Methods and apparatus for determining an identity of a user
Methods and apparatuses for determining the identity of the user detect a current user's electronic device activity pattern; compare the detected activity pattern against a plurality of user action identification profiles, wherein each user action identification profile is associated with a particular user; and use the comparing to identify the current user as being the particular user.
1. A method programmed in a non-transitory memory of a device comprising:
detecting a user's electronic device activity pattern, wherein the activity pattern comprises a plurality of separate application content selection activities;
comparing the detected activity pattern against a plurality of user action identification profiles, wherein each user action identification profile is associated with a particular unique user; and
using the comparing to identify the current user as being one of the particular users.
2. The method according to claim 1 , wherein comparing the detected activity pattern comprises scoring a comparison between the detected activity pattern and a user action identification profile.
3. The method according to claim 1 , wherein comparing the user activity pattern comprises scoring a comparison between the detected activity pattern and a user action identification profile, and wherein using the comparing comprises comparing the comparison score against a predetermined threshold score.
4. The method according to claim 1 , wherein comparing the detected activity pattern comprises determining a number of matches between the detected activity pattern and the user action identification profiles, and wherein using the comparing comprises comparing the determined number of matches against a predetermined number of matches.
5. The method according to claim 1 , further comprising the act of detecting additional activity of the current user if the act of using the comparing does not identify the current user.
6. The method according to claim 1 , wherein the current user's electronic device activity includes selection of content.
7. The method according to claim 1 , wherein the current user's electronic device activity includes selection of an application.
8. The method according to claim 1 , wherein the activity of the user includes selection of a category.
9. The method according to claim 1 , wherein the detected activity pattern includes a length of time between the current user's inputs on the electronic device.
10. The method according to claim 1 , wherein the activity pattern comprises a website access pattern.
11. The method according to claim 1 , wherein the activity pattern comprises frequently accessed content items.
12. The method according to claim 1 , wherein the activity pattern comprises an ordered sequence of actions.
13. A system comprising:
means for detecting a user's electronic device activity pattern, wherein the activity pattern comprises a plurality of separate application category selection activities;
means for comparing the detected activity pattern against a plurality of user action identification profiles, wherein each user action identification profile is associated with a particular unique user; and
means for using the comparing to identify the current user as being one of the particular users.
14. A method programmed in a non-transitory memory of a device comprising:
comparing a user's activity pattern against a plurality of user action identification profiles, wherein each user action identification profile is associated with a particular unique user and wherein the current user's activity includes an input selection, wherein the input selection comprises a plurality of menu selection inputs;
using the comparing to identify the current user as being one of the particular users.
15. The method according to claim 14 , wherein comparing the current user's activity pattern comprises scoring a comparison between the detected activity pattern and a user action identification profile.
16. The method according to claim 14 , wherein comparing the current user's activity pattern comprises scoring a comparison between the current user's activity pattern and a user action identification profile, and wherein using the comparing comprises comparing the comparison score against a predetermined threshold score.
17. The method according to claim 14 , wherein comparing the current user's activity pattern comprises determining a number of matches between the current user's activity pattern and the user action identification profiles, and wherein using the comparing comprises comparing the determined number of matches against a predetermined number of matches.
18. The method according to claim 14 , further comprising the act of detecting additional activity of the current user if the act of using the comparing does not identify the current user.
19. The method according to claim 14 , wherein the input selection includes selection of content.
20. The method according to claim 14 , wherein the input selection includes selection of an application.
21. The method according to claim 14 , wherein the input selection includes selection of a category.
22. The method according to claim 14 , wherein the current user's activity pattern includes a length of time between the current user's inputs.
23. The method according to claim 14 , further comprising detecting the user's activity pattern.