Gesture Recognition–Based Smart Training Assistant System for Construction Worker Earplug-Wearing Training-Reference-Cited by-同舟云学术

Gesture Recognition–Based Smart Training Assistant System for Construction Worker Earplug-Wearing Training

Published:2020-12 Issue:12 Volume:146 Page:04020144
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Bangaru Srikanth Sagar¹^ORCID,Wang Chao²^ORCID,Zhou Xu³^ORCID,Jeon Hyun Woo⁴,Li Yulong⁵

Affiliation:

1. Ph.D. Candidate, Intelligent Construction Management Lab (ICML), Bert S. Turner Dept. of Construction Management, Louisiana State Univ., 237 Electrical Engineering Bldg., Baton Rouge, LA 70803. ORCID: .

2. Assistant Professor and Graduate Program Coordinator, Intelligent Construction Management Lab (ICML), Bert S. Turner Dept. of Construction Management, Louisiana State Univ., 3315D Patrick F. Taylor Hall, Baton Rouge, LA 70803 (corresponding author). ORCID: .

3. Graduate Research Assistant, Intelligent Construction Management Lab (ICML), Bert S. Turner Dept. of Construction Management, Louisiana State Univ., 3131 Patrick F. Taylor Hall, Baton Rouge, LA 70803. ORCID: .

4. Assistant Professor, Dept. of Mechanical and Industrial Engineering, Louisiana State Univ., 3290B Patrick F. Taylor Hall, Baton Rouge, LA 70803.

5. Professor, School of Management Science and Engineering, Central Univ. of Finance and Economics, Beijing 100081, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

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

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CO.1943-7862.0001941

Reference49 articles.

1. Artificial Neural Networks

2. Abreu J. G. J. M. Teixeira L. S. Figueiredo and V. Teichrieb. 2016. “Evaluating sign language recognition using the Myo armband.” In Proc. 2016 XVIII Symp. on Virtual and Augmented Reality (SVR) 64–70. New York: IEEE.

3. Akhavian R. and A. Behzadan. 2015. “Wearable sensor-based activity recognition for data-driven simulation of construction workers’ activities.” In Proc. 2015 Winter Simulation Conf. (WSC) 3333–3344. New York: IEEE.

4. Arief Z. I. A. Sulistijono and R. A. Ardiansyah. 2015. “Comparison of five time series EMG features extractions using Myo armband.” In Proc. 2015 Int. Electronics Symp. (IES) 11–14. New York: IEEE.

5. The noise/stress concept, risk assessment and research needs;Babisch W.;Noise Health,2002

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