Abstracts – Browse Results
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Abd Elsalam, M F (2021) Breaking through the classical determinants in the field of hyper urban planning. Construction Innovation, 21(4), 818-36.
Al Jassmi, H, Al Ahmad, M and Ahmed, S (2021) Automatic recognition of labor activity: a machine learning approach to capture activity physiological patterns using wearable sensors. Construction Innovation, 21(4), 555-75.
- Type: Journal Article
- Keywords: activity recognition; construction labor; machine learning; performance monitoring; physiological patterns; wearable sensors
- ISBN/ISSN:
- URL: https://doi.org/10.1108/CI-02-2020-0018
- Abstract:
The first step toward developing an automated construction workers performance monitoring system is to initially establish a complete and competent activity recognition solution, which is still lacking. This study aims to propose a novel approach of using labor physiological data collected through wearable sensors as means of remote and automatic activity recognition. A pilot study is conducted against three pre-fabrication stone construction workers throughout three full working shifts to test the ability of automatically recognizing the type of activities they perform in-site through their lively measured physiological signals (i.e. blood volume pulse, respiration rate, heart rate, galvanic skin response and skin temperature). The physiological data are broadcasted from wearable sensors to a tablet application developed for this particular purpose, and are therefore used to train and assess the performance of various machine-learning classifiers. A promising result of up to 88% accuracy level for activity recognition was achieved by using an artificial neural network classifier. Nonetheless, special care needs to be taken for some activities that evoke similar physiological patterns. It is expected that blending this method with other currently developed camera-based or kinetic-based methods would yield higher activity recognition accuracy levels. The proposed method complements previously proposed labor tracking methods that focused on monitoring labor trajectories and postures, by using additional rich source of information from labors physiology, for real-time and remote activity recognition. Ultimately, this paves for an automated and comprehensive solution with which construction managers could monitor, control and collect rich real-time data about workers performance remotely.
Alkhateeb, A M, Hyari, K H and Hiyassat, M A (2021) Analyzing bidding competitiveness and success rate of contractors competing for public construction projects. Construction Innovation, 21(4), 576-91.
Arai, K and Morimoto, E (2021) Productivity and innovation in the Japanese construction industry. Construction Innovation, 21(4), 917-33.
Bilge, E C and Yaman, H (2021) Information management roles in real estate development lifecycle: literature review on BIM and IPD framework. Construction Innovation, 21(4), 723-42.
Bosch-Sijtsema, P, Claeson-Jonsson, C, Johansson, M and Roupe, M (2021) The hype factor of digital technologies in AEC. Construction Innovation, 21(4), 899-916.
Charlson, J and Dimka, N (2021) Design, manufacture and construct procurement model for volumetric offsite manufacturing in the UK housing sector. Construction Innovation, 21(4), 800-17.
Dharmapalan, V, O'Brien, W J, Morrice, D and Jung, M (2021) Assessment of visibility in industrial construction projects: a viewpoint from supply chain stakeholders. Construction Innovation, 21(4), 782-99.
Ghansah, F A, Owusu-Manu, D G, Ayarkwa, J, Edwards, D J and Hosseini, M R (2021) Exploration of latent barriers inhibiting project management processes in adopting smart building technologies (SBTs) in the developing countries. Construction Innovation, 21(4), 685-707.
Gharouni Jafari, K, Noorzai, E and Hosseini, M R (2021) Assessing the capabilities of computing features in addressing the most common issues in the AEC industry. Construction Innovation, 21(4), 875-98.
Guven, G and Ergen, E (2021) Tracking major resources for automated progress monitoring of construction activities: masonry work case. Construction Innovation, 21(4), 648-67.
Kapogiannis, G, Fernando, T and Alkhard, A M (2021) Impact of proactive behaviour antecedents on construction project managers' performance. Construction Innovation, 21(4), 708-22.
Kasbar, M, Staub-French, S, Pilon, A, Poirier, E, Teshnizi, Z and Froese, T (2021) Construction productivity assessment on Brock Commons Tallwood House. Construction Innovation, 21(4), 951-68.
Lavikka, R, Chauhan, K, Peltokorpi, A and Seppänen, O (2021) Value creation and capture in systemic innovation implementation: case of mechanical, electrical and plumbing prefabrication in the Finnish construction sector. Construction Innovation, 21(4), 837-56.
M.E. Sepasgozar, S, Shirowzhan, S and Loosemore, M (2021) Information asymmetries between vendors and customers in the advanced construction technology diffusion process. Construction Innovation, 21(4), 857-74.
Obi, L I, Arif, M, Awuzie, B, Islam, R, Gupta, A D and Walton, R (2021) Critical success factors for cost management in public-housing projects. Construction Innovation, 21(4), 625-47.
Ofori-Kuragu, J K and Osei-Kyei, R (2021) Mainstreaming pre-manufactured offsite processes in construction – are we nearly there?. Construction Innovation, 21(4), 743-60.
Pablo, Z, London, K, Wong, P S P and Khalfan, M (2021) Actor-network theory and the evolution of complex adaptive supply networks. Construction Innovation, 21(4), 668-84.
Salama, T, Salah, A and Moselhi, O (2021) Integrating critical chain project management with last planner system for linear scheduling of modular construction. Construction Innovation, 21(4), 525-54.
Sarvari, H, Nassereddine, H, Chan, D W M, Amirkhani, M and Md Noor, N (2021) Determining and assessing the significant barriers of transferring unfinished construction projects from the public sector to the private sector in Iran. Construction Innovation, 21(4), 592-607.
Sergeeva, N and Duryan, M (2021) Reflecting on knowledge management as an enabler of innovation in project-based construction firms. Construction Innovation, 21(4), 934-50.
Sutrisna, M, Tjia, D and Wu, P (2021) Developing a predictive model of construction industry-university research collaboration. Construction Innovation, 21(4), 761-81.
Ying, F J, O'Sullivan, M and Adan, I (2021) Simulation of vehicle movements for planning construction logistics centres. Construction Innovation, 21(4), 608-24.