• Title/Summary/Keyword: Emotion coding

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Reaction Times to Predictable Visual Patterns Reflect Neural Responses in Early Visual Cortex

  • Joo, Sung Jun
    • Science of Emotion and Sensibility
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    • v.24 no.2
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    • pp.57-64
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    • 2021
  • It has long been speculated that the visual system should use a coding strategy that takes advantage of statistical redundancies in images. But how such a coding strategy should manifest in neural responses has been less clear. Low-level image structure related to the power spectrum of natural images appears to be captured by a hard-wired efficient code in the retina of the fly and precortical structures like the LGN of cats that maximizes information content through the limited capacity channel of the optic nerve. But visual images are typically filled with higher-order structure beyond that captured by the power spectrum and visual cortex is not constrained by the same capacity limits as the optic nerve. Whether and how visual cortex can flexibly code for higher order redundancies is unknown. Here we show using psychophysical techniques that the neural response in early human visual cortex may be modulated by orientation redundancies in images such that a visual feature that is contained within a predictive pattern results in slower reaction times than a feature that deviates from a pattern, suggesting lower neural responses to predictable stimuli in the visual cortex. Our results point to a neural response in early visual cortex that is sensitive to global patterns and redundancies in visual images and is in marked contrast to standard models of cortical visual processing.

Optimal Facial Emotion Feature Analysis Method based on ASM-LK Optical Flow (ASM-LK Optical Flow 기반 최적 얼굴정서 특징분석 기법)

  • Ko, Kwang-Eun;Park, Seung-Min;Park, Jun-Heong;Sim, Kwee-Bo
    • Journal of the Korean Institute of Intelligent Systems
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    • v.21 no.4
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    • pp.512-517
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    • 2011
  • In this paper, we propose an Active Shape Model (ASM) and Lucas-Kanade (LK) optical flow-based feature extraction and analysis method for analyzing the emotional features from facial images. Considering the facial emotion feature regions are described by Facial Action Coding System, we construct the feature-related shape models based on the combination of landmarks and extract the LK optical flow vectors at each landmarks based on the centre pixels of motion vector window. The facial emotion features are modelled by the combination of the optical flow vectors and the emotional states of facial image can be estimated by the probabilistic estimation technique, such as Bayesian classifier. Also, we extract the optimal emotional features that are considered the high correlation between feature points and emotional states by using common spatial pattern (CSP) analysis in order to improvise the operational efficiency and accuracy of emotional feature extraction process.

Emotion Recognition Method for Driver Services

  • Kim, Ho-Duck;Sim, Kwee-Bo
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.7 no.4
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    • pp.256-261
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    • 2007
  • Electroencephalographic(EEG) is used to record activities of human brain in the area of psychology for many years. As technology developed, neural basis of functional areas of emotion processing is revealed gradually. So we measure fundamental areas of human brain that controls emotion of human by using EEG. Hands gestures such as shaking and head gesture such as nodding are often used as human body languages for communication with each other, and their recognition is important that it is a useful communication medium between human and computers. Research methods about gesture recognition are used of computer vision. Many researchers study Emotion Recognition method which uses one of EEG signals and Gestures in the existing research. In this paper, we use together EEG signals and Gestures for Emotion Recognition of human. And we select the driver emotion as a specific target. The experimental result shows that using of both EEG signals and gestures gets high recognition rates better than using EEG signals or gestures. Both EEG signals and gestures use Interactive Feature Selection(IFS) for the feature selection whose method is based on the reinforcement learning.

