• Title/Summary/Keyword: Emotional information system

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A Study on Image Recommendation System based on Speech Emotion Information

  • Kim, Tae Yeun;Bae, Sang Hyun
    • Journal of Integrative Natural Science
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    • v.11 no.3
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    • pp.131-138
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    • 2018
  • In this paper, we have implemented speeches that utilized the emotion information of the user's speech and image matching and recommendation system. To classify the user's emotional information of speech, the emotional information of speech about the user's speech is extracted and classified using the PLP algorithm. After classification, an emotional DB of speech is constructed. Moreover, emotional color and emotional vocabulary through factor analysis are matched to one space in order to classify emotional information of image. And a standardized image recommendation system based on the matching of each keyword with the BM-GA algorithm for the data of the emotional information of speech and emotional information of image according to the more appropriate emotional information of speech of the user. As a result of the performance evaluation, recognition rate of standardized vocabulary in four stages according to speech was 80.48% on average and system user satisfaction was 82.4%. Therefore, it is expected that the classification of images according to the user's speech information will be helpful for the study of emotional exchange between the user and the computer.

Reactive Learning Inference System Considering Emotional Factor (감정적 요소를 고려한 반응학습 추론 시스템)

  • 심정연
    • Journal of Institute of Control, Robotics and Systems
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    • v.10 no.11
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    • pp.1107-1111
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    • 2004
  • As an information technology is developed, more intelligent system considering emotional factor for implementing the personality is required. In this paper, Reactive Learning Inference System considering emotional factor is proposed. Emotional Facter(E) is defined for a criterion for representing the personal preference. This system is designed to have functions of Reactive filtering by Emotional factor, Incremental learning, perception & inference and knowledge retrieval. This system is applied to the area for analysis of customer's tastes and its performance is analyzed and compared.

A Study on Emotional Information System Using User Color Information

  • Ko, Hye-Kyeong
    • International journal of advanced smart convergence
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    • v.8 no.4
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    • pp.82-92
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    • 2019
  • The appropriate use of color and light can increase psychological stress or feelings of mental stability. As such, many people currently use color therapy, which provides relaxation and stability through color stimulation. Many people currently use color therapy, which provides relaxation and stability through color stimulation. The smartphone-based psychological color therapy system that is to be developed through the study is a method for relieving stress. This study examines a method of using smartphones to understand user's emotional information such as types of stress and to provide color therapy information regarding these emotions. The goal of this study is to use the user's smart phone to provide color therapy that employs the user's emotional information. The intelligent emotion system, which uses platforms such as mobile devices and the PC, was designed considering the user's context, and it provides the user with various data formats such as images, video, text, audio, to send results to the user. The system was developed in the form of a service-based mobile application. The study designed an emotional color therapy system that uses a smartphone to measure the user's stress and provides appropriate color therapy.

An Adaptive Customization Service using Emotional Indices of Bio-rhythm based on Web (웹기반의 바이오리듬의 감성지수를 이용한 적응적 고객화 서비스)

  • Na, Yun-Ji;Ko, Il-Seok
    • The KIPS Transactions:PartD
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    • v.12D no.6 s.102
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    • pp.899-904
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    • 2005
  • Necessity of the service-on-demand that reflect a personal characteristic of a customer was increased by an aggravation of web service competition. So a study on a customization is being performed actively. The common customization system supporting of the personalization is performed through the computational data like individual characteristic or preference. Various studies on the service that used emotional information were performed. But we can't use this emotional information in the web system because of characteristics of emotional information system In this study, we design the adaptive customization system that used emotional information of the customer and analyse the system by experiments.

Construct the emotional information system in product design -Focused on the cooking kit with fun- (제품디자인에 있어서 감성정보 모델구축에 관한 연구 - 푸드용품을 중심으로-)

  • Hyoung, Sung-Eun
    • Science of Emotion and Sensibility
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    • v.11 no.1
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    • pp.69-80
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    • 2008
  • The scheme to approach emotional design developed in various way of research without defining criterion of emotional way. A aim of this research to derive a new way of approaching system and construct the process in emotional design. In first experiments, analyze meaning of important factors in cooking kits to construct the model of emotional approaching system by the analysis of quantification theory type 3. This shows that four emotional factors as shape, atmosphere, functional matter, information are deeply related with emotional thinking and design. Consequently, the way of emotional approaching in cooking kit have several conditions essentially as following these; 1.Is it have functional advantages to cook? 2. Is it good looking in shape? 3. Is it possible to make some of mood on cooking? 4. How much information of cook we get in? These conditions were classified in detail to establish emotional design system.

