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Trajectory-based worker task productivity monitoring

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Konstantinou, E 


Over the past decades labour productivity in construction has been declining. The prevalent approach to estimating labour productivity is through an analysis of the trajectories of the construction entities. This analysis typically exploits four types of trajectory data: a) walking path trajectories, b) dense trajectories (posture), c) physiological rates such as heart rate (beats/minute) and respiratory rate (breaths/minute), and d) sound signals. The output of this analysis is the number of work cycles performed by construction workers. The total duration of these cycles is equal to the labour input of a task. However, all such methods do not meet the requirements for proactive monitoring of labour productivity in an accurate, non-obtrusive, time and cost efficient way for multiple workers. This paper proposes a method to address this shortcoming. It features a promising accuracy in terms of calculating the labour input.



Productivity, monitoring, construction

Journal Title

2018 Proceedings of the 35th ISARC, Berlin, Germany

Conference Name

35th International Symposium on Automation and Robotics in Construction (ISARC 2018)

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Volume Title


International Association for Automation and Robotics in Construction
EPSRC (1365023)
ICASE studentship award, supported by EPSRC and LAING O'ROURKE PLC under Grant No. 13440016.