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Waleed Umer
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The prevalence of musculoskeletal symptoms in the construction industry: a systematic review and meta-analysis
W Umer, MF Antwi-Afari, H Li, GPY Szeto, AYL Wong
International archives of occupational and environmental health 91 (2), 125-144, 2018
792018
Identification of biomechanical risk factors for the development of lower-back disorders during manual rebar tying
W Umer, H Li, GPY Szeto, AYL Wong
Journal of Construction Engineering and Management 143 (1), 04016080, 2017
772017
Identification and classification of construction equipment operators' mental fatigue using wearable eye-tracking technology
J Li, H Li, W Umer, H Wang, X Xing, S Zhao, J Hou
Automation in Construction 109, 103000, 2020
702020
Evaluating the impact of mental fatigue on construction equipment operators' ability to detect hazards using wearable eye-tracking technology
J Li, H Li, H Wang, W Umer, H Fu, X Xing
Automation in construction 105, 102835, 2019
622019
Development of a tool to monitor static balance of construction workers for proactive fall safety management
W Umer, H Li, W Lu, GPY Szeto, AYL Wong
Automation in Construction 94, 438-448, 2018
462018
Automatic biomechanical workload estimation for construction workers by computer vision and smart insoles
Y Yu, H Li, W Umer, C Dong, X Yang, M Skitmore, AYL Wong
Journal of Computing in Civil Engineering 33 (3), 04019010, 2019
372019
Low-cost ergonomic intervention for mitigating physical and subjective discomfort during manual rebar tying
W Umer, H Li, GPY Szeto, AYL Wong
Journal of Construction Engineering and Management 143 (10), 04017075, 2017
342017
Exploring the injury severity risk factors in fatal crashes with neural network
A Jamal, W Umer
International Journal of Environmental Research and Public Health 17 (20), 7466, 2020
282020
Physical exertion modeling for construction tasks using combined cardiorespiratory and thermoregulatory measures
W Umer, H Li, Y Yantao, MF Antwi-Afari, S Anwer, X Luo
Automation in Construction 112, 103079, 2020
242020
Evaluation of physiological metrics as real-time measurement of physical fatigue in construction workers: State-of-the-art review
S Anwer, H Li, MF Antwi-Afari, W Umer, AYL Wong
Journal of Construction Engineering and Management 147 (5), 2021
222021
Construction activity recognition and ergonomic risk assessment using a wearable insole pressure system
MF Antwi-Afari, H Li, W Umer, Y Yu, X Xing
Journal of Construction Engineering and Management 146 (7), 04020077, 2020
212020
Proactive safety measures: Quantifying the upright standing stability after sustained rebar tying postures
W Umer, H Li, GPY Szeto, AYL Wong
Journal of Construction Engineering and Management 144 (4), 04018010, 2018
202018
Posture-related data collection methods for construction workers: A review
Y Yu, W Umer, X Yang, MF Antwi-Afari
Automation in Construction 124, 103538, 2021
132021
ESTIMATING CONSTRUCTION WORKERS'PHYSICAL WORKLOAD BY FUSING COMPUTER VISION AND SMART INSOLE TECHNOLOGIES
Y Yu, H Li, X Yang, W Umer
ISARC. Proceedings of the International Symposium on Automation and Robotics …, 2018
132018
Cardiorespiratory and thermoregulatory parameters are good surrogates for measuring physical fatigue during a simulated construction task
S Anwer, H Li, MF Antwi-Afari, W Umer, AYL Wong
International Journal of Environmental Research and Public Health 17 (15), 5418, 2020
82020
Performance evaluation of plastic concrete modified with e-waste plastic as a partial replacement of coarse aggregate
F Ahmad, A Jamal, KM Mazher, W Umer, M Iqbal
Materials 15 (1), 175, 2021
72021
Use of Ultra Wide Band Real-Time Location System on Construction Jobsites: Feasibility Study and Deployment Alternatives
W Umer, MK Siddiqui
International Journal of Environmental Research and Public Health 17 (7), 2020
62020
Quantifying the effect of mental stress on physical stress for construction tasks
W Umer, Y Yu, MF Antwi Afari
Journal of Construction Engineering and Management 148 (3), 2022
52022
Sensors based physical exertion monitoring for construction tasks: comparison between traditional physiological and heart rate variability based metrics
W Umer
42020
Deep learning-based networks for automated recognition and classification of awkward working postures in construction using wearable insole sensor data
MF Antwi-Afari, Y Qarout, R Herzallah, S Anwer, W Umer, Y Zhang, ...
Automation in Construction 136, 104181, 2022
32022
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Articles 1–20