Emergency Response Management Apparatuses, Methods and Systems
First Claim
1. An emergency management processor-implemented method, comprising:
- receiving sensor readings from at least one sensor device;
generating risk factors for the at least one sensor device using weighted sensor indications associated with the received sensor readings and a sensor statistical distribution associated with the at least one sensor device;
curve fitting the generated risk factors to a plurality of statistical distribution curves, wherein each of the statistical distribution curves is indicative of a threat category; and
determining the threat category based on the generated risk factors providing a best fit with one of the plurality of statistical distribution curves.
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Abstract
The EMERGENCY RESPONSE MANAGEMENT APPARATUSES, METHODS AND SYSTEMS (“ERMS”) transform emergency related inputs and sensor information into a threat indication category, which is distributed to individuals and/or first responders for managing the threat. In one implementation, the method includes an emergency management processor-implemented method that receives sensor readings from one or more sensor devices and generates risk factors for the at least one sensor device. The generated risk factors are then curve fitted to a plurality of statistical distribution curves including both non-extreme and extreme statistical distributions, wherein each of the statistical distribution curves is indicative of a threat category. The threat category is then determined based on the generated risk factors that provide a best fit with one of the plurality of statistical distribution curves.
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Citations
28 Claims
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1. An emergency management processor-implemented method, comprising:
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receiving sensor readings from at least one sensor device; generating risk factors for the at least one sensor device using weighted sensor indications associated with the received sensor readings and a sensor statistical distribution associated with the at least one sensor device; curve fitting the generated risk factors to a plurality of statistical distribution curves, wherein each of the statistical distribution curves is indicative of a threat category; and determining the threat category based on the generated risk factors providing a best fit with one of the plurality of statistical distribution curves. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22)
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23. An emergency management processor-implemented method, comprising:
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receiving sensor readings from at least one sensor device; generating risk factors for the at least one sensor device; curve fitting the generated risk factors to a plurality of statistical distribution curves including both non-extreme and extreme statistical distributions, wherein each of the plurality of statistical distribution curves is indicative of a threat category; and determining the threat category based on the generated risk factors providing a best fit with one of the plurality of statistical distribution curves. - View Dependent Claims (24, 25, 26)
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27. An emergency management system, comprising:
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a memory; and a processor disposed in communication with the memory and configured to issue processing instructions stored in the memory to; receive sensor readings from at least one sensor device; generate risk factors for the at least one sensor device using weighted sensor indications associated with the received sensor readings and a sensor statistical distribution associated with the at least one sensor device; curve fit the generated risk factors to a plurality of statistical distribution curves, wherein each of the statistical distribution curves is indicative of a threat category; and determine the threat category based on the generated risk factors providing a best fit with one of the plurality of statistical distribution curves.
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28. A processor-readable tangible medium storing processor-issuable emergency management instructions to:
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receive sensor readings from at least one sensor device; generate risk factors for the at least one sensor device using weighted sensor indications associated with the received sensor readings and a sensor statistical distribution associated with the at least one sensor device; curve fit the generated risk factors to a plurality of statistical distribution curves, wherein each of the statistical distribution curves is indicative of a threat category; and determine the threat category based on the generated risk factors providing a best fit with one of the plurality of statistical distribution curves.
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Specification