{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T14:56:01Z","timestamp":1775832961019,"version":"3.50.1"},"reference-count":112,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2020,9,23]],"date-time":"2020-09-23T00:00:00Z","timestamp":1600819200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"CONSTRUCT - Instituto de I&amp;D em Estruturas e Constru\u00e7\u00f5es - funded by national funds through the FCT\/MCTES (PIDDAC)","award":["UIDB\/04708\/2020"],"award-info":[{"award-number":["UIDB\/04708\/2020"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Buildings"],"abstract":"<jats:p>The digitalization of the construction industry (CI) has the aim\u2014among others\u2014to raise the bar of overall productivity. The craft workforce is very relevant on the overall value-chain. Therefore, a boost in this dimension impacts the entire sector. There is a gap in proper methodologies to measure and model productivity. Construction 4.0 novelties provide new approaches for its evaluation and progress. This communication presents a review of workforce productivity assessment and delivers methods focusing primarily on craft workers motion monitoring. Products and services opportunities from Construction 4.0 in the spectrum of craft workforce management include support by embedded sensors for data collection that allow near real-time monitoring. The work developed led to the systematization of a framework to standardize craft workers\u2019 motion productivity. The craft workforce motion productivity framework, Worker 4.0, tenders nine processes integrated on a flowchart to streamline task processes assessment and mechanization level. It also sets up a two-handed\/two-legged chart system to model craft workers\u2019 activities and operations. The contributions to the body of knowledge are substantiated on the framework creation with the ability to model and assess craft workforce performance. This approach is meant to serve as base point for different stakeholders focusing on skills, efficiency, mechanization and productivity improvements.<\/jats:p>","DOI":"10.3390\/buildings10100169","type":"journal-article","created":{"date-parts":[[2020,9,23]],"date-time":"2020-09-23T09:28:08Z","timestamp":1600853288000},"page":"169","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":70,"title":["Worker 4.0: The Future of Sensored Construction Sites"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9893-0377","authenticated-orcid":false,"given":"Diego","family":"Calvetti","sequence":"first","affiliation":[{"name":"CONSTRUCT\/GEQUALTEC, Faculty of Engineering, Porto University, 4200-465 Porto, Portugal"}]},{"given":"Pedro","family":"M\u00eada","sequence":"additional","affiliation":[{"name":"CONSTRUCT\/GEQUALTEC, Construction Institute, Faculty of Engineering, Porto University, 4200-465 Porto, Portugal"}]},{"given":"Miguel","family":"Chichorro Gon\u00e7alves","sequence":"additional","affiliation":[{"name":"CONSTRUCT\/GEQUALTEC, Faculty of Engineering, Porto University, 4200-465 Porto, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8335-0898","authenticated-orcid":false,"given":"Hip\u00f3lito","family":"Sousa","sequence":"additional","affiliation":[{"name":"CONSTRUCT\/GEQUALTEC, Faculty of Engineering, Porto University, 4200-465 Porto, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2020,9,23]]},"reference":[{"key":"ref_1","unstructured":"Desruelle, P., Baldini, G., Barboni, M., Bono, F., Delipetrev, B., Duch Brown, N., Fernandez Macias, E., Gkoumas, K., Joossens, E., and Kalpaka, A. (2019). Digital Transformation in Transport, Construction, Energy, Government and Public Administration, Publications Office of the European Union. EUR 29782 EN."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1016\/j.aei.2015.01.011","article-title":"Construction Performance Monitoring via Still Images, Time-Lapse Photos, and Video Streams: Now, Tomorrow, and the Future","volume":"29","author":"Yang","year":"2015","journal-title":"Adv. Eng. Inform."},{"key":"ref_3","unstructured":"Freivalds, A. (2009). Niebel\u2019s Methods, Standards, and Work Design, Mcgraw-Hill Higher Education."},{"key":"ref_4","unstructured":"Groover, M.P. (2007). Work Systems and the Methods, Measurement, and Management of Work, Pearson Prentice Hall."