• Title/Summary/Keyword: surprise

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AN ALGORITHM FOR CLASSIFYING EMOTION OF SENTENCES AND A METHOD TO DIVIDE A TEXT INTO SOME SCENES BASED ON THE EMOTION OF SENTENCES

  • Fukoshi, Hirotaka;Sugimoto, Futoshi;Yoneyama, Masahide
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2009.01a
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    • pp.773-777
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    • 2009
  • In recent years, the field of synthesizing voice has been developed rapidly, and the technologies such as reading aloud an email or sound guidance of a car navigation system are used in various scenes of our life. The sound quality is monotonous like reading news. It is preferable for a text such as a novel to be read by the voice that expresses emotions wealthily. Therefore, we have been trying to develop a system reading aloud novels automatically that are expressed clear emotions comparatively such as juvenile literature. At first it is necessary to identify emotions expressed in a sentence in texts in order to make a computer read texts with an emotionally expressive voice. A method on the basis of the meaning interpretation that utilized artificial intelligence technology for a method to specify emotions of texts is thought, but it is very difficult with the current technology. Therefore, we propose a method to determine only emotion every sentence in a novel by a simpler way. This method determines the emotion of a sentence according to an emotion that words such as a verb in a Japanese verb sentence, and an adjective and an adverb in a adjective sentence, have. The emotional characteristics that these words have are prepared beforehand as a emotional words dictionary by us. The emotions used here are seven types: "joy," "sorrow," "anger," "surprise," "terror," "aversion" or "neutral."

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Facial Expression Classification Using Deep Convolutional Neural Network (깊은 Convolutional Neural Network를 이용한 얼굴표정 분류 기법)

  • Choi, In-kyu;Song, Hyok;Lee, Sangyong;Yoo, Jisang
    • Journal of Broadcast Engineering
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    • v.22 no.2
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    • pp.162-172
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    • 2017
  • In this paper, we propose facial expression recognition using CNN (Convolutional Neural Network), one of the deep learning technologies. To overcome the disadvantages of existing facial expression databases, various databases are used. In the proposed technique, we construct six facial expression data sets such as 'expressionless', 'happiness', 'sadness', 'angry', 'surprise', and 'disgust'. Pre-processing and data augmentation techniques are also applied to improve efficient learning and classification performance. In the existing CNN structure, the optimal CNN structure that best expresses the features of six facial expressions is found by adjusting the number of feature maps of the convolutional layer and the number of fully-connected layer nodes. Experimental results show that the proposed scheme achieves the highest classification performance of 96.88% while it takes the least time to pass through the CNN structure compared to other models.

A Study on the Aesthetic Thought and Expression Tendency of Contemporary Architecture from the Concept of the Uncanny (언캐니 개념으로 바라 본 현대건축의 미적사유와 표현경향 연구)

  • Park, Kyoung-Ah
    • Korean Institute of Interior Design Journal
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    • v.22 no.1
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    • pp.164-173
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    • 2013
  • This study aims to analyze the aesthetic thought and expression tendency appeared in contemporary architecture by looking at today's architectural art based on the concept of the uncanny that Sigmund Freud contended as an aesthetic principle, of the aesthetic concepts tossed around to define the contemporary times in the aesthetics field and discuss the architectural analysis possibility of the concept of the uncanny. The generation structure of the uncanny that generates experiences of fear and surprise is classified into dual structure, trauma, threatening structure, and repetition compulsion. This is the principle that evokes a sense of experiencing subject, incorporates sensibility, and vitalizes internal process. This is also the methodology to organize and structure the concept of the uncanny. When seen from the four factors drawn from the concept of the uncanny and aesthetic expressions, the uncanny expression characteristics of contemporary architecture includes isolation, subversion, trace, absence, oblique line, flotation, concealment, and disturbance. Isolation and subversion refers to producing the space of the pressure of tension and relaxation caused by repression and relief from repression and eliciting the maximum expansion of the sense of space through spatial change. Trace and absence indicates being able to elicit more intense emotions from the experiencing subject by applying the images of alienation and absence in the way to reproduce historical trauma. This happens by implementing the potential value of physical activity. Oblique line and flotation means visual impulse. This happens in the way to visualize uneasy points. This causes uncanny by threatening the survival. Finally, concealment and disturbance refers to creating unpredictable space. The concept of masquerade and maze space composition are applied in the way to activate spatial perception, including space exploration and unintended subject's forced selection. As stated above, the uncanny expression characteristics shown in contemporary architecture can be presented as indicators that are available to analyze the undecided and diversified contemporary architecture aesthetically. In this respect, this study has great significance.