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Smart Emotional lighting control method using a wheel interface of the smart watch (스마트워치의 휠 인터페이스를 이용한 스마트 감성 조명 제어)

  • Kim, Bo-Ram;Kim, Dong-Keun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.20 no.8
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    • pp.1503-1510
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    • 2016
  • In this study, we implemented the emotional light controlling system by using the wheel interface built in the smart-watch devices. Most previous light controlling systems have been adopted the direct switches or smart-phone applications for presenting individual emotion in lighting systems. However, in order to control color properties, these studies have some complicated user-interfaces in systems and limitation to present various color spectrums. Therefore, we need to user-friendly interfaces and functions for controlling properties of the lightning systems such as color, tone, color temperature, brightness, and saturation in detail with the wheel interface built in the smart-watch devices. The system proposed in the study is given to choose the user's selecting the emotional status information for providing the emotional lights. The selectable emotional status such as "stable", "surprise", "tired", "angry", etc. can be among 11 kinds of emotional states. In addition, the designed system processed the user's information such as user's emotional status information, local time, location information.

A digital aesthetic in music (음악에서의 디지탈 미학)

  • 윤증선
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10b
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    • pp.130-133
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    • 1996
  • An exploration for an emotional intelligence paradigm has been delineated. Emotional intelligence is investigated in terms of composing machine as a modern abstract art. The system consists of interface, plan and performance modules. Design concepts of the system are modular, open, and user friendly to ensure the overall performance. The exploration of art in the view of intelligence, information and structure will restore the balanced sense of the art and the science seek the happiness of life. The investigations of emotional intelligence will establish the foundations of intelligence, information and control technologies.

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An Emotional Communication System Using Emotion Recognition of Users (사용자의 감성인식을 통한 감성통신 시스템)

  • Cho, Myeon-gyun
    • IEMEK Journal of Embedded Systems and Applications
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    • v.6 no.4
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    • pp.201-207
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    • 2011
  • This paper introduces a novel concept of 'Emotional Communication' for future smart phone. While traditional information based communication technologies focus on how to precisely transmit the content of message, emotional communication is intended to support and augment social relationship among people and to comfort the user to be happy. In this paper, we propose future communication services and core technologies which can estimate emotional desire of users and respond to the desire to be happy with connectedness and consolation from peoples. Firstly, we introduce emotion recognition techniques to estimate emotional desire of users. At second, the emotional responding services are categorized to four parts and the details are shown. Lastly we propose the process to implement emotional communication system and the main techniques to fulfill the system requirements for future smart-phone services.

Stress Detection System for Emotional Labor Based On Deep Learning Facial Expression Recognition (감정노동자를 위한 딥러닝 기반의 스트레스 감지시스템의 설계)

  • Og, Yu-Seon;Cho, Woo-hyun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.10a
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    • pp.613-617
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    • 2021
  • According to the growth of the service industry, stresses from emotional labor workers have been emerging as a social problem, thereby so-called the Emotional Labor Protection Act was implemented in 2018. However, insufficient substantial protection systems for emotional workers emphasizes the necessity of a digital stress management system. Thus, in this paper, we suggest a stress detection system for customer service representatives based on deep learning facial expression recognition. This system consists of a real-time face detection module, an emotion classification FER module that deep-learned big data including Korean emotion images, and a monitoring module that only visualizes stress levels. We designed the system to aim to monitor stress and prevent mental illness in emotional workers.

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Affective Computing Among Individuals in Deep Learning

  • Kim, Seong-Kyu (Steve)
    • Journal of Multimedia Information System
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    • v.7 no.2
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    • pp.115-124
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    • 2020
  • This paper is a study of deep learning among artificial intelligence technology which has been developing many technologies recently. Especially, I am talking about emotional computing that has been mentioned a lot recently during deep learning. Emotional computing, in other words, is a passive concept that is dominated by people who scientifically analyze human sensibilities and reflect them in product development or system design, and a more active concept that studies how devices and systems understand humans and communicate with people in different modes. This emotional signal extraction, sensitivity, and psychology recognition technology is defined as a technology to process, analyze, and recognize psycho-sensitivity based on micro-small, hyper-sensor technology, and sensitive signals and information that can be sensed by the active movement of the autonomic nervous system caused by human emotional changes in everyday life. Chapter 1 talks about overview and Chapter 2 shows related research. Chapter 3 shows the problems and models of real emotional computing and Chapter 4 shows this paper as a conclusion.