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Found one item.
A Model for Predicting Construction Worker Fatigue
Ahmed Senouci, Surya Anuradha Garimella, Kyungki Kim, Neil Eldin
Article ID:
4628
326
(Abstract)
78
(Download)
Abstract:
Fatigue impairs workers’ judgment, reduces their productivity, and jeop
ardizes their safety. The paper presents a tool to predict workers’ fatigue
based on their vital signs. An experimental study was conducted in which
the heart rate and sleep quality for three individuals were monitored using
fitness trackers (wearable sensors). The data collected were used to develop
two models based on...
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2022-09-29
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