System and method for fleet driver biometric tracking
AssigneeBlyncsync Technologies, LLC
InventorsAUSTIN GREEN, STEVEN KASTELIC
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Abstract
A method for employee biometric tracking is provided. The method comprises providing to a user a plurality of wearable devices capable of being connected to the user, establishing a wireless connection between the plurality of wearable devices and a mobile device, collecting by the plurality of wearable devices a plurality of biometric data from the user, receiving by an application stored on the mobile device the plurality of biometric data, inputting into a predictive engine biometric data selected from the plurality of biometric data, determining by the predictive engine in response to the biometric data whether the user is at, or soon will be at, an alert level, creating an alert signal, and displaying the alert signal to the user.
Claims21
1-20. (canceled)
A method for biometric tracking, comprising:
- receiving, using one or more wearable devices, a plurality of biometric data including blink rate data, head acceleration data, and sleep data, wherein the sleep data includes REM sleep data;
- creating and updating over time an electronic log, wherein the electronic log includes a plurality of states of a user each mapped to one or more time periods and each mapped to one or more of the plurality of biometric data;
- inputting, into a predictive engine, biometric data selected from the plurality of biometric data;
- and
- adjusting a predicted behavior pattern based on the sleep data received over time, including gradually increasing or decreasing a predicted number of awake hours at periodic intervals.
A system for biometric tracking, comprising:
- at least one processor;
- and
- a memory coupled to the at least one processor, the memory including computer executable instructions that cause the at least one processor to:
- receive, using one or more wearable devices, a plurality of biometric data, wherein the plurality of biometric data includes blink rate data, head acceleration data, and sleep data, and wherein the sleep data includes REM sleep data;
- create and update over time an electronic log, wherein the electronic log includes a plurality of states of a user each mapped to one or more time periods and each mapped to one or more of the plurality of biometric data;
- input, into a predictive engine, biometric data selected from the plurality of biometric data;
- and
- adjust a predicted behavior pattern based on the sleep data received over time by gradually increasing or decreasing a predicted number of awake hours at periodic intervals.
Dependencies are inferred from the claim text.