Items with Index Term: activity recognition

Akhavian, Reza (2015) Data-driven simulation modeling of construction and infrastructure operations using process knowledge discovery. PhD thesis, University of Central Florida, USA.

Al Jassmi, H; Al Ahmad, M and Ahmed, S (2021) Automatic recognition of labor activity: A machine learning approach to capture activity physiological patterns using wearable sensors. Construction Innovation, 21(4), pp. 555-575. ISSN 1471-4175

Alipouri, Y; Bokharaeian, A and Monfared, E (2025) Construction labor activity recognition via an imu-implemented wristband. Journal of Construction Engineering and Management, 151(11): 04025182, ISSN 0733-9364

Antwi-Afari, M F; Li, H; Umer, W; Yu, Y and Xing, X (2020) Construction activity recognition and ergonomic risk assessment using a wearable insole pressure system. Journal of Construction Engineering and Management, 146(7): 04020077, ISSN 0733-9364

Bangaru, S S (2021) Fatigue monitoring through wearable sensors for construction workers. PhD thesis, Louisiana State University and Agricultural & Mechanical College, USA.

Gonsalves, N; Ogunseiju, O R and Akanmu, A A (2024) Activity recognition from trunk muscle activations for wearable and non-wearable robot conditions. Smart and Sustainable Built Environment, 13(6), pp. 1370-1385. ISSN 2046-6099

Karsten Winther, J; Nielsen, R; Schultz, C and Teizer, J (2021) Automated activity and progress analysis based on non-monotonic reasoning of construction operations. Smart and Sustainable Built Environment, 10(3), pp. 457-486. ISSN 2046-6099

Kim, K and Cho, Y K (2021) Automatic recognition of workers' motions in highway construction by using motion sensors and long short-term memory networks. Journal of Construction Engineering and Management, 147(3): 04020184, ISSN 0733-9364

Li, J.; Chen, Z.; Li, Z.; Kong, L. and Zhang, H. (2026) Integrating computer vision and audio signals for concrete vibration activity recognition and assessment. Journal of Construction Engineering and Management, 152(7): 04026099, ISSN 0733-9364

Li, J; Zhou, G; Li, D; Zhang, M and Zhao, X (2023) Recognizing workers' construction activities on a reinforcement processing area through the position relationship of objects detected by faster r-CNN. Engineering, Construction and Architectural Management, 30(4), pp. 1657-1678. ISSN 0969-9988

Liu, K and Golparvar-Fard, M (2015) Crowdsourcing construction activity analysis from jobsite video streams. Journal of Construction Engineering and Management, 141(11): 04015035, ISSN 0733-9364

Liu, Y (2017) Human-tool-interaction-based action recognition framework for automatic construction operation monitoring. PhD thesis, Texas A&M University, USA.

Luo, H (2021) Automated construction machine pose monitoring using computer vision and deep learning for construction site safety. PhD thesis, Hong Kong University of Science and Technology, Hong Kong.

Malekaee Ashtiyani, F; Karimi Gavareshki, M H and Gheidar-Kheljani, J (2026) AI-based multi-layer framework for monitoring productivity and coordinating subcontractors in construction projects. International Journal of Construction Management, 26(5), pp. 905-924. ISSN 1562-3599

Sherafat, B; Ahn, C R; Akhavian, R; Behzadan, A H; Golparvar-Fard, M; Kim, H; Lee, Y C; Rashidi, A and Azar, E R (2020) Automated methods for activity recognition of construction workers and equipment: State-of-the-art review. Journal of Construction Engineering and Management, 146(6): 0001843, ISSN 0733-9364

Sherafat, Behnam (2022) Acoustical modeling of construction jobsites with multiple operational machines for activity recognition and productivity analysis. PhD thesis, University of Utah, USA.

Yang, S; Guan, T; Wang, J; Wang, X and Ren, B (2025) Label scarcity- and class imbalance-aware current-based pipeline for concrete vibration activity recognition. Journal of Construction Engineering and Management, 151(10): 04025135, ISSN 0733-9364