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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
1572012
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
502021
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
412020
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
352021
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
292020
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
112020
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
82019
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
72022
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
52022
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
52019
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
42021
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
42012
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
32022
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
22022
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
22019
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
12023
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
12021
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
12020
Application of Dijkstra’s algorithm in the evacuation system utilizing exit signs
J Cho, G Lee, J Won, E Ryu
International symposium on automation and robotics in construction and …, 2014
12014
Paired electrodes-and contraint independent components analysis-based denoising to alleivate motion artifacts in electroencephalogram collected at construction sites
G Lee, J Bae, SH Lee
EC3 Conference 2022 3, 0-0, 2022
2022
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