• Title, Summary, Keyword: Smile Recognition

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Development of a Recognition System of Smile Facial Expression for Smile Treatment Training (웃음 치료 훈련을 위한 웃음 표정 인식 시스템 개발)

  • Li, Yu-Jie;Kang, Sun-Kyung;Kim, Young-Un;Jung, Sung-Tae
    • Journal of the Korea Society of Computer and Information
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    • v.15 no.4
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    • pp.47-55
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    • 2010
  • In this paper, we proposed a recognition system of smile facial expression for smile treatment training. The proposed system detects face candidate regions by using Haar-like features from camera images. After that, it verifies if the detected face candidate region is a face or non-face by using SVM(Support Vector Machine) classification. For the detected face image, it applies illumination normalization based on histogram matching in order to minimize the effect of illumination change. In the facial expression recognition step, it computes facial feature vector by using PCA(Principal Component Analysis) and recognizes smile expression by using a multilayer perceptron artificial network. The proposed system let the user train smile expression by recognizing the user's smile expression in real-time and displaying the amount of smile expression. Experimental result show that the proposed system improve the correct recognition rate by using face region verification based on SVM and using illumination normalization based on histogram matching.

Using a Multi-Faced Technique SPFACS Video Object Design Analysis of The AAM Algorithm Applies Smile Detection (다면기법 SPFACS 영상객체를 이용한 AAM 알고리즘 적용 미소검출 설계 분석)

  • Choi, Byungkwan
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.11 no.3
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    • pp.99-112
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    • 2015
  • Digital imaging technology has advanced beyond the limits of the multimedia industry IT convergence, and to develop a complex industry, particularly in the field of object recognition, face smart-phones associated with various Application technology are being actively researched. Recently, face recognition technology is evolving into an intelligent object recognition through image recognition technology, detection technology, the detection object recognition through image recognition processing techniques applied technology is applied to the IP camera through the 3D image object recognition technology Face Recognition been actively studied. In this paper, we first look at the essential human factor, technical factors and trends about the technology of the human object recognition based SPFACS(Smile Progress Facial Action Coding System)study measures the smile detection technology recognizes multi-faceted object recognition. Study Method: 1)Human cognitive skills necessary to analyze the 3D object imaging system was designed. 2)3D object recognition, face detection parameter identification and optimal measurement method using the AAM algorithm inside the proposals and 3)Face recognition objects (Face recognition Technology) to apply the result to the recognition of the person's teeth area detecting expression recognition demonstrated by the effect of extracting the feature points.

Study of expression in virtual character of facial smile by emotion recognition (감성인식에 따른 가상 캐릭터의 미소 표정변화에 관한 연구)

  • Lee, Dong-Yeop
    • Cartoon and Animation Studies
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    • pp.383-402
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    • 2013
  • In this study, we apply the facial Facial Action Coding System for coding the muscular system anatomical approach facial expressions to be displayed in response to a change in sensitivity. To verify by applying the virtual character the Duchenne smile to the original. I extracted the Duchenne smile by inducing experiment of emotion (man 2, woman 2) and the movie theater department students trained for the experiment. Based on the expression that has been extracted, I collect the data of the facial muscles. Calculates the frequency of expression of the face and other parts of the body muscles around the mouth and lips, to be applied to the virtual character of the data. Orbicularis muscle to contract end of lips due to shrinkage of the Zygomatic Major is a upward movement, cheek goes up, the movement of the muscles, facial expressions appear the outer eyelid under the eye goes up with a look of smile. Muscle movement of large muscle and surrounding Zygomatic Major is observed together (AU9) muscles around the nose and (AU25, AU26, AU27) muscles around the mouth associated with openness. Duchen smile occurred in the form of Orbicularis Oculi and Zygomatic Major moves at the same time. Based on this, by separating the orbicularis muscle that is displayed in the form of laughter and sympathy to emotional feelings and viable large muscle by the will of the person, by applying to the character of the virtual, and expression of human I try to examine expression of the virtual character's ability to distinguish.

