| 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 | 175 | 2012 |
| 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 | 82 | 2021 |
| 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 | 70 | 2021 |
| 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 | 56 | 2020 |
| 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 | 37 | 2020 |
| 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 | 19 | 2020 |
| 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 | 14 | 2022 |
| 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 | 12 | 2022 |
| 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 | 11 | 2019 |
| 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 | 9 | 2022 |
| 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 | 7 | 2021 |
| 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 | 6 | 2022 |
| 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 | 5 | 2019 |
| Feasibility of wearable-based collective sensing to detect environmental barriers for facilitating the elderly’s mobility G Lee, B Choi, CR Ahn, S Lee International Conference on Smart Infrastructure and Construction 2019 …, 2019 | 4 | 2019 |
| Field applicability and feasibility of the automated non-powered multi-beam lifting system G Lee, G Lee, T Lee Automation in construction 28, 26-35, 2012 | 4 | 2012 |
| 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 | 3 | 2024 |
| Online Multi-Task Learning and Wearable Biosensor-based Detection of Multiple Seniors’ Stress in Daily Interaction with the Urban Environment G Lee, H Jebelli, SH Lee | 3 | 2020 |
| Collective Sensing of Workers’ Loss of Body Balance for Slip, Trip, and Fall Hazard Identification: Field Validation Study H Lee, G Lee, S Park, SH Lee, JV Jacobs, CR Ahn Journal of Computing in Civil Engineering 37 (1), 04022052, 2023 | 2 | 2023 |
| Assessing exposure to slip, trip, and fall hazards by measuring construction worker loss of balance H Lee, G Lee, SH Lee, CR Ahn Computing in Civil Engineering 2021, 66-73, 2021 | 2 | 2021 |
| 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 | 1 | 2024 |
