Embodiments of a system and method for creating a personalized model are generally described herein. A method may include receiving a series of measurements from a device, comparing stored measurements to the series of measurements at a predefined feature to determine a subset of the stored measurements, the subset of the stored measurements matching the series of measurements within a tolerance margin, and building a personalized model for the device using the subset of the stored measurements. A method may include iteratively building increasingly accurate personalized models with received data.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A system for creating a personalized model, the system comprising: processing circuitry to: receive a series of measurements from a device; compare stored measurements to the series of measurements at a predefined feature to determine a subset of the stored measurements, the subset of the stored measurements matching the series of measurements within a tolerance margin; and build a personalized model for the device using the subset of the stored measurements. 2. The system of claim 1, wherein to build the personalized model, the processing circuitry is to use the series of measurements. 3. The system of claim 1, wherein the processing circuitry is to validate the personalized model using the series of measurements. 4. The system of claim 1, wherein the processing circuitry is to determine the predefined feature using the stored measurements. 5. The system of claim 4, wherein the processing circuitry is to create a plurality of models corresponding to devices used to generate the stored measurements, and wherein to determine the predefined feature includes using the plurality of models. 6. The system of claim 1, wherein the processing circuitry is to send the personalized model to the device. 7. The system of claim 1, wherein the processing circuitry is to: receive a second series of measurements from the device; compare the stored measurements to a combination of the series of measurements and the second series of measurements at the predefined feature to determine a second subset of the stored measurements; and build a second personalized model using the second subset of the stored measurements. 8. The system of claim 7, wherein the processing circuitry is to determine that the second personalized model is more accurate than the personalized model, and send the second personalized model to the device to replace the personalized model. 9. The system of claim 7, wherein the processing circuitry is to iteratively receive measurements from the device, compare the stored measurements to received measurements, build a new personalized model, and send the new personalized model to the device to replace a previous personalized model when the new personalized model is more accurate than the previous personalized model. 10. The system of claim 1, wherein the device is a wearable device. 11. The system of claim 1, wherein the series of measurements include biometric sensor measurements. 12. A method for creating a personalized model, the method comprising: receiving, at a server, a series of measurements from a device; comparing stored measurements to the series of measurements at a predefined feature to determine a subset of the stored measurements, the subset of the stored measurements matching the series of measurements within a tolerance margin; and building a personalized model for the device using the subset of the stored measurements. 13. The method of claim 12, wherein building the personalized model includes using the series of measurements. 14. The method of claim 12, further comprising validating the personalized model using the series of measurements. 15. The method of claim 12, further comprising determining the predefined feature using the stored measurements. 16. The method of claim 15, further comprising creating a plurality of models corresponding to devices used to generate the stored measurements, and wherein determining the predefined feature includes using the plurality of models. 17. The method of claim 12, further comprising sending the personalized model to the device. 18. The method of claim 12, further comprising: receiving a second series of measurements from the device; comparing the stored measurements to a combination of the series of measurements and the second series of measurements at the predefined feature to determine a second subset of the stored measurements; and building a second personalized model using the second subset of the stored measurements. 19. The method of claim 18, further comprising determining that the second personalized model is more accurate than the personalized model, and sending the second personalized model to the device to replace the personalized model. 20. The method of claim 18, further comprising iteratively receiving measurements from the device, comparing the stored measurements to received measurements, building a new personalized model, and sending the new personalized model to the device to replace a previous personalized model, when the new personalized model is more accurate than the previous personalized model. 21. The method of claim 12, wherein the device is a wearable device. 22. The method of claim 12, wherein the series of measurements include biometric sensor measurements. 23. At least one machine-readable medium including instructions for operation of a computing system, which when executed by a machine, cause the machine to perform operations comprising: receiving a series of measurements from a device; comparing stored measurements to the series of measurements at a predefined feature to determine a subset of the stored measurements, the subset of the stored measurements matching the series of measurements within a tolerance margin; and building a personalized model for the device using the subset of the stored measurements. 24. The at least one machine-readable medium of claim 23, wherein building the personalized model includes using the series of measurements. 25. The at least one machine-readable medium of claim 23, further comprising validating the personalized model using the series of measurements.