On the Implementation of a Facial Animation Using the Emotional Expression Techniques (FAES : 감성 표현 기법을 이용한 얼굴 애니메이션 구현)

  • Kim Sang-Kil;Min Yong-Sik
    • The Journal of the Korea Contents Association
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    • v.5 no.2
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    • pp.147-155
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    • 2005
  • In this paper, we present a FAES(a Facial Animation with Emotion and Speech) system for speech-driven face animation with emotions. We animate face cartoons not only from input speech, but also based on emotions derived from speech signal. And also our system can ensure smooth transitions and exact representation in animation. To do this, after collecting the training data, we have made the database using SVM(Support Vector Machine) to recognize four different categories of emotions: neutral, dislike, fear and surprise. So that, we can make the system for speech-driven animation with emotions. Also, we trained on Korean young person and focused on only Korean emotional face expressions. Experimental results of our system demonstrate that more emotional areas expanded and the accuracies of the emotional recognition and the continuous speech recognition are respectively increased 7% and 5% more compared with the previous method.

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A review of the Traditional Concept of Psychologic Therapy in Oriental Medicine-specially about Oh-Ji-Sang-Seung(五志相勝療法) Therapy- (오지상승요법(五志相勝療法)에 관한 임상사례(臨床事例) 연구(硏究)와 현대적(現代的) 이해(理解))

  • Jang Hyun-Ho;Lyu Yeoung-Su;Kang Hyung-Won
    • Journal of Oriental Neuropsychiatry
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    • v.12 no.1
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    • pp.11-27
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    • 2001
  • In oriental medicine, from old times, psychological therapy has been regarded as physical therapy that has been inseparable from psychological therapy. The major objects for oriental psychological therapy is human emotions. Human emotions can be put in the seven feelings(七精) that include Joy(善), Anger(怒), Grief(思), Pity(悲), Fear(恐), Surprise(驚). The seven feelings are connected with human physiology. If each of the seven feelings if excessive, human physiology loses its valance. So the seven feelings are major causes of diseases. The specific character of oriental neuropsychiatry is to make use of the seven feelings in clinical treatment. These oriental neuropsychiatry therapies are performed through consultation with the patient. Of these therapies, Oh-Ji-Sang-Seung(五志相勝療法) is based on the theo교 of interrelation in five elements(metal, wood, water, fire, and earth) in oriental medicine. Specially the sequential subjugations of the five emotions are applied. The contents of Oh-Ji-Sang-Seung(五志相勝療法) include five subjugations of five emotions. Anxiety subjugates fear(思勝恐), fear subjugates joy(恐勝喜), joy subjugates pity(喜勝悲), pity subjugates anger(悲勝怒) and anger subjugates anxiety(怒勝思). The psychological therapy of Oh-Ji-Sang-Seung(五志相勝療法) can be applied in all area of neuropsychiatry. These days, many mental diseases such as Panic Disorder, Depression Somatoform disorders, and negative symptoms of Schizophrenia have been improved by Oh-Ji-Sang-Seung(五志相勝療法) therapy. Here, we present the treatment cases applied Oh-Ji-Sang-Seung(五志相勝療法) therapy in oriental medicine quoted from old oriental books and the latest treatment cases. Moreover, we hope that many oriental therapist will treat many different patients with mental disorders by Oh-Ji-Sang-Seung(五志相勝療法) therapy.

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Safety Review of Severe Accident Senario for Wet Spent Fuel Storage Facility (사용후핵연료 습식저장 시설의 중대사고 안전성 검토)

  • Shin, Tae-Myung
    • Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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    • v.9 no.4
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    • pp.231-236
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    • 2011
  • When the Fukushima nuclear power plant accident occurred in March of 2011, a hydrogen explosion in the reactor building at the 4th unit of Fukushima plants led to a big surprise because the full core of the unit 4 reactor had been moved and stored underwater at the spent nuclear fuel storage pool for periodic maintenance. It was because the possible criticality in the fuel storage pool by coolant loss may yield more severe situation than the similar accident happened inside the reactor vessel. Fortunately, it was assured to be evitable to an anxious situation by a look of water filled in the storage pool later. In the paper, the safety state of the spent fuel storage pool and rack structures of the domestic nuclear plants would be roughly reviewed and compared with the Fukushima plant case by engineering viewpoint of potential severe accidents.

