (lean 67.2%, normal 59.0% and fat 52.8%). The products used to feel sweetened were sweetened ice (68.7%), processed milk (68.3%), confectionery (62.3%), carbonated beverage (55.3%), fermented milk (38.0%) and none (6.0%). The frequency of consumption of fruit juices and fried food was significantly higher in 'normal' compared to 'fat'. There was no significant difference in the frequency of consumption of snack and nutritional knowledge among the three groups. In the multiple regression analysis, the score of body image was negatively associated with the frequency of snack consumption in the 'lean'. The score of body image was positively associated with identification of nutrition labels and an interest in weight control but was negatively associated with satisfaction of present body image in the 'fat'. Based on these results, we conclude that, the middle school girl students need correct recognition of body image and continuous and practical nutrition education in order to maintain healthy dietary habits.

A Study on Eating Behavior, Recognition of Body Image, Weight Control Method, Nutritional Status, and Blood Parameters of Obese Children in Iksan City (익산지역 비만 아동의 식습관, 체형 인식, 체중 조절 행동, 영양 섭취 상태와 혈액성상에 관한 연구)

  • Lee Da-Hong
    • Journal of the East Asian Society of Dietary Life
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    • v.15 no.6
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    • pp.663-674
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    • 2005
  • The factors for the childhood onset obesity were assessed to provide informations for the nutrition education program targeting the primary school children. The subjects of this study were 529 primary school children in Iksan City, Jeon-buk Province. Children were classified into obese(236) and control(293) groups by the obesity index. Anthropometric measurement dietary intake through 24-hour recall method, blood analysis and questionnaire response including nutritional knowledge and attitude, body image recognition and eating habits were conducted The mean age of subject was 12.0 years. The average body weight(p<0.001), BMI(p<0.001), and obesity index(p<0.001) in obese group were significantly different from those in control group; their values in the former were 26.5 kg/m2 and $37.7\%$ and 43.0 kg, 19.8 kg/m2 and $3.2\%$ in the latter, respectively. The average scores of self-satisfaction were significantly different in two groups (p<0.001), 31.2, and 34.1, respectively. Among the obese subjects, $60.6\%$ were unsatisfied or very unsatisfied with their body image, and $76.5\%$ had experiences of weight control and $67.5\%$ took diet control as a weight control method Among mothers of obese subjects, $89.1\%$ were unsatisfied with their children's body image. $64.4\%$ of obese subjects had obese parents. Average intake of energy were $76.7\%$ of RDA in obese group and $74.9\%$ of RDA in control group. Average intake of cereals(p<0.01), potatoes & starch(p<0.01) and eggs(p<0.01) between obese and control subjects were significantly different; 295.4g, 76.2g, 55.6g in the former and 277.9g, 38.1g, 45.6g in the latter, respectively. The mean serum triglyceride(p<0.05), GPT(p<0.05), hemoglobin(p<0.001) concentration of the obses and control subjects were significantly different; in the former, 103.6mg/dL, 24.6U/L, 13.4g/dL, and in the latter, 93.7mg/dL, 19.9U/L, 13.1g/dL, respectively, The results suggest that practical nutrition education for the prevention of childhood onset obese should be provided to primary school children.

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An Intelligent Emotion Recognition Model Using Facial and Bodily Expressions

  • Jae Kyeong Kim;Won Kuk Park;Il Young Choi
    • Asia pacific journal of information systems
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    • v.27 no.1
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    • pp.38-53
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    • 2017
  • As sensor technologies and image processing technologies make collecting information on users' behavior easy, many researchers have examined automatic emotion recognition based on facial expressions, body expressions, and tone of voice, among others. Specifically, many studies have used normal cameras in the multimodal case using facial and body expressions. Thus, previous studies used a limited number of information because normal cameras generally produce only two-dimensional images. In the present research, we propose an artificial neural network-based model using a high-definition webcam and Kinect to recognize users' emotions from facial and bodily expressions when watching a movie trailer. We validate the proposed model in a naturally occurring field environment rather than in an artificially controlled laboratory environment. The result of this research will be helpful in the wide use of emotion recognition models in advertisements, exhibitions, and interactive shows.

The Influence of the Sociocultural Attitudes towards Appearance, BMI and Body Image on Self-Esteem (자아존중감에 대한 외모의 사회문화적 태도와 신체비만도 및 신체이미지의 영향)

  • Hong Keum-Hee
    • Journal of the Korean Society of Clothing and Textiles
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    • v.30 no.2 s.150
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    • pp.348-357
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    • 2006
  • This study was designed to find out how the sociocultural attitudes toward appearance, BMI and body image of adult women affect their self-esteem. A questionnaire was prepared in the survey and a total of 456 adult women were selected by way of stratified random sampling. The research findings are as follows: 1. The sociocultural attitudes toward appearance were shown in two factors of 'internalization' and 'awareness'. The body image was shown in three dimensions of 'care for appearance', 'concern about weight', and 'appearance attractiveness'. 2. Internalization, recognition, and BMI influenced on 'care for appearance'. 'Concern about weight' was affected by internalization and BMI. Appearance attractiveness was affected only by BMI. 3. Adult women's self-esteem was influenced by appearance attractiveness, internalization, and care for appearance. 4. The behaviors of appearance management were differed according to the sociocultural attitudes towards appearance. Therefore, adult women form a higher degree of self-esteem is formed when they accept what they are regardless of their actual BMI and when they evaluate their body positively.