• Title/Summary/Keyword: emotion control

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Smart Emotional Lighting Control System based on Mobile (모바일 기반의 스마트 감성조명 제어 시스템)

  • Hong, Sung-Il;Lin, Chi-Ho
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.15 no.6
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    • pp.3858-3864
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    • 2014
  • This paper proposes the smart emotion lighting control system of a mobile-based. The proposed smart emotional lighting control system to reduce the emotional lighting device, internal heat and the power consumption was configured to the android platform mobile device and zigbee module, emotional lighting device, lighting control module, power supply, and general-purpose transistor. The mobile device was to transmit the real-time control information to the emotional lighting device when connected to the system, and it was designed to control the emotion lighting device based on the control messages and status monitoring. In this paper, the efficiency verification results of the proposed smart emotional lighting control system showed that it was possible to control by emotion lighting control and the color temperature variable. The heating value and the power consumption could be reduced by21% and up to 48%, because of the controlled lighting using emotion language.

Emotion Recognition and Expression Method using Bi-Modal Sensor Fusion Algorithm (다중 센서 융합 알고리즘을 이용한 감정인식 및 표현기법)

  • Joo, Jong-Tae;Jang, In-Hun;Yang, Hyun-Chang;Sim, Kwee-Bo
    • Journal of Institute of Control, Robotics and Systems
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    • v.13 no.8
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    • pp.754-759
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    • 2007
  • In this paper, we proposed the Bi-Modal Sensor Fusion Algorithm which is the emotional recognition method that be able to classify 4 emotions (Happy, Sad, Angry, Surprise) by using facial image and speech signal together. We extract the feature vectors from speech signal using acoustic feature without language feature and classify emotional pattern using Neural-Network. We also make the feature selection of mouth, eyes and eyebrows from facial image. and extracted feature vectors that apply to Principal Component Analysis(PCA) remakes low dimension feature vector. So we proposed method to fused into result value of emotion recognition by using facial image and speech.

A Study on the Variation of Music Characteristics based on User Controlled Music Emotion (음악 감성의 사용자 조절에 따른 음악의 특성 변형에 관한 연구)

  • Nguyen, Van Loi;Xubin, Xubin;Kim, Donglim;Lim, Younghwan
    • The Journal of the Korea Contents Association
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    • v.17 no.3
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    • pp.421-430
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    • 2017
  • In this paper, research results on the change of music emotion are described. Our gaol was to provide a method of changing music emotion by a human user. Then we tried to find a way of transforming the contents of the original music into the music whose emotion is similar with the changed emotion. For the purpose, a method of changing the emotion of playing music on two-dimensional plan was describe. Then the original music should be transformed into the music which emotion would be equal to the changed emotion. As the first step a method of deciding which music factors and how much should be changed was presented. Finally the experimental method of editing by sound editor for changing the emotion was described. There are so many research results on the recognition of music emotion. But the try of changing the music emotion is very rare. So this paper would open another way of doing research on music emotion field.

Alexithymia and the Recognition of Facial Emotion in Schizophrenic Patients (정신분열병 환자에서의 감정표현불능증과 얼굴정서인식결핍)

  • Noh, Jin-Chan;Park, Sung-Hyouk;Kim, Kyung-Hee;Kim, So-Yul;Shin, Sung-Woong;Lee, Koun-Seok
    • Korean Journal of Biological Psychiatry
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    • v.18 no.4
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    • pp.239-244
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    • 2011
  • Objectives Schizophrenic patients have been shown to be impaired in both emotional self-awareness and recognition of others' facial emotions. Alexithymia refers to the deficits in emotional self-awareness. The relationship between alexithymia and recognition of others' facial emotions needs to be explored to better understand the characteristics of emotional deficits in schizophrenic patients. Methods Thirty control subjects and 31 schizophrenic patients completed the Toronto Alexithymia Scale-20-Korean version (TAS-20K) and facial emotion recognition task. The stimuli in facial emotion recognition task consist of 6 emotions (happiness, sadness, anger, fear, disgust, and neutral). Recognition accuracy was calculated within each emotion category. Correlations between TAS-20K and recognition accuracy were analyzed. Results The schizophrenic patients showed higher TAS-20K scores and lower recognition accuracy compared with the control subjects. The schizophrenic patients did not demonstrate any significant correlations between TAS-20K and recognition accuracy, unlike the control subjects. Conclusions The data suggest that, although schizophrenia may impair both emotional self-awareness and recognition of others' facial emotions, the degrees of deficit can be different between emotional self-awareness and recognition of others' facial emotions. This indicates that the emotional deficits in schizophrenia may assume more complex features.

