ETRI-Knowledge Sharing Plaform

Learning Model Sleep Quality Self-Improving Artificial Intelligence System Emotional States Human Activity Recognition(HAR) Speech Emotion Recognition Smart Devices Mobile Devices Multimodal Data Location Traces Experiment Results Cognitive Computing Classification Performance Classification Accuracy Android Mobile Device Everyday Life Computing Technology Emotion Classification Recognition Accuracy Quality Data Human Locomotion Mental Health Smartphone-Based Network Framework Activity Level Data Acquisition Methods Emotional Speech Feature Values Ground Truth Motion Data Multiple Sensors Two Sensors Rehabilitation Engineering Single-Layered Passive Sensing Performance Improvement Past Data Body-Worn Convolution Neural Network(CNN) Daily Routine Ensemble Modeling Emotional Model Emotional Classification Feature Extractor Healthy Lifestyle High-Quality Imbalanced Dataset Learning Outcomes Low-Frequency Training And Evaluation Sensor Data Acquisition Sensing Data Post-Processing User-Friendly Natural Interaction Trace Data Statistical Analysis Two-Level Real-World Applications Absolute Value Audio Classification Behavior Pattern Classification Problems Ease Of Use Fusion Technique Ga Algorithm Gps Data Human Emotions Inertial Measurement Units(IMUs) K-Nearest Neighbors(KNN) Multiple Models Speech Features User'S Emotion Smartphone Sensors Self-Reporting Temporal Features Artificial Intelligence Technology Behavior Decisions Collection System Feature Vector Few Samples Health Care Key Issues Lifelog Data Lifestyle Patterns Minority Class Medical Field Sensor Data Fusion Points Of Interest Point Extraction Network-Based Target Domain Representative Items Representative Models Body Motion Classification System Classification Models Domain Knowledge Data Collected Future Development Feature Generator Imu Sensor Learning Algorithms Systematic Study Speech Database Quality Of Sleep Video Surveillance Well-Being Natural Conditions Oversampling Method Real-Life Data Analytical Study Categorical Model Dimension Reduction Density-Based Deep Learning Algorithm Electrodermal Activity Ecological Momentary Assessments Ensemble Classifiers Exploratory Data Analysis Logistic Regression(LR) Life-Logging Multi-Label Dataset Analysis Majority Class Motion Capture Database Multimodal Sensor Fusion Mobile Sensing Domain Adaptation Sampling Rate Strength Of Association Spectral Clustering Proposed Model Neural Network Model Sampling Parameters Routine Data Research Topics Research Trends Automatic Recognition Bidirectional Long Short-Term Memory Behavioral Data Challenging Issues Dbscan Clustering Algorithm Experience Sampling Human Behavior Study Kernel Density Estimation Loss-Based Model Generalization Multiple Trajectories Machine Learning Technique(MLT) Rate Of Change Self-Referential Prediction Error Overall Classification On-Body Sensor Optimal Clustering Activities Of Daily Living(ADLs) The Wild Robust Recognition Recall Rate Data Collection Method Daily Activities Decision Tree(DT) Empirical Study Emotional Interaction Emotional Recognition Heart Rate Variability Human Computer Interaction(HCI) Location Data Multi-Path Multi-Domain Memory-Based Multi-Cultural Technology Trends Semantic Label Skin Temperature User Behavior