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 | 259 | 2019 |
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 | 209 | 2016 |
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 | 143 | 2017 |
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 | 85 | 2017 |
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 | 75 | 2014 |
Deep learning-based classification of work-related physical load levels in construction K Yang, CR Ahn, H Kim Advanced Engineering Informatics 45, 101104, 2020 | 70 | 2020 |
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 | 69 | 2020 |
Validating ambulatory gait assessment technique for hazard sensing in construction environments K Yang, CR Ahn, H Kim Automation in Construction 98, 302-309, 2019 | 53 | 2019 |
Inferring workplace safety hazards from the spatial patterns of workers’ wearable data K Yang, CR Ahn Advanced Engineering Informatics 41, 100924, 2019 | 52 | 2019 |
A people-centric sensing approach to detecting sidewalk defects H Kim, CR Ahn, K Yang Advanced engineering informatics 30 (4), 660-671, 2016 | 45 | 2016 |
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 | 42 | 2015 |
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 | 26 | 2022 |
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 | 18 | 2021 |
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 | 17 | 2022 |
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 | 16 | 2016 |
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 | 11 | 2018 |
Tracking Divergence in Workers’ Trajectory Patterns for Hazard Sensing in Construction K Yang, CR Ahn, H Kim Construction Research Congress 2018, 126-133, 2018 | 9 | 2018 |
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 | 8 | 2017 |
Mobile Device-Based Struck-By Hazard Recognition in Construction Using a High-Frequency Sound J Lee, K Yang Sensors 22 (9), 3482, 2022 | 7 | 2022 |
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 | 7 | 2017 |