An Exploratory Approach to Textile Designer's Cognition Model -focused on the Stage of Motif Development- (텍스타일 디자이너의 인지 모형에 대한 탐색적 접근 -모티브 개발 단계를 중심으로-)

  • 송승근;이주현
    • Science of Emotion and Sensibility
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    • v.6 no.1
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    • pp.55-62
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    • 2003
  • This study was an exploratory approach to the cognitive model of textile designers on the stage of motif development in textile design process. Prior to the main research, several previous studies adopting methods of video/audio protocol analysis were reviewed. On the basis of the review, the categories of design action were derived as an analysis frame by application of top-down access method, meanwhile the sub-groups of each category of design action were identified through a bottom-up access method. To summarize the research result, total three categories of textile design action appeared based on the theory of ‘Human processor’ model : ‘motor action’, ‘perceptual action’ and 'cognitive action'. In next, a new coding scheme suitably explaining these three categories of fertile design action was developed. Finally, a cognitive model of textile designer on the stage of motif development, employing the new coding scheme, was suggested in this study.

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A Comparative Analysis on Facial Expression in Advertisements -By Utilising Facial Action Coding System(FACS) (광고 속의 얼굴 표정에 따른 비교 연구 -FACS를 활용하여)

  • An, Kyoung Hee
    • The Journal of the Korea Contents Association
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    • v.19 no.3
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    • pp.61-71
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    • 2019
  • Due to the limit of the time length of advertisement, facial expressions among the types of nonverbal communication are much more expressive and convincing to appeal to costumers. The purpose of this paper is not only to investigate how facial expressions are portrayed but also to examine how facial expressions convey emotion in TV advertisements. Research subjects are TV advertisements of and which had the wide range of popularity for customer known as one of the most touching commercials. The research method is Facial Action Coding System based on the theoretical perspective of a discrete emotions and designed to measure specific facial muscle movements. This research is to analyse the implications of facial expressions in the both TV ads by using FACS based on Psychology as well as anatomy. From the all the result of this, it is shown that the facial expressions portrayed with the conflict of emotional states and the dramatic emotional relief of the heroin could move more customers' emotions.

A Study on the Architectural Design Method for ]Remodeling Vitalization of Apartment Rouses - Based on the Systematization of Emotion-Information for Multi-Dimensional Module Composition of the Unit household - (공동주택 리모델링 활성화를 위한 건축설계 기법에 관한 연구 - 단위세대 다차원모듈 구성을 위한 감성정보 체계화를 중심으로 -)

  • Jung Moo-Woong;Lee Chan-Yong
    • Journal of the Korean housing association
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    • v.16 no.4
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    • pp.121-129
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    • 2005
  • The major goal of this study is drawing design plan factors considering residents' life cycle and life style when remodeling design is needed. By drawing such design factors, the study will propose an alternative remodeling design plan. Such design method was defined as Multi-Dimensional module design method. And constructing data-system based on Multi-Dimensional module was secondary goal in this study. The details are as follows: Based on analysis of Residents' demand for remodeling and features of emotion-design applied to remodeling, the system which is suitable for application in remodeling design method was conducted. Based on the type of construction materials, the level value was set up according to emotion-factor application. Also, by conducting coding operation according to the distinction of construction materials, this study seeks the unit drawing method of information for constructing emotion-information system.

A Study on the Method for Multi-dimensional Module Plan of Apartment Houses for Remodeling - Based on the systematization of Emotion-Information for Multi-Dimensional Module Composition of the Unit household (공동 주택 리모델링 다차원모듈 설계 기법에 관한 연구 - 단위세대 다차원모듈 구성을 위한 감성정보 체계화를 중심으로 -)

  • Lee, Chan-Yong;Kwon, Sung-Sun
    • Journal of The Korean Digital Architecture Interior Association
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    • v.5 no.1
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    • pp.1-8
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    • 2005
  • The major goal of this study is drawing design plan factors considering residents' life cycle and life style when remodeling design is needed. By drawing such design factors, the study will propose an alternative remodeling design plan. Such design method was defined as Multi-Dimensional module design method. And constructing data-system based on Multi-Dimensional module was secondary goal in this study. The details are as follows: Based on analysis of Residents' demand for remodeling and features of emotion-design applied to remodeling, the system which is suitable for application in remodeling design method was conducted. Based on the type of construction materials, the level value was set up according to emotion-factor application. Also, by conducting coding operation according to the distinction of construction materials, this study seeks the unit drawing method of information for constructing emotion-information system.