},{"key":"ref_5","unstructured":"Sink, D.S. (1985). Productivity Management: Planning, Measurement and Evaluation, Control, and Improvement, John Wiley & Sons."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1016\/j.autcon.2012.08.003","article-title":"Automated Task-Level Activity Analysis through Fusion of Real Time Location Sensors and Worker\u2019s Thoracic Posture Data","volume":"29","author":"Cheng","year":"2013","journal-title":"Autom. Constr."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"1211","DOI":"10.1016\/j.autcon.2011.05.005","article-title":"An Object Recognition, Tracking, and Contextual Reasoning-Based Video Interpretation Method for Rapid Productivity Analysis of Construction Operations","volume":"20","author":"Gong","year":"2011","journal-title":"Autom. Constr."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1016\/j.autcon.2014.08.003","article-title":"Vision-Based Workface Assessment Using Depth Images for Activity Analysis of Interior Construction Operations","volume":"48","author":"Khosrowpour","year":"2014","journal-title":"Autom. Constr."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Mani, N., Kisi, K.P., Rojas, E.M., and Foster, E.T. (2017). Estimating Construction Labor Productivity Frontier: Pilot Study. J. Constr. Eng. Manag., 143.","DOI":"10.1061\/(ASCE)CO.1943-7862.0001390"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"154","DOI":"10.1016\/j.autcon.2017.03.003","article-title":"Monitoring Fatigue in Construction Workers Using Physiological Measurements","volume":"82","author":"Aryal","year":"2017","journal-title":"Autom. Constr."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"207","DOI":"10.1016\/j.autcon.2017.06.001","article-title":"The Availability of Wearable-Device-Based Physical Data for the Measurement of Construction Workers\u2019 Psychological Status on Site: From the Perspective of Safety Management","volume":"82","author":"Guo","year":"2017","journal-title":"Autom. Constr."},{"key":"ref_12","unstructured":"Leaps, S.R.O. (2020, July 30). Social Distancing Monitor|LEAPS. Available online: https:\/\/www.leapslabs.com\/sdm."},{"key":"ref_13","unstructured":"RIBA (2020). The RIBA Plan of Work 2020, RIBA Architecture."},{"key":"ref_14","unstructured":"M\u00eada, P., Hjelseth, E., and Sousa, H. (2016). Construction Information Framework\u2014The Role of Classification Systems. eWork and eBusiness in Architecture, Engineering and Construction, Proceedings of the 11th European Conference on Product and Process Modelling (ECPPM 2016), Limassol, Cyprus, 7\u20139 September 2016, CRC Press."},{"key":"ref_15","unstructured":"Kumar, B., Rahimian, F., Greenwood, D., and Hartmann, T. (2019, January 18\u201320). Sensing Technologies Embedding Construction Workers Outcomes\/Key Performance Indicators. Proceedings of the 36th CIB W78 2019 Conference: Advances in ICT in Design, Construction and Management in Architecture, Engineering, Construction and Operations (AECO), Newcastle, UK. ISBN (Print) 9781861354877, ISBN (eBook) 9781861354860."},{"key":"ref_16","unstructured":"ISO 12006-2 (2015). ISO 12006-2:2015 Building Construction\u2014Organization of Information about Construction Works\u2014Part 2: Framework for Classification, International Organization for Standardization."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1061\/(ASCE)0733-9364(1986)112:1(90)","article-title":"Work Sampling Can Predict Unit Rate Productivity","volume":"112","author":"Liou","year":"1986","journal-title":"J. Constr. Eng. Manag."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Akhavian, R., and Behzadan, A. (2016, January 6\u20139). Wearable Sensor-Based Activity Recognition for Data-Driven Simulation of Construction Workers\u2019 Activities. Proceedings of the Proceedings\u2014Winter Simulation Conference, Huntington Beach, CA, USA.","DOI":"10.1109\/WSC.2015.7408495"},{"key":"ref_19","unstructured":"Akhavian, R., Brito, L., and Behzadan, A. (2015, January 2\u20133). Integrated Mobile Sensor-Based Activity Recognition of Construction Equipment and Human Crews. Proceedings of the Conference on Autonomous and Robotic Construction of Infrastructure, Ames, IA, USA."