International Journal Papers
2026
Hong, S., Lee, B., Kim, T., and Kim, H.* (2026). Hybrid continuous construction worker pose estimation under occlusion and missing data using ST-GCN and Kalman filtering. Advanced Engineering Informatics, 69, 104072.
2025
Hong, S., Kim, H.* (2025). Detecting environmental barriers affecting older adult pedestrians via Gramian angular field-based CNN of smartphone sensor data. Frontiers in Public Health, 13 (2025): 1697589.
Hong, S., Lee, B., & Kim, H.* (2025). Evaluating meta-transfer few-shot learning for construction equipment recognition: Impact of general vs. domain-specific pre-training. Automation in Construction, 178, 106410.
Yun, S., Hong, S., Hwang, S., Lee, D., & Kim, H. (2025). Analysis of masonry work activity recognition accuracy using a spatiotemporal graph convolutional network across different camera angles. Automation in Construction, 175, 106178.
Yang, S., & Kim, H.* (2025). Relationship-Based Ambient Detection for Concrete Pouring Verification: Improving Detection Accuracy in Complex Construction Environments. Applied Sciences, 15(12), 6499.
Oh, J., Hong, S., Choi, B., Ham, Y., & Kim, H.* (2025). Integrating text parsing and object detection for automated monitoring of finishing works in construction projects. Automation in Construction, 174, 106139.
Seo, M., & Kim, H.* (2025). Irregular Openings Identification at Construction Sites Based on Few-Shot Learning. Buildings, 15(11), 1834.
Yun, S., & Kim, H.* (2025). YOLOv8-SAMURAI: A Hybrid Tracking Framework for Ladder Worker Safety Monitoring in Occlusion Scenarios. Buildings, 15(11), 1836.
Jo, D., Cho, G. Y., Kang, K. I., & Kim, H.* (2025). Evaluation of Worker Fatigue During Exoskeleton-Assisted Tasks with Varying Intensities. Buildings, 15(9), 1503.
Yoon, S., & Kim, H.* (2025). Occlusion-aware worker detection in masonry work: Performance evaluation of YOLOv8 and SAMURAI. Applied Sciences, 15(7), 3991.
Oh, J., Cho, G. Y., & Kim, H.* (2025). Performance analysis of wearable robotic exoskeleton in construction tasks: Productivity and motion stability assessment. Applied Sciences, 15(7), 3808.
Yoon, S., & Kim, H.* (2025). Time-Series Image-Based Automated Monitoring Framework for Visible Facilities: Focusing on Installation and Retention Period. Sensors, 25(2), 574.
2024
Jo, D., & Kim, H.* (2024). Evaluating walkability across age groups and flooring materials using IMU sensors. Frontiers in Public Health, 12, 1509602.
Hong, S., Choi, B., Ham, Y., Jeon, J., & Kim, H.* (2024). Massive-Scale construction dataset synthesis through Stable Diffusion for Machine learning training. Advanced Engineering Informatics, 62, 102866.
Lee, B., & Kim, H.* (2024). Evaluating the effects of safety incentives on worker safety behavior control through image-based activity classification. Frontiers in Public Health, 12, 1430697.
Jo, D., & Kim, H.* (2024). The influence of fatigue, recovery, and environmental factors on the body stability of construction workers. Sensors, 24(11), 3469.
2023
Hong, S., Ham, Y., Chun, J., & Kim, H.* (2023). Productivity measurement through IMU-based detailed activity recognition using machine learning: a case study of masonry work. Sensors, 23(17), 7635.
Lee, B., Hong, S., & Kim, H.* (2023). Determination of workers' compliance to safety regulations using a spatio-temporal graph convolution network. Advanced Engineering Informatics, 56, 101942.
Hong, S., Yoon, J., Ham, Y., Lee, B., & Kim, H.* (2023). Monitoring safety behaviors of scaffolding workers using Gramian angular field convolution neural network based on IMU sensing data. Automation in Construction, 148, 104748.
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