TECHNIQUES FOR VALIDATING USER CORRELATION TO SENSOR DATA
Disclosed is a method and apparatus for validating user correlation to sensor data. The method for determining whether sensor data corresponds to a user may include obtaining one or more sensor data sets, wherein each sensor data set is associated with one or more validation indicators. The method may include identifying at least one sensor data set from the one or more sensor data sets based on the one or more validation indicators of each sensor data set. Additionally, the method may include determining whether the identified at least one sensor data set corresponds to a user based on a comparison of sensor data from the identified at least one sensor data set to a user sensor data template. Furthermore, the method may include reporting the determination of whether the identified at least one sensor data set corresponds to the user.
1 . A method for determining whether sensor data corresponds to a user, the method comprising:
obtaining one or more sensor data sets, wherein each sensor data set is associated with one or more validation indicators;
identifying at least one sensor data set from the one or more sensor data sets based on the one or more validation indicators of each sensor data set;
determining whether the identified at least one sensor data set corresponds to a user based on a comparison of sensor data from the identified at least one sensor data set to a user sensor data template;
reporting the determination of whether the identified at least one sensor data corresponds to the user.
2 . The method of claim 1 , wherein the identifying the at least one sensor data set from the one or more sensor data sets is based on a comparison of the one or more validation indicators to a threshold, the at least one sensor data set with the highest one or more validation indicators, or any combination thereof.
3 . The method of claim 1 , further comprising:
in response to the one or more validation indicators exceeding a threshold, requesting a user's passcode, a user's biometric data or any combination thereof; and
wherein the determining whether the identified at least one sensor data set corresponds to a user is further based on a comparison of a user's passcode, a user's biometric data or any combination thereof.
4 . The method of claim 1 , wherein the one or more validation indicators is based on an impact of the sensor data on one or more user's goals, a random value, a pseudo random number, an instance after meeting one or more conditions, or any combination thereof.
5 . The method of claim 3 , wherein the user's biometric data comprises a user's fingerprint, facial features, iris data, heart rate, electrocardiogram, one or more user pulses, gait data, or any combination thereof.
6 . The method of claim 1 , wherein the reporting the determination of whether the identified at least one sensor data corresponds to the user comprises in response to a determination that the identified at least one sensor data does not correspond to the user, reporting that the identified at least one sensor data does not correspond to the user.
7 . A device for determining whether sensor data corresponds to a user, the device comprising:
one or more transceivers;
a memory;
one or more processors coupled to the memory and the one or more transceivers, the one or more processors configured to:
obtain one or more sensor data sets, wherein each sensor data set is associated with one or more validation indicators;
identify at least one sensor data set from the one or more sensor data sets based on the one or more validation indicators of each sensor data set;
determine whether the identified at least one sensor data set corresponds to a user based on a comparison of sensor data from the identified at least one sensor data set to a user sensor data template;
report the determination of whether the identified at least one sensor data set corresponds to the user.
8 . The device of claim 7 , wherein the one or more processors are further configured to identify the at least one sensor data set from the one or more sensor data set is further based on a comparison of the one or more validation indicators to a threshold, the at least one sensor data set with the highest one or more validation indicators, or any combination thereof.
9 . The device of claim 7 , wherein the one or more processor is further configured to in response to the one or more validation indicators exceeding a threshold, request a user's passcode, a user's biometric data or any combination thereof; and wherein the one or more processors is further configured to determine whether the identified at least one sensor data set corresponds to a user is further based on a comparison of a user's passcode, a user's biometric data or any combination thereof.
10 . The device of claim 7 , wherein the one or more validation indicators is based on an impact of the sensor data on one or more user's goals, a random value, a pseudo random number, an instance after meeting one or more conditions, or any combination thereof.
11 . The device of claim 9 , wherein the user's biometric data comprises a user's fingerprint, facial features, iris data, heart rate, electrocardiogram, one or more user pulses or any combination thereof.
