Predictive alerts for individual risk of injury with ameliorative actions

A computer readable storage medium comprising a computer readable program for predicting injury risk, wherein the computer readable program when executed on a computer causes the computer to perform the steps of:

• generating state sequences that precede a hazard event that poses a risk of workplace injury based on information regarding a user's state by embedding a relatively high-dimensional measurement of the user's state in a relatively low-dimensional feature space;
• generating a cognitive suite of workplace hygiene and injury predictors (WHIP) based on the state sequences using a processor, wherein the cognitive WHIP predicts a degree of risk of workplace injury correlated with each particular user state sequence;
• generating a risk heat map of a workplace based on the cognitive WHIP that encodes regions with gradations of risk intensities that include at least low-risk, intermediate-risk, and high risk, wherein the risk intensity of a region is based on an absolute risk level of the region and at least one contextual factor based on the user's state, including an indication of drowsiness;
• and
• triggering an ameliorative action when a user moves into an area of high risk based on the heat map that includes automatically changing a setting of a device in the area of high risk to reduce a degree of risk.

A system for predicting injury risk, comprising:

• a processor;
• a memory;
• a cognitive suite of workplace hygiene and injury predictors (WHIP) module that is stored in the memory and executed by the processor, configured to generate state sequences that precede a hazard event based on information regarding a user's state by embedding a relatively high-dimensional measurement of the user's state in a relatively low-dimensional feature space and to generate a cognitive WHIP based on the state sequences, wherein the cognitive WHIP predicts a degree of risk correlated with each particular user state sequence;
• a heat map module that is stored in the memory and executed by the processor, configured to generate a risk heat map of a workplace based on the cognitive WHIP that encodes regions with gradations of risk intensities that include at least low-risk, intermediate-risk, and high risk, wherein the risk intensity of a region is based on an absolute risk level of the region and at least one contextual factor based on the user's state, including an indication of drowsiness;
• and
• an alert module that is stored in the memory and executed by the processor, configured to trigger an ameliorative action when a user moves into an area of high risk based on the cognitive WHIP, said ameliorative action including automatically changing a setting of a device in the area of high risk to reduce a degree of risk.