JoonOh Seo
Cited by
Cited by
Computer vision techniques for construction safety and health monitoring
JO Seo, SU Han, SH Lee, H Kim
Advanced Engineering Informatics 29 (2), 239-251, 2015
Biomechanical analysis of risk factors for work-related musculoskeletal disorders during repetitive lifting task in construction workers
MF Antwi-Afari, H Li, DJ Edwards, EA Pärn, J Seo, AYL Wong
Automation in Construction 83, 41-47, 2017
Recognizing diverse construction activities in site images via relevance networks of construction-related objects detected by convolutional neural networks
X Luo, H Li, D Cao, F Dai, J Seo, S Lee
Journal of Computing in Civil Engineering 32 (3), 04018012, 2018
An automated biomechanical simulation approach to ergonomic job analysis for workplace design
A Golabchi, SH Han, JO Seo, SU Han, SH Lee, M Al-Hussein
Journal of Construction Engineering and Management 141 (8), 04015020, 2015
Motion data-driven biomechanical analysis during construction tasks on sites
JO Seo, R Starbuck, SU Han, SH Lee, TJ Armstrong
Journal of Computing in Civil Engineering 29 (4), B4014005, 2015
Feasibility analysis of heart rate monitoring of construction workers using a photoplethysmography (PPG) sensor embedded in a wristband-type activity tracker
S Hwang, JO Seo, H Jebelli, SH Lee
Automation in construction 71, 372-381, 2016
Development of ergonomic posture recognition technique based on 2D ordinary camera for construction hazard prevention through view-invariant features in 2D skeleton motion
X Yan, H Li, C Wang, JO Seo, H Zhang, H Wang
Advanced Engineering Informatics 34, 152-163, 2017
Transaction-cost-based selection of appropriate general contractor-subcontractor relationship type
H Lee, J Seo, M Park, H Ryu, S Kwon
Journal of Construction Engineering and Management 135 (11), 1232-1240, 2009
Automated action recognition using an accelerometer-embedded wristband-type activity tracker
JH Ryu, JO Seo, H Jebelli, SH Lee
Journal of construction engineering and management 145 (1), 04018114, 2019
Simulation-based assessment of workers’ muscle fatigue and its impact on construction operations
JO Seo, SH Lee, J Seo
Journal of Construction Engineering and Management 142 (11), 04016063, 2016
A study on the development of a cost model based on the owner's decision making at the early stages of a construction project
CW Koo, TH Hong, CT Hyun, SH Park, J Seo
International Journal of Strategic Property Management 14 (2), 121-137, 2010
A stereo vision-based approach to marker-less motion capture for on-site kinematic modeling of construction worker tasks
R Starbuck, JO Seo, SU Han, SH Lee
Computing in Civil and Building Engineering (2014), 1094-1101, 2014
Action recognition using a wristband-type activity tracker: Case study of masonry work
J Ryu, JO Seo, M Liu, SH Lee, CT Haas
Construction Research Congress 2016, 790-799, 2016
Automated detection and classification of construction workers' loss of balance events using wearable insole pressure sensors
MF Antwi-Afari, H Li, JO Seo, AYL Wong
Automation in Construction 96, 189-199, 2018
A comparative study of in-field motion capture approaches for body kinematics measurement in construction
JO Seo, A Alwasel, SH Lee, EM Abdel-Rahman, C Haas
Robotica 37 (5), 928-946, 2019
Identification of potential biomechanical risk factors for low back disorders during repetitive rebar lifting
MF Antwi-Afari, H Li, DJ Edwards, EA Pärn, DG Owusu-Manu, J Seo, ...
Construction Innovation, 2018
Automated postural ergonomic assessment using a computer vision-based posture classification
JO Seo, K Yin, SH Lee
Construction research congress 2016, 809-818, 2016
Effects of different weights and lifting postures on balance control following repetitive lifting tasks in construction workers
MF Antwi-Afari, H Li, DJ Edwards, EA Pärn, JO Seo, A Wong
International Journal of Building Pathology and Adaptation, 2017
Sensing and warning-based technology applications to improve occupational health and safety in the construction industry
MF Antwi-Afari, H Li, JKW Wong, OT Oladinrin, JX Ge, JO Seo, AYL Wong
Engineering, Construction and Architectural Management, 2019
Towards a well-planned, activity-based work environment: Automated recognition of office activities using accelerometers
SH Cha, J Seo, SH Baek, C Koo
Building and Environment 144, 86-93, 2018
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