Behavioral detector and learning tools to combat theft?

According to Apple 's patent application , an iPhone or other mobile product uses character recognition techniques to determine if the user using the smartphone is its owner. When usage patterns don't match those of the owner, a notification system is triggered.

Behavioral theft detector

The system communicates using recognition patterns and learns to detect unusual behaviors. Any form of interaction with the device can be collected to refine these patterns, including location information, motion sensor data, and more. Other data such as grammar, vocabulary , and even keyboard orientation preference can help perform a comprehensive analysis.

Apple 's inventions always monitor user behavior, comparing it to historical data associated with the owner's habits.

As one might expect from a sensor in contact Constant interaction with the user generates a lot of information. From misspelled words to commonly used phrases and abbreviations, the device collects all the personal information.

Because privacy reasons, The behavior engine can be programmed to ignore certain types of information, such as, for example, location or conversations.

To facilitate the study of behavior, servers are able to group the information they collect into clusters instead of analyzing it individually. These behavioral clusters are then compared against each other to expedite the detection of potential theft.

And what do you think about this new Apple patent?