Biometric Signal Analysis
EEG-based biometric signal processing for pedestrian emotion and response
Posts by Collection
portfolio
Computer Vision
Scene segmentation of self-built virtual urban environments for pedestrian research
Reinforcement Learning
Reinforcement learning for pedestrian behavior and intelligent transportation systems
Virtual Reality
VR-based driving and pedestrian simulation for human factors research
Traffic Simulation
Microscopic and macroscopic traffic simulation
Travel Behavior Analysis
Urban mobility patterns and travel demand modeling
Urban Planning
Spatial analysis and urban design for sustainable city development
Studying Julia
Learning Julia for optimization and autonomous driving research
Ackley Function
Optimization benchmark function for testing algorithms
VLM Streetscape
Vision-Language Models for structured streetscape assessment from open street-level imagery
Seoul Walkability
A computer-vision approach to walkability, active aging, and housing capitalization
publications
An analysis of threshold access time and distance to age-friendly facilities: A comparison between senior and pre-senior populations
Published in SH Urban Research & Insight, 2024
Recommended citation: Park, W., Ko, H., & Kim, S.-N. (2024). "An analysis of threshold access time and distance to age-friendly facilities: A comparison between senior and pre-senior populations." SH Urban Research & Insight, 14(3), 75-96.
Street lighting environment and fear of crime: a simulated virtual reality experiment
Published in Virtual Reality, 2024
Recommended citation: Son, D., Im, B., Her, J., Park, W., Kang, S. J., & Kim, S. N. (2025). "Street lighting environment and fear of crime: a simulated virtual reality experiment." Virtual Reality, 29(1), 1-17.
Fear of crime revisited: analyzing the effects of urban nighttime illuminance on neural and psychological responses using recorded virtual environments and electroencephalogram data
Published in Virtual Reality, 29, 145, 2025
Recommended citation: Park, W., Son, D., Im, B. et al. (2025). "Fear of crime revisited: analyzing the effects of urban nighttime illuminance on neural and psychological responses using recorded virtual environments and electroencephalogram data." Virtual Reality, 29, 145.
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study
Basics of Statistical Learning
Published:
Introduction to statistical learning concepts with Python (NumPy, Pandas, Matplotlib)
Assessing Model Accuracy
Published:
Measuring the quality of fit: MSE, bias-variance trade-off, and training vs. test error
K-Nearest Neighbors
Published:
KNN classifier and regressor: a non-parametric approach to classification and regression
Simple Linear Regression
Published:
Fitting a linear model with a single predictor using OLS
Multiple Linear Regression
Published:
Extending linear regression to multiple predictors, interaction terms, and polynomial regression
Gradient Descent
Published:
Optimization algorithm for minimizing the cost function in linear regression
Logistic Regression
Published:
Binary classification using the logistic function and maximum likelihood estimation
Generative Models for Classification
Published:
LDA, QDA, and Naive Bayes classifiers based on Bayes theorem
Generalized Linear Models
Published:
Extending linear models beyond Gaussian: Poisson regression and the GLM framework
Cross-Validation
Published:
Model assessment and selection using validation set, LOOCV, and k-fold cross-validation
The Bootstrap
Published:
Estimating uncertainty and standard errors through resampling
Ridge and Lasso Regression
Published:
Shrinkage methods for regularization: L1 and L2 penalties
Subset Selection
Published:
Best subset, forward stepwise, and backward stepwise selection methods
Polynomial Regression and Splines
Published:
Non-linear extensions of linear models: polynomial, step functions, and regression splines
Decision Trees
Published:
Recursive binary splitting for classification and regression trees
Bagging and Random Forests
Published:
Ensemble methods using bootstrap aggregation and random feature selection
Ensemble Learning
Published:
Boosting and other ensemble strategies for improved prediction
Principal Component Analysis (PCA)
Published:
Dimensionality reduction using PCA: theory, implementation, and visualization
talks
teaching
Teaching Assistant: GIS & GIS Application (7 credits)
Undergraduate course, [Chung-Ang Univesrity], 2024