12 . The device of claim 7 , wherein the one or more processors is configured to report the determination of whether the identified at least one sensor data set corresponds to the user further comprises the one or more processors is configured to in response to a determination that the identified at least one sensor data does not correspond to the user, report that the identified at least one sensor data does not correspond to the user.
13 . A device for determining whether sensor data corresponds to a user, the device comprising:
means for obtaining one or more sensor data sets, wherein each sensor data set is associated with one or more validation indicators;
means for identifying at least one sensor data set from the one or more sensor data sets based on the one or more validation indicators of each sensor data set;
means for determining whether the identified at least one sensor data set corresponds to a user based on a comparison of sensor data from the identified at least one sensor data set to a user sensor data template; and
means for reporting the determination of whether the identified at least one sensor data set corresponds to the user.
14 . The device of claim 13 , wherein the means for identifying the at least one sensor data set from the one or more sensor data set is further based on a comparison of the one or more validation indicators to a threshold, the at least one sensor data set with the highest one or more validation indicators, or any combination thereof.
15 . The device of claim 13 , further comprising:
in response to the one or more validation indicators exceeding a threshold, means for requesting a user's passcode, a user's biometric data or any combination thereof; and
wherein the means for determining whether the identified at least one sensor data set corresponds to a user is further based on a comparison of a user's passcode, a user's biometric data or any combination thereof.
16 . The device of claim 13 , wherein the one or more validation indicators is based on an impact of the sensor data on one or more user's goals, a random value, a pseudo random number, an instance after meeting one or more conditions, or any combination thereof.
17 . The device of claim 15 , wherein the user's biometric data comprises a user's fingerprint, facial features, iris data, heart rate, electrocardiogram, one or more user pulses or any combination thereof.
18 . The device of claim 13 , wherein the means for reporting the determination of whether the identified at least one sensor data set corresponds to the user comprises in response to a determination that the identified at least one sensor data does not correspond to the user, means for reporting that the identified at least one sensor data does not correspond to the user.
19 . A non-transitory computer-readable medium for determining whether sensor data corresponds to a user comprising processor-executable program code configured to cause a processor to:
obtain one or more sensor data sets, wherein each sensor data set is associated with one or more validation indicators;
identify at least one sensor data set from the one or more sensor data sets based on the one or more validation indicators of each sensor data set;
determine whether the identified at least one sensor data set corresponds to a user based on a comparison of sensor data from the identified at least one sensor data set to a user sensor data template;
report the determination of whether the identified at least one sensor data set corresponds to the user.
20 . The non-transitory computer-readable medium of claim 19 , wherein the processor-executable program code is further configured to identify the at least one sensor data set from the one or more sensor data set is further based on a comparison of the one or more validation indicators to a threshold, the at least one sensor data set with the highest one or more validation indicators, or any combination thereof.
21 . The non-transitory computer-readable medium of claim 19 , wherein the processor-executable program code is further configured to in response to the one or more validation indicators exceeding a threshold, request a user's passcode, a user's biometric data or any combination thereof; and wherein the one or more processors is further configured to determine whether the identified at least one sensor data set corresponds to a user is further based on a comparison of a user's passcode, a user's biometric data or any combination thereof.
22 . The non-transitory computer-readable medium of claim 19 , wherein the one or more validation indicators is based on an impact of the sensor data on one or more user's goals, a random value, a pseudo random number, an instance after meeting one or more conditions, or any combination thereof.
23 . The non-transitory computer-readable medium of claim 21 , wherein the user's biometric data comprises a user's fingerprint, facial features, iris data, heart rate, electrocardiogram, one or more user pulses or any combination thereof.
24 . The non-transitory computer-readable medium of claim 19 , wherein the processor-executable program code is configured to report the determination of whether the identified at least one sensor data set corresponds to the user further comprises processor-executable program code is configured to in response to a determination that the identified at least one sensor data does not correspond to the user, report that the identified at least one sensor data does not correspond to the user.