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The Accuracy of Recognizing Emotion From Korean Standard Facial Expression (한국인 표준 얼굴 표정 이미지의 감성 인식 정확률)

  • Lee, Woo-Ri;Whang, Min-Cheol
    • The Journal of the Korea Contents Association
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    • v.14 no.9
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    • pp.476-483
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    • 2014
  • The purpose of this study was to make a suitable images for korean emotional expressions. KSFI(Korean Standard Facial Image)-AUs was produced from korean standard apperance and FACS(Facial Action coding system)-AUs. For the objectivity of KSFI, the survey was examined about emotion recognition rate and contribution of emotion recognition in facial elements from six-basic emotional expression images(sadness, happiness, disgust, fear, anger and surprise). As a result of the experiment, the images of happiness, surprise, sadness and anger which had shown higher accuracy. Also, emotional recognition rate was mainly decided by the facial element of eyes and a mouth. Through the result of this study, KSFI contents which could be combined AU images was proposed. In this future, KSFI would be helpful contents to improve emotion recognition rate.

Literary Therapeutic Mechanism Analysis in which the Rated Sijo is Encoded as a Battery of Life

  • Park, In-Kwa
    • International Journal of Advanced Culture Technology
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    • v.4 no.4
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    • pp.45-50
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    • 2016
  • This is a humanistic study to trace phenomena logically the comprehensive therapeutic mechanism of the human body which is coded by the smart emotion of the rated signal conveyed by the Rated Sijo. The Gestalt, which is structured in the form of therapeutic metastasis conveyed by sentences, is intended to embody the principle of human response. So, this researcher explored the metastatic structure toward Gestalt of original human being through the passage of foreground and background by ergonomic and chemical structure. In the meantime, this researcher focused on revealing the structure of the field of existence by the symbol system in which the therapeutic mechanism of the human body is embodied. As a result, the basic framework of Gestalt literary therapy, which contributes to the improvement of the Quality of Life metaphorized as a mechanism of the symbol system by the metastasis of literary therapy or the electrical operation of the human body. As a result, the human body as a conductor through literature has turned out to be an original Gestalt structure pursued by literature. In addition, it was analyzed that the human body would accept signals such as emotions and Rated Emotions planted in the sentence, and synapse them into the human physiological psycho analytical symbol system. Therefore, it has been confirmed possibility that human existent environment and trauma are separated from the whole universe can push fully implement therapeutic techniques toward totalization by a combination of literary devices, especially appropriate electric signal combination of the Rated Sijo.

DEVELOPMENT OF A ODOR GENERATION SYSTEM FOR MULTIMEDIA (멀티미디어용 향 발생 장치 개발)

  • 이영주;전영주;임재중;김남균
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 1999.03a
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    • pp.277-280
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    • 1999
  • 인간은 환경의 변화나 외부로부터 입력되는 여러 가지 혼합된 자극 중에서 필요한 정보만을 선택적으로 또는 종합적으로 감지 할 수 있는 기능을 가지고 있다. 그 중에서도 향에 의한 후각자극은 생리·심리적으로 미치는 영향을 통해서 현실 생활에서 여러 가지 중요한 역할을 담당하고 있다. 본 연구에서는 시청각 위주의 멀티미디어 환경에 후각 자극을 추가적으로 제공할 수 있는 향 발생장치를 개발함으로써 현재까지는 경험하지 못한 새로운 차원의 감성적인 삶을 영위할 수 있도록 하였다. 개발된 시스템은 container에 담긴 고체향을 heater 또는 소형 motor를 사용하여 사용자의 코 밑으로 발산시킨다. 이때 멀티미디어 매체로부터 coding 된 신호는 사용자가 가지고 있는 원격 수신기로 수신되고 microprocessor에 의해 처리되어 발산시키고자 하는 향의 종류를 선택하여 일정시간동안 향 발생장치를 동작시킴으로써 원하는 향을 발산시키도록 하였다.

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