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"198","DOI":"10.1016\/j.autcon.2016.08.015","article-title":"Smartphone-Based Construction Workers\u2019 Activity Recognition and Classification","volume":"71","author":"Akhavian","year":"2016","journal-title":"Autom. Constr."},{"key":"ref_21","first-page":"1","article-title":"Coupling Human Activity Recognition and Wearable Sensors for Data-Driven Construction Simulation","volume":"23","author":"Akhavian","year":"2018","journal-title":"J. Inf. Technol. Constr."},{"key":"ref_22","unstructured":"Akhavian, R., and Behzadan, A.H. (2016, January 6\u20138). Productivity Analysis of Construction Worker Activities Using Smartphone Sensors. Proceedings of the 16th International Conference on Computing in Civil and Building Engineering (ICCCBE), Osaka, Japan."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Zhang, M., Chen, S., Zhao, X., and Yang, Z. (2018). Research on Construction Workers\u2019 Activity Recognition Based on Smartphone. Sensors, 18.","DOI":"10.3390\/s18082667"},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Zheng, X., Wang, M., and Ordieres-Mer\u00e9, J. (2018). Comparison of Data Preprocessing Approaches for Applying Deep Learning to Human Activity Recognition in the Context of Industry 4.0. Sensors, 18.","DOI":"10.3390\/s18072146"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1159","DOI":"10.1016\/j.promfg.2018.07.152","article-title":"Worker Activity Recognition in Smart Manufacturing Using IMU and SEMG Signals with Convolutional Neural Networks","volume":"26","author":"Tao","year":"2018","journal-title":"Procedia Manuf."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Ord\u00f3\u00f1ez, F.J., and Roggen, D. (2016). Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition. Sensors, 16.","DOI":"10.3390\/s16010115"},{"key":"ref_27","unstructured":"Juhyeong, R., Seo, J., Liu, M., Lee, S., and Haas, C.T. (2016). Action Recognition Using a Wristband-Type Activity Tracker: Case Study of Masonry Work. Construction Research Congress 2016, ASCE."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"04018114","DOI":"10.1061\/(ASCE)CO.1943-7862.0001579","article-title":"Automated Action Recognition Using an Accelerometer-Embedded Wristband-Type Activity Tracker","volume":"145","author":"Ryu","year":"2019","journal-title":"J. Constr. Eng. Manag."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Joshua, L., and Varghese, K. (2012). Classification of Bricklaying Activities in Work Sampling Categories Using Accelerometers. Construction Research Congress 2012: Construction Challenges in a Flat World, ASCE.","DOI":"10.1061\/9780784412329.093"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"841","DOI":"10.1108\/IJPPM-05-2013-0099","article-title":"Automated Recognition of Construction Labour Activity Using Accelerometers in Field Situations","volume":"63","author":"Joshua","year":"2014","journal-title":"Int. J. Product. Perform. Manag."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"370","DOI":"10.1061\/(ASCE)CP.1943-5487.0000097","article-title":"Accelerometer-Based Activity Recognition in Construction","volume":"25","author":"Joshua","year":"2011","journal-title":"J. Comput. Civ. Eng."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Qi, B., Razkenari, M., Li, J., Costin, A., Kibert, C., and Qian, S. (2020). Investigating U.S. Industry Practitioners\u2019 Perspectives towards the Adoption of Emerging Technologies in Industrialized Construction. Buildings, 10.","DOI":"10.3390\/buildings10050085"},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Moradi, S., K\u00e4hk\u00f6nen, K., and Aaltonen, K. (2020). Project Managers\u2019 Competencies in Collaborative Construction Projects. Buildings, 10.","DOI":"10.3390\/buildings10030050"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1061\/(ASCE)CP.1943-5487.0000115","article-title":"Automated Trajectory and Path Planning Analysis Based on Ultra Wideband Data","volume":"26","author":"Cheng","year":"2012","journal-title":"J. Comput. Civ. Eng."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"298","DOI":"10.1016\/j.bios.2016.12.001","article-title":"Increasing Trend of Wearables and Multimodal Interface for Human Activity Monitoring: A Review","volume":"90","author":"Kumari","year":"2017","journal-title":"Biosens. Bioelectron."