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Gaang Lee
Gaang Lee
Assistant Professor at the University of Alberta
Verified email at ualberta.ca
Title
Cited by
Cited by
Year
A BIM-and sensor-based tower crane navigation system for blind lifts
G Lee, J Cho, S Ham, T Lee, G Lee, SH Yun, HJ Yang
Automation in construction 26, 1-10, 2012
1882012
Assessment of construction workers’ perceived risk using physiological data from wearable sensors: A machine learning approach
G Lee, B Choi, H Jebelli, SH Lee
Journal of Building Engineering 42, 102824, 2021
1252021
Assessing occupational risk of heat stress at construction: A worker-centric wearable sensor-based approach
S Shakerian, M Habibnezhad, A Ojha, G Lee, Y Liu, H Jebelli, SH Lee
Safety science 142, 105395, 2021
1122021
Wearable biosensor and hotspot analysis–based framework to detect stress hotspots for advancing elderly’s mobility
G Lee, B Choi, CR Ahn, SH Lee
Journal of management in engineering 36 (3), 04020010, 2020
762020
Wearable biosensor and collective sensing–based approach for detecting older adults’ environmental barriers
G Lee, B Choi, H Jebelli, CR Ahn, SH Lee
Journal of Computing in Civil Engineering 34 (2), 04020002, 2020
472020
Noise reference signal–based denoising method for EDA collected by multimodal biosensor wearable in the field
G Lee, B Choi, H Jebelli, C Ryan Ahn, SH Lee
Journal of Computing in Civil Engineering 34 (6), 04020044, 2020
362020
Assessing exposure to slip, trip, and fall hazards based on abnormal gait patterns predicted from confidence interval estimation
H Lee, G Lee, SH Lee, CR Ahn
Automation in Construction 139, 104253, 2022
252022
Interpretable general thermal comfort model based on physiological data from wearable bio sensors: Light Gradient Boosting Machine (LightGBM) and SHapley Additive exPlanations …
H Kim, G Lee, H Ahn, B Choi
Building and Environment 266, 112127, 2024
212024
Effect of human emotional responses on human-robot team pty in construction
F Baek, D Kim, G Lee, B Choi, S Lee
Automation in construction 166, 105608, 2024
182024
Importance of testing with independent subjects and contexts for machine-learning models to monitor construction workers’ psychophysiological responses
G Lee, SH Lee
Journal of Construction Engineering and Management 148 (9), 04022082, 2022
172022
Feasibility of a mobile electroencephalogram (EEG) sensor-based stress type classification for construction workers
G Lee, SH Lee
Construction Research Congress 2022, 324-334, 2022
152022
Integrating the last planner system and immersive virtual reality: Exploring the social mechanisms produced by using LPS in projects
C Liu, VA González, G Lee, G Cabrera-Guerrero, Y Zou, R Davies
Journal of Construction Engineering and Management 150 (7), 04024070, 2024
132024
Reference signal-based method to remove respiration noise in electrodermal activity (EDA) collected from the field
G Lee, B Choi, H Jebelli, CR Ahn, SH Lee
ASCE International Conference on Computing in Civil Engineering 2019, 17-25, 2019
132019
Feasibility of wearable heart rate sensing-based whole-body physical fatigue monitoring for construction workers
G Lee, S Lee, G Brogmus
Canadian Society for Civil Engineering Annual Conference 2021, 2021
122021
Using Vision Language Models for Safety Hazard Identification in Construction
M Adil, G Lee, VA Gonzalez, Q Mei
arXiv preprint arXiv:2504.09083, 2025
112025
Wearable heart rate sensing and critical power-based whole-body fatigue monitoring in the field
G Lee, JH Bae, JV Jacobs, SH Lee
Applied Ergonomics 121, 104358, 2024
112024
Sensor adoption in the construction industry: Barriers, opportunities, and strategies
Z Wang, VA Gonzalez, Q Mei, G Lee
Automation in Construction 170, 105937, 2025
92025
Assessing workers perceived risk during construction task using a wristband-type biosensor
B Choi, G Lee, H Jebelli, SH Lee
arXiv preprint arXiv:1908.05133, 2019
92019
Time-series data clustering with load-shape preservation for identifying residential energy consumption behaviors
J Kim, K Song, G Lee, SH Lee
Energy and Buildings 311, 114130, 2024
82024
Evaluation of construction workers’ emotional states during virtual reality-based safety training
K Song, G Lee, SU Han, SH Lee
Construction Research Congress 2022, 660-669, 2022
82022
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Articles 1–20