ASM Algorithm Applid to Image Object spFACS Study on Face Recognition (영상객체 spFACS ASM 알고리즘을 적용한 얼굴인식에 관한 연구)

  • Choi, Byungkwan
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.12 no.4
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    • pp.1-12
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    • 2016
  • Digital imaging technology has developed into a state-of-the-art IT convergence, composite industry beyond the limits of the multimedia industry, especially in the field of smart object recognition, face - Application developed various techniques have been actively studied in conjunction with the phone. Recently, face recognition technology through the object recognition technology and evolved into intelligent video detection recognition technology, image recognition technology object detection recognition process applies to skills through is applied to the IP camera, the image object recognition technology with face recognition and active research have. In this paper, we first propose the necessary technical elements of the human factor technology trends and look at the human object recognition based spFACS (Smile Progress Facial Action Coding System) for detecting smiles study plan of the image recognition technology recognizes objects. Study scheme 1). ASM algorithm. By suggesting ways to effectively evaluate psychological research skills through the image object 2). By applying the result via the face recognition object to the tooth area it is detected in accordance with the recognized facial expression recognition of a person demonstrated the effect of extracting the feature points.

Risk Situation Recognition Using Facial Expression Recognition of Fear and Surprise Expression (공포와 놀람 표정인식을 이용한 위험상황 인지)

  • Kwak, Nae-Jong;Song, Teuk Seob
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.3
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    • pp.523-528
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    • 2015
  • This paper proposes an algorithm for risk situation recognition using facial expression. The proposed method recognitions the surprise and fear expression among human's various emotional expression for recognizing risk situation. The proposed method firstly extracts the facial region from input, detects eye region and lip region from the extracted face. And then, the method applies Uniform LBP to each region, discriminates facial expression, and recognizes risk situation. The proposed method is evaluated for Cohn-Kanade database image to recognize facial expression. The DB has 6 kinds of facial expressions of human being that are basic facial expressions such as smile, sadness, surprise, anger, disgust, and fear expression. The proposed method produces good results of facial expression and discriminates risk situation well.

ASM based The Lip Line Dectection System for The Smile Expression Recognition (웃음 표정 인식을 위한 ASM 기반 입술 라인 검출 시스템)

  • Hong, Won-Chang;Park, Jin-Woong;He, Guan-Feng;Kang, Sun-Kyung;Jung, Sung-Tae
    • Proceedings of the Korea Information Processing Society Conference
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    • pp.444-446
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    • 2011
  • 본 논문은 실시간으로 카메라 영상으로부터 얼굴의 각 특징점을 검출하고, 검출된 특징점을 이용하여 웃음 표정을 인식하는 시스템을 제안한다. 제안된 시스템은 ASM(Active Shape Model)을 이용하여 실시간 검출부에서 얼굴 영상을 획득한 다음 ASM 학습부에서 학습된 결과를 가지고 얼굴의 특징을 찾는다. 얼굴 특징의 영상으로부터 입술 영역을 검출한다. 이렇게 검출된 입술 영역과 얼굴 특징점을 이용하여 사용자의 웃음 표정을 검출하고 인식하는 방법을 사용함으로써 웃음 표정 인식의 정확도를 높힐 수 있음을 알 수 있었다.

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A servey on the actual conditions & recognition of tooth bleaching in female college students (치위생과와 비치위생과 학생의 치아미백에 대한 인식도 및 실태조사)

  • Shin, Min-Woo;Ji, Min-Gyeong;Han, Myeong-Suk
    • Journal of Korean society of Dental Hygiene
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    • v.8 no.4
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    • pp.43-53
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    • 2008
  • Some female college students have to recognize and understand the actual conditions of the tooth bleaching, and effective consultation and training to provide basic data for the purpose of investigation. this study made a survey about recognize and understand the actual conditions of the tooth bleaching and oral health knowledge and generalization methods for 649 female college student in Daejeon and Jeonbuk areas during the period between March. 15 and April. 10,2008. The results were as follows: 1. Tooth Status was found low, self-discontent respondents Status 44.2% and average 31.1%, self-contentment were 14.8%. Tooth color was average respondents were 69.8%, yellow 29.0%, White 1.7% (p=0.001, p=0.030). 2. Tooth bleaching experience has not experienced the most the military was 86.4%, to the desired Tooth bleaching for the external beauty 44.2%, confidence of smile time 37.5%. self-discontent 10.7%(p=0.000, p=0.000). 3. Tooth health status satisfaction was dental hygiene students higher than non dental hygiene, and scaling knowledge of the Tooth bleaching effect was non dental hygiene higher than non dental hygiene(p=0.039, p=0.000). 4. General knowledge for Tooth bleaching was found high 96.1%, as for the recognition route, 55.6% were through broadcast medium(p=0.025, p=0.000). 5. Medical institution chosen for Tooth bleaching treatment method appears the most preferred by 79.9% to the dental hospital dental clinic. 6. Important to consider that the choice of Tooth bleaching was Tooth bleaching duration of 37.1% cost 33%, And when Tooth bleaching hoped to be long-lasting. In this research the high recognized of Tooth bleaching treatment, but very low Tooth bleaching experience female college students for the Tooth bleaching had the wrong information. Therefore, Tooth bleaching treatment and counseling that can be used to development and education were required to provide the correct information.