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1016\/j.autcon.2015.04.009","article-title":"Infrastructureless Approach for Ubiquitous User Location Tracking in Construction Environments","volume":"56","author":"Khoury","year":"2015","journal-title":"Autom. Constr."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1016\/j.autcon.2016.03.001","article-title":"A Smart Shoe for Building a Real-Time 3D Map","volume":"71","author":"Nguyen","year":"2016","journal-title":"Autom. Constr."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1016\/j.autcon.2016.11.007","article-title":"Wearable IMU-Based Real-Time Motion Warning System for Construction Workers\u2019 Musculoskeletal Disorders Prevention","volume":"74","author":"Yan","year":"2017","journal-title":"Autom. Constr."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1016\/j.proeng.2017.03.155","article-title":"Potential Applications of UAV along the Construction\u2019s Value Chain","volume":"182","author":"Dupont","year":"2017","journal-title":"Procedia Eng."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"184","DOI":"10.1016\/j.autcon.2016.11.004","article-title":"Potential of Big Visual Data and Building Information Modeling for Construction Performance Analytics: An Exploratory Study","volume":"73","author":"Han","year":"2017","journal-title":"Autom. Constr."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1016\/j.autcon.2013.05.001","article-title":"A Vision-Based Motion Capture and Recognition Framework for Behavior-Based Safety Management","volume":"35","author":"Han","year":"2013","journal-title":"Autom. Constr."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1016\/j.autcon.2017.11.005","article-title":"Real-Time Simulation of Construction Workers Using Combined Human Body and Hand Tracking for Robotic Construction Worker System","volume":"86","author":"Kurien","year":"2018","journal-title":"Autom. Constr."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1016\/j.autcon.2017.05.002","article-title":"An Experimental Study of Real-Time Identification of Construction Workers\u2019 Unsafe Behaviors","volume":"82","author":"Yu","year":"2017","journal-title":"Autom. Constr."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"880","DOI":"10.1061\/(ASCE)0733-9364(2007)133:11(880)","article-title":"Real-Time Three-Dimensional Occupancy Grid Modeling for the Detection and Tracking of Construction Resources","volume":"133","author":"Teizer","year":"2007","journal-title":"J. Constr. Eng. Manag."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"889","DOI":"10.1016\/j.aei.2015.10.006","article-title":"Formalized Knowledge of Construction Sequencing for Visual Monitoring of Work-in-Progress via Incomplete Point Clouds and Low-LoD 4D BIMs","volume":"29","author":"Han","year":"2015","journal-title":"Adv. Eng. Inform."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1016\/j.autcon.2015.02.007","article-title":"Appearance-Based Material Classification for Monitoring of Operation-Level Construction Progress Using 4D BIM and Site Photologs","volume":"53","author":"Han","year":"2015","journal-title":"Autom. Constr."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"323","DOI":"10.1016\/j.autcon.2017.09.021","article-title":"Point Cloud Quality Requirements for Scan-vs-BIM Based Automated Construction Progress Monitoring","volume":"84","author":"Rebolj","year":"2017","journal-title":"Autom. Constr."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.autcon.2012.02.015","article-title":"Leveraging Passive RFID Technology for Construction Resource Field Mobility and Status Monitoring in a High-Rise Renovation Project","volume":"24","author":"Costin","year":"2012","journal-title":"Autom. Constr."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1016\/j.autcon.2013.08.009","article-title":"Mobile Passive Radio Frequency Identification (RFID) Portal for Automated and Rapid Control of Personal Protective Equipment (PPE) on Construction Sites","volume":"36","author":"Kelm","year":"2013","journal-title":"Autom. Constr."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"630","DOI":"10.1016\/j.autcon.2010.02.009","article-title":"Autonomous Pro-Active Real-Time Construction Worker and Equipment Operator Proximity Safety Alert System","volume":"19","author":"Teizer","year":"2010","journal-title":"Autom. Constr."