Items with Index Term: wearable sensor

Akanmu, A; Olayiwola, J and Olatunji, O A (2020) Musculoskeletal disorders within the carpentry trade: Analysis of timber flooring subtasks. Engineering, Construction and Architectural Management, 27(9), pp. 2577-2590. ISSN 0969-9988

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

Anwer, S; Li, H; Antwi-Afari, M F; Umer, W; Mehmood, I and Wong, A Y L (2022) Effects of load carrying techniques on gait parameters, dynamic balance, and physiological parameters during a manual material handling task. Engineering, Construction and Architectural Management, 29(9), pp. 3415-3438. ISSN 0969-9988

Anwer, S; Li, H; Umer, W; Antwi-Afari, M F; Mehmood, I; Yu, Y; Haas, C and Wong, A Y L (2023) Identification and classification of physical fatigue in construction workers using linear and nonlinear heart rate variability measurements. Journal of Construction Engineering and Management, 149(7): 04023057, ISSN 0733-9364

Awolusi, I G (2017) Active construction safety leading indicator data collection and evaluation. PhD thesis, University of Alabama, USA.

Baek, F; Sohn, J; Bae, J; Kim, D and Lee, S (2026) Physical, cognitive, and emotional responses and their interrelated effects on human-robot team performance in construction. Journal of Construction Engineering and Management, 152(1): 04025224, 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.

Bangaru, S S; Wang, C; Zhou, X; Jeon, H W and Li, Y (2020) Gesture recognition-based smart training assistant system for construction worker earplug-wearing training. Journal of Construction Engineering and Management, 146(12): 04020144, ISSN 0733-9364

Chellappa, V and Luximon, Y (2026) Computer-aided technologies for posture-based ergonomic risk assessment in construction: A systematic review. International Journal of Construction Management, 26(2), pp. 316-331. ISSN 1562-3599

Cheng, M. Y. and Vu, Q. T. (2026) Bidirectional revolving gate Fourier transform: A newly spectrum deep machine learning for enhancing construction worker safety classification. Engineering, Construction and Architectural Management, pp. 1-28. ISSN 0969-9988

Cheng, M. Y. and Vu, Q. T. (2026) Bidirectional revolving gate Fourier transform: A newly spectrum deep machine learning for enhancing construction worker safety classification. Engineering, Construction and Architectural Management, pp. 1-28. ISSN 0969-9988

Grey Rodriguez, F C (2019) Space-mate: A framework to harmonize occupant well-being and building sustainability. PhD thesis, Stanford University, USA.

Heravi, M Y; Jang, Y and Chauhan, H (2025) Comparative analysis of deep-learning approaches for automatic recognition of awkward postures in construction environments through wrist-worn biosensors. Journal of Construction Engineering and Management, 151(8): 04025108, ISSN 0733-9364

Ibrahim, Abdullahi Alabi (2024) Construction workers' situational awareness: Investigating the role of physical fatigue, workplace dynamism, and emerging technologies. PhD thesis, Texas A&M University, USA.

Jebelli, H; Choi, B and Lee, S H (2019) Application of wearable biosensors to construction sites. I: Assessing workers' stress. Journal of Construction Engineering and Management, 145(12): 04019079, ISSN 0733-9364

Lee, J and Ham, Y (2021) Physiological sensing-driven personal thermal comfort modelling in consideration of human activity variations. Building Research & Information, 49(5), pp. 512-524. ISSN 0961-3218

Lee, W (2018) Use of wearable sensors to unveil roles of task demands-personal resources and burnout on performance of construction workers. PhD thesis, University of Washington, USA.

Lee, W; Lin, K Y; Johnson, P W and Seto, E Y W (2022) Selection of wearable sensor measurements for monitoring and managing entry-level construction worker fatigue: A logistic regression approach. Engineering, Construction and Architectural Management, 29(8), pp. 2905-2923. ISSN 0969-9988

Lingard, H; Raj, I S; Lythgo, N; Troynikov, O and Fitzgerald, C (2019) The impact of tool selection on back and wrist injury risk in tying steel reinforcement bars: A single case experiment. Construction Economics and Building, 19(1), pp. 1-19. ISSN 2204-9029

Liu, Y (2023) Worker-centric human-robot co-adaptation in construction. PhD thesis, Pennsylvania State University, USA.

Obasa, A J; Akinradewo, O F and Olanipekun, A O (2024) Impact of technologies towards addressing stress-related problems among practicing quantity surveyors in Lagos, Nigeria. International Journal of Construction Management, 24(6), pp. 623-632. ISSN 1562-3599

Ogunseiju, O R; Olayiwola, J; Akanmu, A A and Nnaji, C (2022) Recognition of workers' actions from time-series signal images using deep convolutional neural network. Smart and Sustainable Built Environment, 11(4), pp. 812-831. ISSN 2046-6099

Shehab, L; Lee, G and Hamzeh, F (2026) Minds at work: A design for an experimental approach to assessing cognitive abilities in construction. Journal of Construction Engineering and Management, 152(1): 04025221, ISSN 0733-9364

Sherratt, F; Wong, P and Sherratt, S (2024) What we really know about wearable sensor technologies for construction OSHW. Proceedings of Institution of Civil Engineers: Management, Procurement and Law, 177(4), pp. 253-263. ISSN 17514304

Spataru, C and Gauthier, S (2014) How to monitor people 'smartly' to help reducing energy consumption in buildings? Architectural Engineering and Design Management, 10(1-2), pp. 60-78. ISSN 1745-2007

Sun, C; Ahn, S and Ahn, C R (2020) Identifying workers' safety behavior-related personality by sensing. Journal of Construction Engineering and Management, 146(7): 04020078, ISSN 0733-9364

Wang, L; Wang, J; Li, H; Han, S; Zhang, M; Yang, X and Guo, N (2026) Noncontact physiological evaluation of cognitive load among prolonged sitting workers using millimeter wave sensing. Journal of Construction Engineering and Management, 152(3): 04025280, ISSN 0733-9364

Wang, D; Dai, F and Ning, X (2015) Risk assessment of work-related musculoskeletal disorders in construction: State-of-the-art review. Journal of Construction Engineering and Management, 141(6): 04015008, ISSN 0733-9364

Wang, X (2024) Context-aware worker intent interpretation for human-robot collaboration in construction. PhD thesis, University of Wisconsin - Madison, USA.

Xiahou, X; Li, Z; Xia, J; Zhou, Z and Li, Q (2023) A feature-level fusion-based multimodal analysis of recognition and classification of awkward working postures in construction. Journal of Construction Engineering and Management, 149(12): 04023138, ISSN 0733-9364

Yang, X; Jefferson, W and Bulbul, T (2025) Evaluation of construction worker perceptions of wearable proximity sensors during the COVID-19 pandemic. Journal of Construction Engineering and Management, 151(3): 04024217, ISSN 0733-9364