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Development of facial recognition application for automation logging of emotion log (감정로그 자동화 기록을 위한 표정인식 어플리케이션 개발)

  • Shin, Seong-Yoon;Kang, Sun-Kyoung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.4
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    • pp.737-743
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    • 2017
  • The intelligent life-log system proposed in this paper is intended to identify and record a myriad of everyday life information as to the occurrence of various events based on when, where, with whom, what and how, that is, a wide variety of contextual information involving person, scene, ages, emotion, relation, state, location, moving route, etc. with a unique tag on each piece of such information and to allow users to get a quick and easy access to such information. Context awareness generates and classifies information on a tag unit basis using the auto-tagging technology and biometrics recognition technology and builds a situation information database. In this paper, we developed an active modeling method and an application that recognizes expressionless and smile expressions using lip lines to automatically record emotion information.

States, Behaviors and Cues of Infants (영아의 상태, 행동, 암시)

  • Kim, Tae-Im
    • Korean Parent-Child Health Journal
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    • v.1
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    • pp.56-74
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    • 1998
  • The language of the newborn, like that of adults, is one of gesture, posture, and expression(Lewis, 1980). Helping parents understand and respond to their newborn's cues will make caring for their baby more enjoyable and may well provide the foundation for a communicative bond that will last lifetime. Infant state provides a dynamic pattern reflecting the full behavioral repertoire of the healthy infant(Brazelton, 1973, 1984). States are organized in a predictable emporal sequence and provide a basic classification of conditions that occur over and over again(Wolff, 1987). They are recognized by characteristic behavioral patterns, physiological changes, and infants' level of responsiveness. Most inportantly, however, states provide caregivers a framework for observing and understanding infants' behavior. When parents know how to determine whether their infant is sleep, awake, or drowsy, and they know the implications, recognition of states has for both the infant's behavior and for their caregiving, then a lot of hings about taking care of a newborn become much easier and more rewarding. Most parents have the skills and desire to do what is best for their infant. The skills 7373parents bring to the interaction are: the ability to read their infant's cues: to stimulate the baby through touch, movement, talking, and looking at: and to respond in a contingent manner to the infant's signals. Among the crucial skills infants bring to the interaction are perceptual abilities: hearing and seeing, the capacity to look at another for a period of time, the ability to smile, be consoled, adapt their body to holding or movement, and be regular and predictable in responding. Research demonstrates that the absence of these skills by either partner adversely affects parent-infant interaction and later development. Observing early parent-infant interactions during the hospital stay is important in order to identify parent-infant pairs in need of continued monitoring(Barnard, et al., 1989).

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A Study on the Correlation of Dental Anxiety Based on Dental Fear Scale (DFS) (치과불안척도(DFS)에 근거한 치과공포 연관성 연구)

  • Shin, Jae-Won;Kim, Sun-Il
    • Journal of the Korean Academy of Esthetic Dentistry
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    • v.28 no.1
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    • pp.54-60
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    • 2019
  • Objective: Dental fear is a feeling of anxiety and fear without intervention during a dental visit, mainly due to past negative dental treatment experiences, and in adults, despite the recognition of the need for dental treatment, it can lead to avoidance of dental treatment, which may cause deterioration of oral health. Therefore, this study was conducted to measure dental fear and anxiety level in some adults, and to identify related factors and their causes. Methods: This study used Kleinknecht's Dental Fear Survey scale and the SPSS 21 program (IBM SPSS Statistics 21) was used for analysis. Result: When the dental fear was the higher, the "access to the dental clinic" was found to be the highest, followed by "sitting in dental unit chair" and "smell of dental clinic" in that order. Conclusions: Dentists and dental hygienists should be able to understand the fear, anxiety, and concerns of the dentist office and to find various ways to provide systematic medical services.