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1016\/j.autcon.2010.07.009","article-title":"Application of WiFi-Based Indoor Positioning System for Labor Tracking at Construction Sites: A Case Study in Guangzhou MTR","volume":"20","author":"Woo","year":"2011","journal-title":"Autom. Constr."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"372","DOI":"10.1016\/j.autcon.2017.07.005","article-title":"Safety Barrier Warning System for Underground Construction Sites Using Internet-of-Things Technologies","volume":"83","author":"Zhou","year":"2017","journal-title":"Autom. Constr."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1016\/j.autcon.2012.10.017","article-title":"Real-Time Resource Location Data Collection and Visualization Technology for Construction Safety and Activity Monitoring Applications","volume":"34","author":"Cheng","year":"2013","journal-title":"Autom. Constr."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"320","DOI":"10.1061\/(ASCE)CP.1943-5487.0000222","article-title":"Data Fusion of Real-Time Location Sensing and Physiological Status Monitoring for Ergonomics Analysis of Construction Workers","volume":"27","author":"Cheng","year":"2013","journal-title":"J. Comput. Civ. Eng."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"1173","DOI":"10.1016\/j.autcon.2011.05.001","article-title":"Performance Evaluation of Ultra Wideband Technology for Construction Resource Location Tracking in Harsh Environments","volume":"20","author":"Cheng","year":"2011","journal-title":"Autom. Constr."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1016\/j.autcon.2017.08.005","article-title":"What Drives Construction Workers\u2019 Acceptance of Wearable Technologies in the Workplace? Indoor Localization and Wearable Health Devices for Occupational Safety and Health","volume":"84","author":"Choi","year":"2017","journal-title":"Autom. Constr."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1016\/j.autcon.2015.09.003","article-title":"Proximity Hazard Indicator for Workers-on-Foot near Miss Interactions with Construction Equipment and Geo-Referenced Hazard Areas","volume":"60","author":"Teizer","year":"2015","journal-title":"Autom. Constr."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1016\/j.autcon.2013.03.004","article-title":"Location Tracking and Data Visualization Technology to Advance Construction Ironworkers\u2019 Education and Training in Safety and Productivity","volume":"35","author":"Teizer","year":"2013","journal-title":"Autom. Constr."},{"key":"ref_59","unstructured":"Calvetti, D. (2016). Evaluation of the Electronic Methodology for Monitoring the Performance of Welders in Pipe Manufacturing, Federal Fluminense University."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.autcon.2015.02.004","article-title":"A Labor Consumption Measurement System Based on Real-Time Tracking Technology for Dam Construction Site","volume":"52","author":"Jiang","year":"2015","journal-title":"Autom. Constr."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"467","DOI":"10.1016\/j.autcon.2004.09.006","article-title":"Automated Project Performance Control of Construction Projects","volume":"14","author":"Navon","year":"2005","journal-title":"Autom. Constr."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1016\/S0926-5805(02)00043-2","article-title":"Monitoring Labor Inputs- Automated-Data-Collection Model and Enabling Technologies","volume":"12","author":"Navon","year":"2002","journal-title":"Autom. Constr."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"437","DOI":"10.1061\/(ASCE)0733-9364(2003)129:4(437)","article-title":"Can Labor Inputs Be Measured and Controlled Automatically?","volume":"129","author":"Navon","year":"2003","journal-title":"J. Constr. Eng. Manag."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1016\/j.autcon.2017.08.001","article-title":"Analysis of Construction Trade Worker Body Motions Using a Wearable and Wireless Motion Sensor Network","volume":"83","author":"Valero","year":"2017","journal-title":"Autom. Constr."