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Journal
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2024 |
Comparing Multimodal Physiological Responses to Social and Physical Pain in Healthy Participants
Jang Eun Hye FRONTIERS IN PUBLIC HEALTH, v.12, pp.1-13 |
0 |
원문
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Journal
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2023 |
Automated detection of panic disorder based on multimodal physiological signals using machine learning
Jang Eun Hye ETRI Journal, v.45, no.1, pp.105-118 |
9 |
원문
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Journal
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2022 |
Real‐world multimodal lifelog dataset for human behavior study
Chung Seung Eun ETRI Journal, v.44, no.3, pp.426-437 |
26 |
원문
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Journal
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2018 |
Automatic Detection of Major Depressive Disorder using Electrodermal Activity
Kim Ahyoung Scientific Reports, v.8, pp.1-9 |
54 |
원문
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Conference
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2017 |
Identification of Electrodermal Activity(EDA) in Major Depressive Disorder
Kim Ahyoung International Conferences on Emotion and Sensibility (ICES) 2017, pp.1-1 |
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Conference
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2017 |
Electrodermal Activity and Major Depressive Disorders : Physiological Changes and Their Identifying
Kim Ahyoung International Conference of the Association of Psychology and Psychiatry for Adults and Children (APPAC) 2017, pp.1-2 |
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Journal
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2015 |
Analysis of Physiological Signals for Recognition of Boredom, Pain, and Surprise Emotions
Jang Eun Hye Journal of Physiological Anthropology, v.34, pp.1-12 |
137 |
원문
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Conference
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2014 |
Emotion Classification Based on Bio-Signals Using Machine Learning Algorithms
Jang Eun Hye International Conference on Advanced Cognitive Technologies and Applications (COGNITIVE) 2014, pp.104-109 |
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Conference
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2014 |
A Study on Analysis of Bio-Signals for Basic Emotions Classification: Recognition Using Machine Learning Algorithms
Jang Eun Hye International Conference on Information Science and Applications (ICISA) 2014, pp.1-4 |
7 |
원문
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Conference
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2014 |
Emotion classification based on bio-signals emotion recognition using machine learning algorithms
Jang Eun Hye International Conference on Information Science, Electronics and Electrical Engineering (ISEEE) 2014, pp.1373-1376 |
36 |
원문
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Conference
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2014 |
A Study on Autonomic Nervous System Responses and Feauture Selection for Emotion Recognition - Emotion Recognition using Machine Learning Algorithms
Park Byoung-Jun International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS) 2014, pp.116-121 |
2 |
원문
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Conference
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2014 |
Correlation between Psychological and Physiological Responses during Fear - Relationship to Perceived Intensity of Fear
Jang Eun Hye International Conference on Bio-Inspired Systems and Signal Processing (BIOSIGNALS) 2014, pp.104-109 |
3 |
원문
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Conference
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2014 |
Relationship between Affective Dimensions and Physiological Responses Induced by Emotional Stimuli - Base on Affective Dimensions: Arousal, Valence, Intensity and Approach
Jang Eun Hye International Conference on Physiological Computing Systems (PhyCS) 2014, pp.254-259 |
2 |
원문
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Journal
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2013 |
Design of Prototype-Based Emotion Recognizer Using Physiological Signals
Park Byoung-Jun ETRI Journal, v.35, no.5, pp.869-879 |
18 |
원문
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Conference
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2013 |
Classification of Three Negative Emotions Based on Physiological Signals
Jang Eun Hye International Conference on Intelligent Systems and Applications (INTELLI) 2013, pp.75-78 |
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Conference
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2012 |
Seven emotion recognition by means of particle swarm optimization on physiological signals: Seven emotion recognition
Park Byoung-Jun International Conference on Networking, Sensing and Control (ICNSC) 2012, pp.277-282 |
9 |
원문
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Conference
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2012 |
Emotion classification based on physiological signals induced by negative emotions: Discriminantion of negative emotions by machine learning algorithm
Jang Eun Hye International Conference on Networking, Sensing and Control (ICNSC) 2012, pp.283-288 |
22 |
원문
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Conference
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2012 |
Identification of Optimal Emotion Classifier with Feature Selections Using Physiological Signals
Park Byoung-Jun International Conference on Advances in Computer-Human Interactions (ACHI) 2012, pp.224-229 |
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