Exploring facial emotion processing in individuals with psychopathic traits during the implicit/explicit tasks: An ERP study (암묵적/외현적 과제에서 나타난 정신병질특성집단의 얼굴 정서 처리: 사건관련전위 연구)

  • Lee, Ye-Ji;Kim, Young Youn
    • Korean Journal of Forensic Psychology
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    • v.12 no.2
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    • pp.99-120
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    • 2021
  • This study examined the differences in facial emotion processing related to psychopathic traits. On the basis of the Psychopathic Personality Inventory-Revised (Lee & Park, 2008), students were divided into psychopathic trait (n=15) and control (n=15) groups. Participants performed two tasks consisted of negative(angry, fear, sad) and neutral faces. Event-related potentials(EPRs) were recorded when participants categorized gender in the implicit task and emotion in the explicit task. We analyzed the late positive potentials(LPP) amplitude to investigate differences in emotion processing between psychopathic trait group and control group. In the implicit task, there was no significant difference in both groups. However, there was a significant interaction between emotion and group at the frontocentral region in the explicit task. The psychopathic trait group showed greater LPP amplitudes for the neutral faces than for the negative faces, whereas the control group showed similar LPP amplitudes for the neutral and negative faces at the frontocentral site. These results might reflect the abnormalities in emotional processing in individuals with psychopathic traits.

Behavior Decision Model Based on Emotion and Dynamic Personality

  • Yu, Chan-Woo;Choi, Jin-Young
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.101-106
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    • 2005
  • In this paper, we propose a behavior decision model for a robot, which is based on artificial emotion, various motivations and dynamic personality. Our goal is making a robot which can express its emotion human-like way. To achieve this goal, we applied several emotion and personality theories in psychology. Especially, we introduced the concept of dynamic personality model for a robot. Drawing on this concept, we could make a behavior decision model so that the emotion expression of the robot has adaptability to various environments through interactions between human and the robot.

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Detecting Data which Represent Emotion Features from the Speech Signal

  • Park, Chang-Hyun;Sim, Kwee-Bo;Lee, Dong-Wook;Joo, Young-Hoon
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.138.1-138
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    • 2001
  • Usually, when we take a conversation with another, we can know his emotion as well as his idea. Recently, some applications using speech recognition comes out , however, those can recognize only context of various informations which he(she) gave. In the future, machine familiar to human will be a requirement for more convenient life. Therefore, we need to get emotion features. In this paper, we´ll collect a multiplicity of reference data which represent emotion features from the speech signal. As our final target is to recognize emotion from a stream of speech, as such, we must be able to understand features that represent emotion. There are much emotions human can show. the delicate difference of emotions makes this recognition problem difficult.

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A Descriptive Study on the Function of Emotion in the Context of Eyewitness Testimony (목격자 증언 맥락에서 정서의 기능에 관한 서술적 고찰)

  • Lee, Seungjin
    • Journal of the Korea Convergence Society
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    • v.13 no.5
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    • pp.267-278
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    • 2022
  • This paper was intended to examine the function of emotion that affects the accuracy of statements in the context of eyewitness testimony. The main emotion theories and concepts introduced in previous studies examining the relation between testimony accuracy and negative emotions were examined based on the characteristics of the research method. The results were presented in the order of emotion definition, emotion inducing method, and emotion measurement method. Specifically, the definition of emotion was described based on studies on negative emotions, arousal, stress, and mood. The emotion inducing method was mainly described based on images, virtual reality, and staged events designed by researchers, which have been mainly used in laboratories. Emotion measurement methods were described with respect to the self-report, behavioral checklist, and psychophysiology. In addition, the emotional approach for objective and scientific repeated verification, the importance of effective experimental design and appropriate scientific memory test, and the need for individual difference control were discussed. This paper reinterprets the contradictions shown by previous research by systematically structuring the function of emotion that affects the accuracy of testimony. It was meaningful to provide a frame for comparative analysis of related studies. Ultimately, it is expected that such knowledge will be used as basic documents for judging the reliability of eyewitness testimony in a legal context.

Effects of an emotional regulation program on maladaptive cognitive emotion regulation, stress, anxiety, and postpartum depression among South Korean mothers of premature infants in the neonatal intensive care unit

  • Choi, Hyo Sin;Lee, Kyung Eun;Shin, Yeonghee
    • Child Health Nursing Research
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    • v.27 no.1
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    • pp.24-33
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    • 2021
  • Purpose: This study aimed to evaluate the effects of a rational emotive behavior therapy (REBT)-based emotional regulation program for mothers of premature infants in the neonatal intensive care unit (NICU). Methods: The study utilized a nonequivalent control group pretest-posttest design. Seventeen mothers were recruited for the experimental group and 21 mothers for the control group. Data were collected from July 9, 2018, to Oct 12, 2018 from mothers of premature infants in the NICU regarding parental stress, state anxiety, depression, and maladaptive cognitive emotion regulation. The experimental group received eight sessions of the REBT-based emotional regulation program for 3~4 weeks, and the control group only received standard nursing care. Results: Significant differences were found between the two groups in maladaptive cognitive emotion regulation (Z=-3.88, p<.001), stress (Z=-2.76, p=.006), state anxiety (Z=-3.72, p<.001), and postpartum depression(Z=-2.62, p=.009) after the intervention in the experimental group. Conclusion: The REBT-based emotional regulation program for mothers of premature infants was effective for reducing maladaptive cognitive emotion regulation, stress, anxiety, and postpartum depression. Therefore, it may be necessary to provide an REBT-based emotional regulation program for mothers of premature infants in the NICU in clinical practice.