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Abbasi, S, Taghizade, K and Noorzai, E (2020) BIM-Based Combination of Takt Time and Discrete Event Simulation for Implementing Just in Time in Construction Scheduling under Constraints. Journal of Construction Engineering and Management, 146(12).

Assaad, R, El-adaway, I H, El Hakea, A H, Parker, M J, Henderson, T I, Salvo, C R and Ahmed, M O (2020) Contractual Perspective for BIM Utilization in US Construction Projects. Journal of Construction Engineering and Management, 146(12).

Assaad, R, El-adaway, I H, Hastak, M and Needy, K L (2020) Commercial and Legal Considerations of Offsite Construction Projects and their Hybrid Transactions. Journal of Construction Engineering and Management, 146(12).

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).

  • Type: Journal Article
  • Keywords: Artificial neural network; Wearable sensors; Electromyography (EMG); Gesture recognition; Safety training;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001941
  • Abstract:
    Thousands of construction workers suffer noise-induced hearing loss (NIHL) every year from excessive noise exposure on the job, which impairs the quality of their lives and increases the risk of injury. Properly wearing earplugs is very important onsite for worker hearing protection. However, the training provided in the current practice is minimal. Therefore, there is a need to develop an efficient and effective self-training method that can provide both accurate step-by-step earplug-wearing instructions and timely feedback through monitoring. With the development of artificial intelligence and wearable sensor technologies, the possibility of developing an advanced intelligent training method becomes plausible. Therefore, the objective of this paper is to develop a gesture recognition–based smart training assistant system that can automatically evaluate workers’ performance during their earplug-wearing self-training and provide timely feedback to rectify any mistakes. Through the system feasibility test and performance evaluation, the results show that the proposed system can achieve around 90% training accuracy and around 80% testing accuracy recognizing the classified forearm gestures of wearing earplugs for noise protection training using the developed artificial neural network (ANN) models for both hands. The proposed gesture recognition–based smart training assistant system will eventually help industries to improve the performance and safety of employees with low implementation costs.

Chang, S, Castro-Lacouture, D and Yamagata, Y (2020) Estimating Building Electricity Performance Gaps with Internet of Things Data Using Bayesian Multilevel Additive Modeling. Journal of Construction Engineering and Management, 146(12).

Erol, H, Dikmen, I, Atasoy, G and Birgonul, M T (2020) Exploring the Relationship between Complexity and Risk in Megaconstruction Projects. Journal of Construction Engineering and Management, 146(12).

Jallan, Y and Ashuri, B (2020) Text Mining of the Securities and Exchange Commission Financial Filings of Publicly Traded Construction Firms Using Deep Learning to Identify and Assess Risk. Journal of Construction Engineering and Management, 146(12).

Kong, F and Dou, D (2020) RCPSP with Combined Precedence Relations and Resource Calendars. Journal of Construction Engineering and Management, 146(12).

Li, H, Luo, X and Skitmore, M (2020) Intelligent Hoisting with Car-Like Mobile Robots. Journal of Construction Engineering and Management, 146(12).

Loosemore, M, Sunindijo, R Y and Zhang, S (2020) Comparative Analysis of Safety Climate in the Chinese, Australian, and Indonesian Construction Industries. Journal of Construction Engineering and Management, 146(12).

Mahdavian, A and Shojaei, A (2020) Hybrid Genetic Algorithm and Constraint-Based Simulation Framework for Building Construction Project Planning and Control. Journal of Construction Engineering and Management, 146(12).

Nguyen, P H D, Tran, D Q and Lines, B C (2020) Empirical Inference System for Highway Project Delivery Selection Using Fuzzy Pattern Recognition. Journal of Construction Engineering and Management, 146(12).

Roupé, M, Johansson, M, Maftei, L, Lundstedt, R and Viklund-Tallgren, M (2020) Virtual Collaborative Design Environment: Supporting Seamless Integration of Multitouch Table and Immersive VR. Journal of Construction Engineering and Management, 146(12).

Sarihi, M, Shahhosseini, V and Banki, M T (2020) Multiskilled Project Management Workforce Assignment across Multiple Projects Regarding Competency. Journal of Construction Engineering and Management, 146(12).

Shi, J, Liu, B, Tan, J, Dai, J, Chen, J and Ji, R (2020) Experimental Studies and Microstructure Analysis for Rapid-Hardening Cement Emulsified Asphalt Mortar. Journal of Construction Engineering and Management, 146(12).

Signor, R, Love, P E D, Marchiori, F F and Felisberto, A D (2020) Underpricing in Social Infrastructure Projects: Combating the Institutionalization of the Winner’s Curse. Journal of Construction Engineering and Management, 146(12).

Wang, D, Wang, Y and Lu, Y (2020) Impact of Regulatory Focus on Uncertainty in Megaprojects: Mediating Role of Trust and Control. Journal of Construction Engineering and Management, 146(12).

Wu, W, Sandoval, A, Gunji, V, Ayer, S K, London, J, Perry, L, Patil, K and Smith, K (2020) Comparing Traditional and Mixed Reality-Facilitated Apprenticeship Learning in a Wood-Frame Construction Lab. Journal of Construction Engineering and Management, 146(12).

Xu, X, Chen, K and Cai, H (2020) Automating Utility Permitting within Highway Right-of-Way via a Generic UML/OCL Model and Natural Language Processing. Journal of Construction Engineering and Management, 146(12).

Yin, X, Bouferguene, A and Al-Hussein, M (2020) Data-Driven Sewer Pipe Data Random Generation and Validation. Journal of Construction Engineering and Management, 146(12).