USING LOCATION CAPABILITIES OF A MOBILE DEVICE TO PERMIT USERS TO AVOID POTENTIALLY HARMFUL INTERACTIONS

• US 20080094230A1
• Filed: 10/23/2006
• Published: 04/24/2008
• Est. Priority Date: 10/23/2006
• Status: Abandoned Application

• Current Assignee: Motorola, Inc. (Motorola Solutions, Inc.)
• Original Assignee: Motorola, Inc. (Motorola Solutions, Inc.)
• Inventors: GAGE, NONA E., BARROS, MARK A., MOCK, VON A.
• Application Number:
  US11/552,077
• Publication Number:
  US 20080094230A1
• Time in Patent Office: Days
• US Class Current: 340/573.4
• CPC Class Codes: G08B 1/08 using electric transmission ; transformation of alarm signals to electrical signals from a different medium, e.g. transmission of an electric alarm signal upon detection of an audible alarm signal
• CPC Class Codes: G08B 21/0283 via a telephone network, e.g. cellular GSM
• CPC Class Codes: G08B 21/22 responsive to presence or absence of persons
• CPC Class Codes: G08B 31/00 Predictive alarm systems characterised by extrapolation or other computation using updated historic data

Abstract

The present invention automatically increases situational awareness relating to potential sexual predators, criminals, and/or stalkers located near a mobile device user. A location of the mobile device can be determined by device location electronics, such as a Global Positioning System (GPS). The location can be compared against at least one zone believed to be associated with a sexual predator, a criminal, and/or a stalker. Zones can be static or dynamic. A threat level associated with a zone can be computed from multiple factors, which are compared against one or more thresholds. When the threat level exceeds a thresholds, an associated threat avoidance action can be automatically initiated. One threat avoidance action is to present a warning upon a user'"'"'s mobile device along with contextual information about a proximate danger.

Claims

1. A method for utilizing location abilities of a mobile device comprising:

identifying a location of a mobile device;

mathematically combining a plurality of threat factors relating to a potential danger proximate to the identified location;

comparing the combined threat factors against a predetermined threat threshold; and

when the combined threat factors exceed the threat threshold, performing at least one threat avoidance action, wherein said at least one threat avoidance action comprises automatically presenting a warning upon the mobile device about the potential proximate danger.

2. The method of claim 1, wherein the notifying step further comprises:

presenting contextual information pertaining to the potential danger upon the mobile device, wherein said contextual information is automatically obtained from a Web based source.

3. The method of claim 2, wherein the potential danger is associated with a person, wherein said contextual information includes a picture of said person.

4. The method of claim 1, wherein the potential danger relates to a danger from a person who is believed to be at least one of a sexual predator, a criminal, and a stalker, and wherein a picture of the person is automatically presented upon the mobile device along with details pertaining to the potential danger.

5. The method of claim 1, wherein the potential danger relates to a fixed geographic zone, wherein coordinates for the zone are automatically obtained from a Web based source along with details pertaining to why the zone is believed to be dangerous, and wherein the zone is at least one of a residence and business location of a person who has a history of being at least one of a sexual predator and a criminal, wherein said warning includes said details.

6. The method of claim 1, wherein the potential danger is mobile, wherein location based information of the mobile danger is ascertained by determining a position of a second mobile device that is associated with the potential danger.

7. The method of claim 6, wherein the second mobile device comprises a wireless transceiver that dynamically and automatically exchanges digital content with a corresponding wireless transceiver of the mobile device, wherein a relative proximity between the devices is determined based upon a communication range of the wireless transceivers and upon content contained within communications that are exchanged between the devices.

8. The method of claim 1, wherein at least one threat avoidance action further comprises automatically alerting a remotely located guardian of the potential danger.

9. The method of claim 1, further comprising:

detecting a communication device of an individual who is part of the potential danger, wherein said at least one threat avoidance action further comprises notifying the detected communication device that the individual has been identified as a potential threat to another and is currently being monitored.

10. The method of claim 1, wherein one of the threat factors is a loitering factor representing an amount of time that the mobile device is proximate to the potential danger, wherein a threat level relating to the loitering factor increases as the amount of time increases.

11. The method of claim 1, wherein one of the threat factors is a distance factor representing a distance between the mobile device and the potential danger, wherein a threat level relating to the distance factor increases as the distance decreases.

12. The method of claim 1, wherein one of the threat factors is a frequency of contact between the potential danger and the mobile device, wherein a threat level relating to the frequency of contact factor increases as the frequency increases.

13. The method of claim 1, wherein one of the threat factors is a social network factor representing a distance in a social network between a user of the mobile device and an individual who is part of the potential danger, wherein a threat level relating to the social network factor increases as the distance decreases.

14. The method of claim 1, wherein the plurality of factors comprises at least two factors selected from a group of factors consisting of a loitering factor, a distance factor, a frequency of contact factor, and a social network factor.

15. The method of claim 14, wherein the plurality of factors comprises at least three factors selected from the group.

16. The method of claim 1, wherein said steps of claim 1 are steps performed by at least one machine in accordance with at least one computer program stored within a machine readable memory, said computer program having a plurality of code sections that are executable by the at least one machine.

17. A method for preventing harm to a mobile device user that automatically increases situational awareness of potential dangers proximate to the user relating to at least one of sexual predators, criminals, and stalkers, said method comprising:

identifying a location of a mobile device;

comparing the identified location against at least one zone known to be associated with at least one of a sexual predator, a criminal, and a stalker, wherein geographical boundaries for the zone are based upon automatically obtained information from a Web based source; and

when proximate to one of the zones, the mobile device automatically initiating at least one threat avoidance action that includes contextual information about a potential danger associated with the zone, wherein said contextual information is automatically obtained at least in part from the Web based source, wherein the at least one threat avoidance action is selected from a group of actions consisting of an action that automatically presents a warning upon the mobile device about the potential danger, an action that alerts a remotely located guardian of the potential danger via an electronic message, and an action that notifies an individual associated with the zone that possesses a communication device that the individual has been identified as a potential threat to another and is currently being monitored.

18. The method of claim 17, further comprising:

initiating the at least one threat avoidance action only when a calculated threat level exceeds a previously established threat threshold, wherein the threat level is calculated based upon at least one of a loitering factor and a distance factor, wherein the loitering factor represents an amount of time that the mobile device is proximate to the zone, wherein the threat level relating to the loitering factor increases as the amount of time increases, and wherein the distance factor represents a distance between the mobile device and the zone, wherein the threat level relating to the distance factor increases as the distance decreases.

19. A system for warning a mobile device user of potential dangers comprising:

at least one mobile device having location identification capabilities;

a threat assessment system configured to calculate a situational threat value for a zone of danger when the mobile device is proximate to the zone based upon at least one factor, to compare this situational threat value against at least one threshold, and to initiate at least one threat avoidance action when the situational threat value exceeds the at least one threshold; and

at least one Web based source from which at least one zone of danger and contextual information for that zone of danger are automatically obtained.

20. The system of claim 19, wherein said at least one threat factor includes at least one of a loitering factor and a distance factor, wherein the loitering factor represents an amount of time that the mobile device is proximate to the zone, wherein a threat level relating to the loitering factor increases as the amount of time increases, and wherein the distance factor represents a distance between the mobile device and the zone, wherein a threat level relating to the distance factor increases as the distance decreases.