Automated PPE-Tool pair check system for construction safety using smart IoT
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Sara Shirowzhan | Samad M. E. Sepasgozar | Heng Li | Xincong Yang | Yantao Yu | S. Sepasgozar | S. Shirowzhan | Heng Li | Xincong Yang | Yantao Yu
[1] Man-Woo Park,et al. Hardhat-Wearing Detection for Enhancing On-Site Safety of Construction Workers , 2015 .
[2] Hiam Khoury,et al. Vision-Based Framework for Intelligent Monitoring of Hardhat Wearing on Construction Sites , 2019, J. Comput. Civ. Eng..
[3] Abdullatif Alwasel,et al. Sensing Construction Work-Related Musculoskeletal Disorders (WMSDs) , 2011 .
[4] Cheng Zhang,et al. Crane Pose Estimation Using UWB Real-Time Location System , 2012, J. Comput. Civ. Eng..
[5] SangHyun Lee,et al. Computer vision techniques for construction safety and health monitoring , 2015, Adv. Eng. Informatics.
[6] Govind Sharan Dangayach,et al. Non-powered hand tool improvement research for prevention of work-related problems: a review , 2018, International journal of occupational safety and ergonomics : JOSE.
[7] SangHyun Lee,et al. Computer Vision Techniques for Worker Motion Analysis to Reduce Musculoskeletal Disorders in Construction , 2011 .
[8] Patricio A. Vela,et al. Performance evaluation of ultra wideband technology for construction resource location tracking in harsh environments , 2011 .
[9] Ioannis Brilakis,et al. Construction worker detection in video frames for initializing vision trackers , 2012 .
[10] M. Dominic Cooper,et al. The efficacy of industrial safety science constructs for addressing serious injuries & fatalities (SIFs) , 2019 .
[11] Hyunsoo Kim,et al. Automated hazardous area identification using laborers' actual and optimal routes , 2016 .
[12] Pong C. Yuen,et al. Improving posture classification accuracy for depth sensor-based human activity monitoring in smart environments , 2016, Comput. Vis. Image Underst..
[13] R F Abrahão,et al. Protective gloves on manual sugar cane cutting are really effective? , 2012, Work.
[14] Peter E.D. Love,et al. Falls from heights: A computer vision-based approach for safety harness detection , 2018, Automation in Construction.
[15] Alistair G.F. Gibb,et al. Towards an autonomous real-time tracking system of near-miss accidents on construction sites , 2010 .
[16] SangUk Han,et al. A vision-based motion capture and recognition framework for behavior-based safety management , 2013 .
[17] Charles T. Jahren,et al. RADIO-FREQUENCY IDENTIFICATION APPLICATIONS IN CONSTRUCTION INDUSTRY , 1995 .
[18] J. C. Wilson,et al. Automatic inspection of hazardous materials by mobile robot , 1995, 1995 IEEE International Conference on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century.
[19] Tomohiro Yoshida,et al. Application of RFID technology to prevention of collision accident with heavy equipment , 2010 .
[20] Jitendra Malik,et al. Robust Multiple Car Tracking with Occlusion Reasoning , 1994, ECCV.
[21] William David Cooper,et al. Electronic instrumentation and measurement techniques , 1970 .
[22] Weisheng Lu,et al. Scenarios for applying RFID technology in construction project management , 2011 .
[23] Perry Forsythe,et al. Automated classification of construction site hazard zones by crowd-sourced integrated density maps , 2017 .
[24] John R. Myers,et al. Hand tool injuries at work: A surveillance perspective , 1988 .
[25] SangHyun Lee,et al. Wearable Sensing Technology Applications in Construction Safety and Health , 2019, Journal of Construction Engineering and Management.
[26] Maria Grazia Gnoni,et al. Integrating IoT technologies for an “intelligent” safety management in the process industry , 2020 .
[27] Moonseo Park,et al. RFID-Based Real-Time Locating System for Construction Safety Management , 2012, J. Comput. Civ. Eng..