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1016\/j.autcon.2017.01.020","article-title":"Construction Worker\u2019s Awkward Posture Recognition through Supervised Motion Tensor Decomposition","volume":"77","author":"Chen","year":"2017","journal-title":"Autom. Constr."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"242","DOI":"10.1111\/j.1467-8667.2005.00391","article-title":"Mobile Construction Supply Chain Management Using PDA and Bar Codes","volume":"20","author":"Tserng","year":"2005","journal-title":"Comput. Civ. Infrastruct. Eng."},{"key":"ref_67","first-page":"45","article-title":"Barcode-Assisted System for Document Management of Construction Projects","volume":"5","author":"Shehab","year":"2009","journal-title":"Int. J. Constr. Educ. Res."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1016\/j.autcon.2015.12.018","article-title":"Revealing the \u201cInvisible Gorilla\u201d in Construction: Estimating Construction Safety through Mental Workload Assessment","volume":"63","author":"Chen","year":"2016","journal-title":"Autom. Constr."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"372","DOI":"10.1016\/j.autcon.2016.08.029","article-title":"Feasibility Analysis of Heart Rate Monitoring of Construction Workers Using a Photoplethysmography (PPG) Sensor Embedded in a Wristband-Type Activity Tracker","volume":"71","author":"Hwang","year":"2016","journal-title":"Autom. Constr."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"330","DOI":"10.1016\/j.autcon.2017.06.003","article-title":"Wristband-Type Wearable Health Devices to Measure Construction Workers\u2019 Physical Demands","volume":"83","author":"Hwang","year":"2017","journal-title":"Autom. Constr."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1016\/j.autcon.2017.06.012","article-title":"Wearable Sensors for Monitoring On-Duty and Off-Duty Worker Physiological Status and Activities in Construction","volume":"83","author":"Lee","year":"2017","journal-title":"Autom. Constr."},{"key":"ref_72","unstructured":"Peterson, B. (2019, November 10). There\u2019s A New Version of Google Glass, and it\u2019s Been Secretly Used by Hundreds of Factory Workers for the Last Two Years. Available online: http:\/\/www.businessinsider.com\/theres-a-new-version-of-google-glass-and-its-been-secretly-used-by-hundreds-of-factory-workers-for-the-last-two-years-2017-7."},{"key":"ref_73","unstructured":"Microsoft (2018, October 05). Microsoft HoloLens. Available online: https:\/\/www.microsoft.com\/en-us\/hololens."},{"key":"ref_74","unstructured":"(2018, October 05). Athos. Available online: https:\/\/www.liveathos.com."},{"key":"ref_75","unstructured":"Movit (2018, October 05). Motiv Ring. Available online: https:\/\/mymotiv.com\/motiv-ring."},{"key":"ref_76","unstructured":"Nuada (2018, October 05). NUADA. Available online: http:\/\/nuada.pt."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1016\/j.autcon.2012.12.002","article-title":"Automated 2D Detection of Construction Equipment and Workers from Site Video Streams Using Histograms of Oriented Gradients and Colors","volume":"32","author":"Memarzadeh","year":"2013","journal-title":"Autom. Constr."},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1016\/j.autcon.2012.06.001","article-title":"Construction Worker Detection in Video Frames for Initializing Vision Trackers","volume":"28","author":"Park","year":"2012","journal-title":"Autom. Constr."},{"key":"ref_79","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1016\/j.autcon.2016.08.039","article-title":"Continuous Localization of Construction Workers via Integration of Detection and Tracking","volume":"72","author":"Park","year":"2016","journal-title":"Autom. Constr."},{"key":"ref_80","doi-asserted-by":"crossref","first-page":"428","DOI":"10.1016\/j.aei.2010.06.008","article-title":"Tracking Multiple Workers on Construction Sites Using Video Cameras","volume":"24","author":"Yang","year":"2010","journal-title":"Adv. Eng. Inform."},{"key":"ref_81","doi-asserted-by":"crossref","unstructured":"Zhu, Z., Ren, X., and Chen, Z. (2016). Visual Tracking of Construction Jobsite Workforce and Equipment with Particle Filtering. J. Comput. Civ. Eng., 30.","DOI":"10.1061\/(ASCE)CP.1943-5487.0000573"},{"key":"ref_82","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1016\/j.autcon.2017.05.005","article-title":"Integrated Detection and Tracking of Workforce and Equipment from Construction Jobsite Videos","volume":"81","author":"Zhu","year":"2017","journal-title":"Autom. Constr."