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Kanghyeok Yang
Kanghyeok Yang
School of Architecture, Chonnam National University
Verified email at jnu.ac.kr
Title
Cited by
Cited by
Year
Wearable sensing technology applications in construction safety and health
CR Ahn, SH Lee, C Sun, H Jebelli, K Yang, B Choi
Journal of Construction Engineering and Management 145 (11), 03119007, 2019
2102019
Semi-supervised near-miss fall detection for ironworkers with a wearable inertial measurement unit
K Yang, CR Ahn, MC Vuran, SS Aria
Automation in construction 68, 194-202, 2016
1882016
Collective sensing of workers' gait patterns to identify fall hazards in construction
K Yang, CR Ahn, MC Vuran, H Kim
Automation in construction 82, 166-178, 2017
1332017
Identifying safety hazards using collective bodily responses of workers
H Kim, CR Ahn, K Yang
Journal of Construction Engineering and Management 143 (2), 04016090, 2017
742017
Automated detection of near-miss fall incidents in iron workers using inertial measurement units
K Yang, S Aria, CR Ahn, TL Stentz
Construction Research Congress 2014: Construction in a Global Network, 935-944, 2014
692014
Detecting excessive load-carrying tasks using a deep learning network with a Gramian Angular Field
H Lee, K Yang, N Kim, CR Ahn
Automation in Construction 120, 103390, 2020
592020
Deep learning-based classification of work-related physical load levels in construction
K Yang, CR Ahn, H Kim
Advanced Engineering Informatics 45, 101104, 2020
582020
Inferring workplace safety hazards from the spatial patterns of workers’ wearable data
K Yang, CR Ahn
Advanced Engineering Informatics 41, 100924, 2019
462019
Validating ambulatory gait assessment technique for hazard sensing in construction environments
K Yang, CR Ahn, H Kim
Automation in Construction 98, 302-309, 2019
462019
A people-centric sensing approach to detecting sidewalk defects
H Kim, CR Ahn, K Yang
Advanced engineering informatics 30 (4), 660-671, 2016
402016
Threshold-based approach to detect near-miss falls of iron workers using inertial measurement units
K Yang, H Jebelli, CR Ahn, MC Vuran
Computing in Civil Engineering 2015, 148-155, 2015
372015
Sensing workers gait abnormality for safety hazard identification
K Yang, CR Ahn, MC Vuran, H Kim
ISARC. Proceedings of the International Symposium on Automation and Robotics …, 2016
152016
Wearable acceleration-based action recognition for long-term and continuous activity analysis in construction site
Y Gong, K Yang, JO Seo, JG Lee
Journal of Building Engineering 52, 104448, 2022
142022
Towards effective safety cost budgeting for apartment construction: A case study of occupational safety and health expenses in South Korea
K Yang, K Kim, S Go
Sustainability 13 (3), 1335, 2021
112021
Assessing the Effects of Tool-Loading Formation on Construction Workers’ Postural Stability
H Jebelli, K Yang, MM Khalili, CR Ahn, T Stentz
Construction Research Congress 2018, 292-302, 2018
112018
Tracking Divergence in Workers’ Trajectory Patterns for Hazard Sensing in Construction
K Yang, CR Ahn, H Kim
Construction Research Congress 2018, 126-133, 2018
92018
Highly ductile behavior and sustainability of engineered cementitious composites reinforced by PE based selvage fibers
JI Choi, SE Park, YM Kim, K Yang, YY Kim, BY Lee
Cement and Concrete Composites 134, 104729, 2022
82022
Deciphering workers’ safety attitudes by sensing gait patterns
C Sun, CR Ahn, K Yang, T Stentz, H Kim
Digital Human Modeling. Applications in Health, Safety, Ergonomics, and Risk …, 2017
72017
Analyzing Spatial Patterns of Workers’ Gait Cycles for Locating Latent Fall Hazards
K Yang, C Ahn, MC Vuran, H Kim
Computing in Civil Engineering 2017, 458-466, 2017
72017
A Near-Miss Fall Detection Technique for Ironworkers Using a Hybrid Machine Learning Approach
K Yang, H Kim, CR Ahn, TL Stentz
16th International Conference on Computing in Civil and Building Engineering …, 2016
6*2016
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