The ABA Effect on the Accumulation of an Invertase Inhibitor Transcript that Is Driven by the CAMV35S Promoter in ARABIDOPSIS

  • Koh, Eun-Ji;Lee, Sung June;Hong, Suk-Whan;Lee, Hoi Seon;Lee, Hojoung
    • Molecules and Cells
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    • v.26 no.3
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    • pp.236-242
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    • 2008
  • Invertase (${\beta}$-D-fructofuranosidase; EC 3.2.1.26) catalyzes the conversion of sucrose into glucose and fructose and is involved in an array of important processes, including phloem unloading, carbon partitioning, the response to pathogens, and the control of cell differentiation and development. Its importance may have caused the invertases to evolve into a multigene family whose members are regulated by a variety of different mechanisms, such as pH, sucrose levels, and inhibitor proteins. Although putative invertase inhibitors in the Arabidopsis genome are easy to locate, few studies have been conducted to elucidate their individual functions in vivo in plant growth and development because of their high redundancy. In this study we assessed the functional role of the putative invertase inhibitors in Arabidopsis by generating transgenic plants harboring a putative invertase inhibitor gene under the control of the CaMV35S promoter. A transgenic plant that expressed high levels of the putative invertase inhibitor transcript when grown under normal conditions was chosen for the current study. To our surprise, the stability of the invertase inhibitor transcripts was shown to be down-regulated by the phytohormone ABA (abscisic acid). It is well established that ABA enhances invertase activity in vivo but the underlying mechanisms are still poorly understood. Our results thus suggest that one way ABA regulates invertase activity is by down-regulating its inhibitor.

The study of the defeat factor of'the Battle of the Bulge' Focus on Military Security (군사보안 관점에서 본 '발지전투' 패인 분석)

  • Kim, Sung Woo
    • Convergence Security Journal
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    • v.15 no.6_1
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    • pp.25-31
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    • 2015
  • It depend on relative combat power, patriotism and cohesion of citizen to victory in the battlefield. This stu dy try to analysis why the Germany army fail 'the Battle of the Bulge'. The Germany army plan of maneuve r to attack the France army was surprise attack in the beginning of World War II. The Germany army have initiative to make breakthrough Ardennes Ridge. The operation of the Ardennes Offensive Operation and the Battle of the Bulge is the typical features of blitzkrieg shock. However, the results are extremely different. In the course of the operational planning and decision the course of action, military security is most important fa ctor. We can see the truth in 'the Battle of the Bulge'.

Recognition of Hmm Facial Expressions using Optical Flow of Feature Regions (얼굴 특징영역상의 광류를 이용한 표정 인식)

  • Lee Mi-Ae;Park Ki-Soo
    • Journal of KIISE:Software and Applications
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    • v.32 no.6
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    • pp.570-579
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    • 2005
  • Facial expression recognition technology that has potentialities for applying various fields is appling on the man-machine interface development, human identification test, and restoration of facial expression by virtual model etc. Using sequential facial images, this study proposes a simpler method for detecting human facial expressions such as happiness, anger, surprise, and sadness. Moreover the proposed method can detect the facial expressions in the conditions of the sequential facial images which is not rigid motion. We identify the determinant face and elements of facial expressions and then estimates the feature regions of the elements by using information about color, size, and position. In the next step, the direction patterns of feature regions of each element are determined by using optical flows estimated gradient methods. Using the direction model proposed by this study, we match each direction patterns. The method identifies a facial expression based on the least minimum score of combination values between direction model and pattern matching for presenting each facial expression. In the experiments, this study verifies the validity of the Proposed methods.

Facial Expression Recognition by Combining Adaboost and Neural Network Algorithms (에이다부스트와 신경망 조합을 이용한 표정인식)

  • Hong, Yong-Hee;Han, Young-Joon;Hahn, Hern-Soo
    • Journal of the Korean Institute of Intelligent Systems
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    • v.20 no.6
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    • pp.806-813
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    • 2010
  • Human facial expression shows human's emotion most exactly, so it can be used as the most efficient tool for delivering human's intention to computer. For fast and exact recognition of human's facial expression on a 2D image, this paper proposes a new method which integrates an Discrete Adaboost classification algorithm and a neural network based recognition algorithm. In the first step, Adaboost algorithm finds the position and size of a face in the input image. Second, input detected face image into 5 Adaboost strong classifiers which have been trained for each facial expressions. Finally, neural network based recognition algorithm which has been trained with the outputs of Adaboost strong classifiers determines final facial expression result. The proposed algorithm guarantees the realtime and enhanced accuracy by utilizing fastness and accuracy of Adaboost classification algorithm and reliability of neural network based recognition algorithm. In this paper, the proposed algorithm recognizes five facial expressions such as neutral, happiness, sadness, anger and surprise and achieves 86~95% of accuracy depending on the expression types in real time.