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AI-Based Construction Safety and Hazard Identification
Construction sites involve complex and dynamic environments where safety hazards continuously emerge.
This research develops AI-driven methods — including computer vision, wearable sensor data analytics, and deep learning — to automatically identify and monitor safety hazards on construction sites.
By integrating multi-channel data from cameras and wearable devices, we aim to build real-time hazard identification systems that enhance worker safety and enable proactive risk management.
Wearable Sensor-Based Worker Health and Activity Monitoring
Wearable sensors such as IMUs and physiological biosensors provide rich data about construction workers' physical status.
This research investigates how wearable sensor data can be used to classify work activities, assess physical demands, detect fatigue, and evaluate gait stability.
Our goal is to develop sensor-based platforms that support worker health management and productivity analysis in construction and manufacturing environments.
Computer Vision for Construction Site Monitoring
Leveraging advances in object detection, action recognition, and spatiotemporal graph neural networks, this research automates the monitoring of construction progress, worker behavior, and finishing work quality.
Key topics include activity recognition across varying camera angles, occlusion-aware worker detection, and text-parsing integrated inspection systems for automated construction supervision.
Walkability and Built Environment Assessment
The built environment significantly impacts the physical well-being of pedestrians, particularly the elderly.
This research applies wearable sensing and deep learning techniques to quantitatively assess walkability, detect environmental barriers, and evaluate pedestrian satisfaction.
Our work contributes to evidence-based guidelines for designing age-friendly and accessible walking environments.
RESEARCH PROJECT
2025.08 - 2026.04 AI-Based Remote Architectural Safety and Monitoring Technology Development Planning
2023.10 - 2024.10 SK Hynix Yongin Semiconductor Cluster Environmental Improvement Study
- Sponsor: Yongin General Industrial Complex Co.
2023.04 - 2025.12 Wearable Sensor Data-Based Physical Fatigue and Gait Stability Assessment for the Elderly on Wooden Flooring
- Sponsor: Korea Forestry Promotion Institute
2023.04 - 2025.12 Validation of Domestic Wood-Based Flooring and Development of Design Guidelines
- Sponsor: Korea Forestry Promotion Institute
2023.04 - 2023.12 Compensation Criteria Development Study for Smart Technology Based on Improved Cost Estimation
- Sponsor: Korea Authority of Land & Infrastructure Safety (KALIS)
2022.10 - 2022.12 Building Management Act Safety Diagnosis Guideline Study
- Sponsor: Korea Authority of Land & Infrastructure Safety (KALIS)
2022.06 - 2025.02 CNN-Based Construction Hazard Identification Method Using Multi-Channel Data Fusion of Vision and Wearable Sensor
- Sponsor: National Research Foundation of Korea (NRF)
2022.04 - 2026.12 Development of Digital-Based Architectural Construction and Safety Supervision Technology
- Sponsor: Korea Agency for Infrastructure Technology Advancement (KAIA)
2022.03 - 2027.02 Creative Convergence Engineering Talent Cultivation Supporting Project for Intelligent Robot-Based Technology
- Sponsor: Korea Institute for Advancement of Technology (KIAT)
2021.06 - 2022.08 National Defense Military Facility Protection Standard Revision Study
- Sponsor: Military Finance Management Corps
2021.03 - 2022.02 4th Industrial Revolution Creative Convergence Engineer Cultivation
- Sponsor: Korea Institute for Advancement of Technology (KIAT)
2021.01 - 2022.12 Quantitative Satisfaction Assessment of Wooden Street Users Based on Human Sensor Data Analysis
- Sponsor: Korea Forestry Promotion Institute
2020.10 - 2021.06 Smart Construction Robot Technology Development Pre-Planning
- Sponsor: Korea Agency for Infrastructure Technology Advancement (KAIA)
2020.07 - 2021.07 Ballistic Protection Performance Basic Research
- Sponsor: Military Facilities Headquarters
2020.06 - 2023.12 Wearable-Based Manufacturing Process Data Platform Development
- Sponsor: Korea Institute for Advancement of Technology (KIAT)
2019.03 - 2022.02 LINC+ 4th Industrial Revolution Innovation-Leading University
- Sponsor: National Research Foundation of Korea (NRF)
2018.06 - 2022.05 Behavioral Analysis-Based Workers' Risk Perception Ability Monitoring Platform Using Wearable Sensing
- Sponsor: National Research Foundation of Korea (NRF)
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