| CPC G08B 21/02 (2013.01) | 19 Claims |

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1. A method for human-centered safety using physiological indicators to detect at least one potential hazard, comprising:
receiving, with at least one processor, physiological data associated with a plurality of physiological parameters of a worker from a wearable device of the worker;
monitoring, with the at least one processor, the physiological data to detect at least one potential hazard based on a hazard classifier, the hazard classifier comprising at least one machine learning model trained based on historical physiological data associated with the plurality of physiological parameters; and
communicating, with the at least one processor, at least one communication based on the at least one potential hazard;
displaying, with the at least one processor, at least one dashboard, wherein the at least one dashboard comprises at least one of:
at least one gauge graphical element;
at least one bar graphical element; or
any combination thereof,
wherein the at least one gauge graphical element comprises a plurality of gauge graphical elements comprising a first gauge graphical element associated with inherent risk of the at least one potential hazard, a second gauge graphical element associated with current risk of the at least one potential hazard, and a third gauge graphical element associated with future risk of the at least one potential hazard, and
wherein the at least one bar graphical element comprises a plurality of bar graphical elements comprising a first subset of bar graphical elements associated with worker data of the worker, a second subset of bar graphical elements associated with at least one current potential hazard of the at least one potential hazard, and a third subset of bar graphical elements associated with at least one future potential hazard of the at least one potential hazard.
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