[28] Kinam Kim,et al. Vision-Based Object-Centric Safety Assessment Using Fuzzy Inference: Monitoring Struck-By Accidents with Moving Objects , 2016, J. Comput. Civ. Eng..
[29] Mohammad A. Hassanain,et al. A risk assessment approach for enhancing construction safety performance , 2020 .
[30] Mani Golparvar-Fard,et al. Automated Vision-based Recognition of Construction Worker Actions for Building Interior Construction , 2012 .
[31] Carlos H. Caldas,et al. Locating Materials on Construction Site Using Proximity Techniques , 2005 .
[32] Hanbin Luo,et al. Real-time safety early warning system for cross passage construction in Yangtze Riverbed Metro Tunnel based on the internet of things , 2013 .
[33] R. Eley,et al. Characteristics of accidental injuries from power tools treated at two emergency departments in Queensland , 2018, Emergency medicine Australasia : EMA.
[34] Sheng Lin Wu,et al. Visual Monitoring Technology of the Tunnel 3D Laser Scanning and Engineering Applications , 2013 .
[35] Yantao Yu,et al. The availability of wearable-device-based physical data for the measurement of construction workers' psychological status on site: From the perspective of safety management , 2017 .
[36] Tuan Ngo,et al. Sensor-based safety management , 2020 .
[37] Feniosky Peña-Mora,et al. Vision-Based Detection of Unsafe Actions of a Construction Worker: Case Study of Ladder Climbing , 2013, J. Comput. Civ. Eng..
[38] SangHyun Lee,et al. Automated Postural Ergonomic Assessment Using a Computer Vision-Based Posture Classification , 2016 .
[39] Jochen Teizer,et al. Mobile passive Radio Frequency Identification (RFID) portal for automated and rapid control of Personal Protective Equipment (PPE) on construction sites , 2013 .
[40] Tao Cheng,et al. Real-time resource location data collection and visualization technology for construction safety and activity monitoring applications , 2013 .
[41] Burcin Becerik-Gerber,et al. Monitoring fatigue in construction workers using physiological measurements , 2017 .
[42] Xiaochun Luo,et al. Detecting non-hardhat-use by a deep learning method from far-field surveillance videos , 2018 .
[43] Systems Man Ieee. 1995 IEEE International Conference on Systems, Man and Cybernetics , 1995 .
[44] Weiwei Wu,et al. Design and implementation of an identification system in construction site safety for proactive accident prevention. , 2012, Accident; analysis and prevention.
[45] Mohamed Al-Hussein,et al. A scientometric analysis and critical review of computer vision applications for construction , 2019, Automation in Construction.
[46] Tao Cheng,et al. Data Fusion of Real-Time Location Sensing and Physiological Status Monitoring for Ergonomics Analysis of Construction Workers , 2013, J. Comput. Civ. Eng..
[47] Yantao Yu,et al. Automatic Biomechanical Workload Estimation for Construction Workers by Computer Vision and Smart Insoles , 2019 .
[48] T. Kivell,et al. The impact of hand proportions on tool grip abilities in humans, great apes and fossil hominins: A biomechanical analysis using musculoskeletal simulation. , 2018, Journal of human evolution.
[49] Peter E.D. Love,et al. Computer vision for behaviour-based safety in construction: A review and future directions , 2020, Adv. Eng. Informatics.
[50] Hiam Khoury,et al. Automated Hardhat Detection for Construction Safety Applications , 2017 .
[51] Hyunchul Choi,et al. Vision-Based Safety Vest Detection in a Construction Scene , 2017 .
[52] Bin Zhao,et al. Hazardous material sign detection and recognition , 2013, 2013 IEEE International Conference on Image Processing.
[53] Jixiu Wu,et al. Automatic detection of hardhats worn by construction personnel: A deep learning approach and benchmark dataset , 2019, Automation in Construction.