| Convolutional long short-term memory model for recognizing construction workers’ postures from wearable inertial measurement units J Zhao, E Obonyo Advanced Engineering Informatics 46, 101177, 2020 | 56 | 2020 |
| Applying incremental Deep Neural Networks-based posture recognition model for ergonomics risk assessment in construction J Zhao, E Obonyo Advanced Engineering Informatics 50, 101374, 2021 | 31 | 2021 |
| Conceptual framework for risk propensity, risk perception, and risk behaviour of construction project managers W Wang, J Zhao, W Zhang, Y Wang Proceedings 31st Annual ARCOM Conference, Association of Researchers in …, 2015 | 26 | 2015 |
| Wearable inertial measurement unit sensing system for musculoskeletal disorders prevention in construction J Zhao, E Obonyo, S G. Bilén Sensors 21 (4), 1324, 2021 | 24 | 2021 |
| Towards a data-driven approach to injury prevention in construction J Zhao, E Obonyo Advanced Computing Strategies for Engineering: 25th EG-ICE International …, 2018 | 18 | 2018 |
| IoT-based sanitizer station network: A facilities management case study on monitoring hand sanitizer dispenser usage J Zhao, B Zhou, JP Butler, RG Bock, JP Portelli, SG Bilén Smart Cities 4 (3), 979-994, 2021 | 14 | 2021 |
| Convolutional Long Short-Term Memory Model for Recognizing Postures from Wearable Sensor. J Zhao, E Obonyo EG-ICE, 2018 | 8 | 2018 |
| E-health of Construction Works: A Proactive Injury Prevention Approach J Zhao, E Obonyo 2018 14th International Conference on Wireless and Mobile Computing …, 2018 | 2 | 2018 |
| Towards a real-time data-driven approach for proactive injury prevention in construction E Obonyo, J Zhao Advancements in Civil Engineering and Technology 2 (2), 2018 | 2 | 2018 |
| Success factors to large-scale adoption of wearable technology for musculoskeletal disorders (MSDs) prevention: a case study Q Yin, E Obonyo, A Eskandrani, J Zhao IOP Conference Series: Earth and Environmental Science 1101 (9), 092025, 2022 | 1 | 2022 |
| Improving posture recognition among construction workers through data augmentation with generative adversarial network J Zhao, E Obonyo, Q Yin IOP Conference Series: Earth and Environmental Science 1101 (9), 092005, 2022 | 1 | 2022 |
| Accelerating the Uptake of Advanced Digital Technologies for Health and Safety Management within Construction: Small and Medium Enterprises (SMEs) Q Yin, E Obonyo, J Zhao, A Eskandrani Computing in Civil Engineering 2021, 835-842, 2021 | | 2021 |
| Applying Incremental Deep Neural Networks-based Posture Recognition Model for Injury Risk Assessment in Construction J Zhao, E Obonyo arXiv preprint arXiv:2008.01679, 2020 | | 2020 |
| Towards a Proactive Real-Time Data-Driven Musculoskeletal Disorders Prevention Approach in Construction J Zhao The Pennsylvania State University, 2020 | | 2020 |
| Applying deep incremental learning-based posture recognition model for injury prevention in construction J Zhao, E Obonyo 27th EG-ICE International Workshop on Intelligent Computing in Engineering …, 2020 | | 2020 |
Esther ObonyoPenn State UniversityVerified email at psu.edu
