Fall Prevention from Scaffolding Using Computer Vision and IoT-Based Monitoring-Reference-Cited by-同舟云学术

Fall Prevention from Scaffolding Using Computer Vision and IoT-Based Monitoring

Published:2022-07 Issue:7 Volume:148 Page:
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Khan Muhammad¹^ORCID,Khalid Rabia²^ORCID,Anjum Sharjeel²^ORCID,Tran Si Van-Tien¹^ORCID,Park Chansik³

Affiliation:

1. Ph.D. Candidate, Construction Technology Innovation Lab (ConTIL), Architectural Engineering, Chung-Ang Univ., Seoul 06974, Republic of Korea. ORCID: .

2. Master’s Student, Construction Technology Innovation Lab (ConTIL), Architectural Engineering, Chung-Ang Univ., Seoul 06974, Republic of Korea. ORCID: .

3. Professor, Dept. of Architectural Engineering, Chung-Ang Univ., Seoul 06974, Republic of Korea (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

Strategy and Management,Industrial relations,Building and Construction,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CO.1943-7862.0002278

Reference66 articles.

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3. Sensor-based safety management

4. Wearable technology for personalized construction safety monitoring and trending: Review of applicable devices

5. ANN-based automated scaffold builder activity recognition through wearable EMG and IMU sensors

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