},{"key":"ref_83","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1016\/j.autcon.2017.08.031","article-title":"UAV-Based Automatic Generation of High-Resolution Panorama at a Construction Site with a Focus on Preprocessing for Image Stitching","volume":"84","author":"Bang","year":"2017","journal-title":"Autom. Constr."},{"key":"ref_84","doi-asserted-by":"crossref","first-page":"174","DOI":"10.1016\/j.ssci.2017.06.008","article-title":"Applicability of Unmanned Aerial System (UAS) for Safety Inspection on Construction Sites","volume":"98","author":"Melo","year":"2017","journal-title":"Saf. Sci."},{"key":"ref_85","unstructured":"(2020, July 29). Torque Sensor\u2014Power Tool Measurement. Available online: https:\/\/www.futek.com\/applications\/Power-Tool-Measurement."},{"key":"ref_86","doi-asserted-by":"crossref","unstructured":"Bestard, G.A., Sampaio, R.C., Vargas, J.A.R., and Alfaro, S.C.A. (2018). Sensor Fusion to Estimate the Depth and Width of the Weld Bead in Real Time in GMAW Processes. Sensors, 18.","DOI":"10.3390\/s18040962"},{"key":"ref_87","unstructured":"(2020, July 29). Sensors for Construction Machinery\u2014TM Automation Instruments Co., Ltd. Available online: https:\/\/www.tmvenus.com\/Sensors-For-Construction-Machinery-id3842075.html."},{"key":"ref_88","unstructured":"(2020, July 29). Temperature Sensor, China Temperature Sensor, Temperature Sensorr manufacturer\u2014TM. Available online: https:\/\/www.tmvenus.com\/Temperature-Sensor-pl3362865.html."},{"key":"ref_89","doi-asserted-by":"crossref","first-page":"227","DOI":"10.1016\/j.autcon.2014.04.013","article-title":"Physiological Condition Monitoring of Construction Workers","volume":"44","author":"Gatti","year":"2014","journal-title":"Autom. Constr."},{"key":"ref_90","doi-asserted-by":"crossref","first-page":"367","DOI":"10.1016\/j.autcon.2016.08.025","article-title":"A Framework for Real-Time pro-Active Safety Assistance for Mobile Crane Lifting Operations","volume":"72","author":"Fang","year":"2016","journal-title":"Autom. Constr."},{"key":"ref_91","doi-asserted-by":"crossref","unstructured":"Sztyler, T., and Stuckenschmidt, H. (2016, January 14\u201319). On-Body Localization of Wearable Devices: An Investigation of Position-Aware Activity Recognition. Proceedings of the 2016 IEEE International Conference on Pervasive Computing and Communications, PerCom 2016, Sydney, NSW, Australia.","DOI":"10.1109\/PERCOM.2016.7456521"},{"key":"ref_92","doi-asserted-by":"crossref","first-page":"31314","DOI":"10.3390\/s151229858","article-title":"Physical Human Activity Recognition Using Wearable Sensors","volume":"15","author":"Attal","year":"2015","journal-title":"Sensors"},{"key":"ref_93","doi-asserted-by":"crossref","unstructured":"Bao, L., and Intille, S.S. (2004). Activity Recognition from User-Annotated Acceleration Data. Second International Conference, PERVASIVE 2004, Springer.","DOI":"10.1007\/978-3-540-24646-6_1"},{"key":"ref_94","doi-asserted-by":"crossref","unstructured":"Yang, K., Jebelli, H., Ahn, C.R., and Vuran, M.C. (2015, January 21\u201323). Threshold-Based Approach to Detect Near-Miss Falls of Iron-Workers Using Inertial Measurement Units. Proceedings of the 2015 International Workshop on Computing in Civil Engineering, Austin, TX, USA.","DOI":"10.1061\/9780784479247.019"},{"key":"ref_95","doi-asserted-by":"crossref","first-page":"194","DOI":"10.1016\/j.autcon.2016.04.007","article-title":"Semi-Supervised near-Miss Fall Detection for Ironworkers with a Wearable Inertial Measurement Unit","volume":"68","author":"Yang","year":"2016","journal-title":"Autom. Constr."},{"key":"ref_96","doi-asserted-by":"crossref","first-page":"214","DOI":"10.1061\/(ASCE)ME.1943-5479.0000194","article-title":"Critical Review of Labor Productivity Research in Construction Journals","volume":"30","author":"Yi","year":"2014","journal-title":"J. Manag. Eng."},{"key":"ref_97","doi-asserted-by":"crossref","unstructured":"El-Gohary, K.M., Aziz, R.F., and Abdel-Khalek, H.A. (2017). Engineering Approach Using ANN to Improve and Predict Construction Labor Productivity under Different Influences. J. Constr. Eng. Manag., 143.","DOI":"10.1061\/(ASCE)CO.1943-7862.0001340"},{"key":"ref_98","unstructured":"Gilbreth, F.B. (1911). Motion Study: A Method for Increasing the Efficiency of the Workman, D. Van Nostrand Company."