Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Using Wearable Physiological Status Monitors for Analyzing the Physical Strain-Productivity Relationship for Construction Tasks
Anecdotal evidence suggests that physical strain may negatively affect workforce productivity and safety performance. Thus, an effective management of construction workforce physical strain could be very beneficial in improving construction productivity and safety. However, clear relationships between physical strain, safety, and productivity have yet to be established because of limitations in data collection procedures and technologies. This research has utilized recent innovations in sensing and communication technology to investigate the physical strain vs. productivity relationship. Data collected by physiological status monitors were analyzed through regression analysis that adopted heart rate as predictor of physical strain. Productivity and heart rate data of seven subjects performing a four-hour, simulated construction task were collected. The analysis showed that heart rate is a significant predictor with a strong parabolic relationship with productivity. Therefore, this research provided evidence of the physical strain vs. productivity relationship and, for the first time, proposed a mathematical formulation of such a relationship.
Using Wearable Physiological Status Monitors for Analyzing the Physical Strain-Productivity Relationship for Construction Tasks
Anecdotal evidence suggests that physical strain may negatively affect workforce productivity and safety performance. Thus, an effective management of construction workforce physical strain could be very beneficial in improving construction productivity and safety. However, clear relationships between physical strain, safety, and productivity have yet to be established because of limitations in data collection procedures and technologies. This research has utilized recent innovations in sensing and communication technology to investigate the physical strain vs. productivity relationship. Data collected by physiological status monitors were analyzed through regression analysis that adopted heart rate as predictor of physical strain. Productivity and heart rate data of seven subjects performing a four-hour, simulated construction task were collected. The analysis showed that heart rate is a significant predictor with a strong parabolic relationship with productivity. Therefore, this research provided evidence of the physical strain vs. productivity relationship and, for the first time, proposed a mathematical formulation of such a relationship.
Using Wearable Physiological Status Monitors for Analyzing the Physical Strain-Productivity Relationship for Construction Tasks
Gatti, U. C. (Autor:in) / Migliaccio, G. C. (Autor:in) / Bogus, S. M. (Autor:in) / Schneider, S. (Autor:in)
International Conference on Computing in Civil Engineering ; 2012 ; Clearwater Beach, Florida, United States
Computing in Civil Engineering (2012) ; 577-585
11.06.2012
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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