},{"key":"ref_99","doi-asserted-by":"crossref","unstructured":"Guo, S.-J., and Tucker, R.L. (1993). Automation Needs Determination Using AHP Approach. Autom. Robot. Constr. X, 39\u201346.","DOI":"10.22260\/ISARC1993\/0006"},{"key":"ref_100","doi-asserted-by":"crossref","first-page":"443","DOI":"10.1061\/(ASCE)0733-9364(1994)120:2(443)","article-title":"Automation and Robotic Opportunities: Construction versus Manufacture","volume":"120","author":"Everett","year":"1994","journal-title":"J. Constr. Eng. Manag."},{"key":"ref_101","doi-asserted-by":"crossref","unstructured":"Ahmadt, A.N.B., Scott, J.N., and Bradley, D.A. (1995). Task Decomposition in Support of Automation and Robotics in Construction. Autom. Robot. Constr. XII, 407\u2013414.","DOI":"10.22260\/ISARC1995\/0049"},{"key":"ref_102","doi-asserted-by":"crossref","unstructured":"Kisi, K.P., Mani, N., Rojas, E.M., and Foster, E.T. (2017). Optimal Productivity in Labor-Intensive Construction Operations: Pilot Study. J. Constr. Eng. Manag., 143.","DOI":"10.1061\/(ASCE)CO.1943-7862.0001257"},{"key":"ref_103","doi-asserted-by":"crossref","first-page":"613","DOI":"10.1080\/09537287.2019.1667547","article-title":"Mechanization in Building Construction Projects: Assessment and Views from the Practitioners","volume":"31","author":"Hwang","year":"2019","journal-title":"Prod. Plan. Control"},{"key":"ref_104","unstructured":"McKinsey (2017). Reinventing Construction: A Route To Higher Productivity, McKinsey & Company."},{"key":"ref_105","doi-asserted-by":"crossref","first-page":"670","DOI":"10.1061\/(ASCE)CO.1943-7862.0000481","article-title":"Construction Productivity Measures for Innovation Projects","volume":"138","author":"Olofsson","year":"2012","journal-title":"J. Constr. Eng. Manag."},{"key":"ref_106","doi-asserted-by":"crossref","first-page":"772","DOI":"10.1061\/(ASCE)0733-9364(2005)131:7(772)","article-title":"Benchmarking of Construction Productivity","volume":"131","author":"Park","year":"2005","journal-title":"J. Constr. Eng. Manag."},{"key":"ref_107","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1016\/j.eswa.2018.03.056","article-title":"Deep Learning Algorithms for Human Activity Recognition Using Mobile and Wearable Sensor Networks: State of the Art and Research Challenges","volume":"105","author":"Nweke","year":"2018","journal-title":"Expert Syst. Appl."},{"key":"ref_108","doi-asserted-by":"crossref","first-page":"514","DOI":"10.1016\/j.aei.2018.08.020","article-title":"Automated Ergonomic Risk Monitoring Using Body-Mounted Sensors and Machine Learning","volume":"38","author":"Nath","year":"2018","journal-title":"Adv. Eng. Inform."},{"key":"ref_109","unstructured":"Meyers, F.E., and Stewart, J.R. (2002). Motion and Time Study for Lean Manufacturing, Prentice Hall. [3rd ed.]."},{"key":"ref_110","unstructured":"Adrian, J.J. (2004). Construction Productivity: Measurement and Improvement, Stipes Publishing."},{"key":"ref_111","unstructured":"CYPE (2019, October 10). Generator of Prices for Construction. Available online: http:\/\/www.geradordeprecos.info\/."},{"key":"ref_112","doi-asserted-by":"crossref","unstructured":"Calvetti, D., Magalh\u00e3es, P.N.M., Sujan, S.F., Gon\u00e7alves, M.C., and Campos de Sousa, H.J. (2020). Challenges of Upgrading Craft Workforce into Construction 4.0\u2014Framework and Agreements. Proc. Inst. Civ. Eng. Manag. Procure. Law, 1\u20137.","DOI":"10.1680\/jmapl.20.00004"}],"container-title":["Buildings"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2075-5309\/10\/10\/169\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T10:12:55Z","timestamp":1760177575000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2075-5309\/10\/10\/169"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9,23]]},"references-count":112,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2020,10]]}},"alternative-id":["buildings10100169"],"URL":"https:\/\/doi.org\/10.3390\/buildings10100169","relation":{},"ISSN":["2075-5309"],"issn-type":[{"value":"2075-5309","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,9,23]]}}}