Method and apparatus for alerting mobile telephone call participants that a vehicle's driver is occupied

• US 20110050460A1
• Filed: 08/31/2009
• Published: 03/03/2011
• Est. Priority Date: 08/31/2009
• Status: Abandoned Application

• Current Assignee: Alcatel-Lucent USA, Inc. (Nokia Corporation)
• Original Assignee: Alcatel-Lucent USA, Inc. (Nokia Corporation)
• Inventors: Hobby, John D., Bruns, Glenn R., Kumar, Bharat
• Application Number:
  US12/584,098
• Publication Number:
  US 20110050460A1
• Time in Patent Office: Days
• US Class Current: 340/905
• CPC Class Codes: H04M 1/6075 adapted for handsfree use in a vehicle H04M1/6058 takes precedence; arrangements for holding telephones in a vehicle B60R11/0241
• CPC Class Codes: H04M 1/72457 according to geographic location
• CPC Class Codes: H04M 2250/12 including a sensor for measuring a physical value, e.g. temperature or motion

Abstract

A method and apparatus for improving safety when a driver of a vehicle such as an automobile is engaged in a conversation with another party (or other parties) using a mobile telecommunications device such as a cell phone. Specifically, a situation that requires an elevated attention level of the driver is automatically detected, and in response thereto, an audible alert to at least one of the remote parties to the conversation is automatically provided. The detection of a situation that requires an elevated attention level of the driver and/or the generation of the audible alert to the (one or more) remote parties may be effectuated by the driver'"'"'s mobile telecommunications device (i.e., cell phone) or by a network element in the telecommunications network being used to effectuate the call.

Claims

1. A method for use in connection with a vehicle having a driver thereof, the driver using a mobile telecommunications device to engage in a conversation with one or more remote parties, the method comprising:

automatically detecting a situation that requires an elevated attention level of the driver; and

automatically providing, in response to having detected a situation that requires an elevated attention level of the driver, an audible alert to at least one of the remote parties to the conversation.

2. The method of claim 1 further comprising automatically providing, in response to having detected a situation that requires an elevated attention level of the driver, an audible alert to the driver.

3. The method of claim 2 wherein the audible alert provided to the at least one of the remote parties to the conversation and the audible alert provided to the driver have distinct audible characteristics.

4. The method of claim 1 wherein the audible alert to the at least one of the remote parties to the conversation is provided by the mobile communications device.

5. The method of claim 1 wherein the audible alert to the at least one of the remote parties to the conversation is provided by a network element comprised in a telecommunications network, wherein the mobile telecommunications device is connected to the telecommunications network and wherein the conversation between the driver and the one or more remote parties is effectuated with use of the telecommunications network.

6. The method of claim 1 wherein the mobile communications device detects the situation that requires an elevated attention level of the driver.

7. The method of claim 1 wherein a network element comprised in a telecommunications network detects the situation that requires an elevated attention level of the driver, wherein the mobile telecommunications device is connected to the telecommunications network and wherein the conversation between the driver and the one or more remote parties is effectuated with use of the telecommunications network.

8. The method of claim 1 wherein automatically detecting a situation that requires an elevated attention level of the driver is based on a decision model having a plurality of inputs thereto, wherein the decision model processes the plurality of inputs and provides, based upon the plurality of inputs, a determination of whether or not a situation that requires an elevated attention level of the driver exists.

9. The method of claim 8 wherein the decision model comprises a linear equation and wherein each of the plurality of inputs comprises a corresponding numerical value, wherein the linear equation comprises a summation of each of the corresponding numerical values of the plurality of inputs multiplied by a corresponding weighting factor, and wherein the decision model produces an output based on the summation of the corresponding numerical values of the plurality of inputs multiplied by the corresponding weighting factors.

10. The method of claim 8 wherein the plurality of inputs to the decision model include one or more of

(i) static safety data comprising information relating a determined geographical location of the vehicle with geographical safety data associated with the determined geographical location of the vehicle, wherein the geographical safety data is extracted from a database thereof;

(ii) real-time traffic data comprising information relating a determined geographical location of the vehicle with current geographical traffic data associated with the determined geographical location of the vehicle, wherein the current geographical traffic data is extracted from a database thereof;

(iii) a determined speed of the vehicle;

(iv) a determined current time of day; and

(v) voice stress data determined based on an analysis of one or more vocal characteristics of the driver.

11. The method of claim 10 wherein the determined geographical location of the vehicle is determined with use of a Global Positioning System (GPS).

12. The method of claim 10 wherein the database of geographical safety data comprises geographical safety data at a plurality of selected geographic safety points, and wherein the database of geographical safety data has been derived based on one or more of (i) map data, (ii) accident data and (iii) static traffic data associated with each one of the selected geographic safety points.

13. A mobile communications device for use in connection with a vehicle having a driver thereof, the driver using the mobile telecommunications device to engage in a conversation with one or more remote parties, the mobile communications device comprising:

a processor that automatically detects a situation that requires an elevated attention level of the driver; and

a signal generator that automatically provides, in response to having detected a situation that requires an elevated attention level of the driver, an audible alert to the one or more remote parties to the conversation.

14. The mobile communications device of claim 13 further comprising a signal generator that automatically provides, in response to the processor having detected a situation that requires an elevated attention level of the driver, an audible alert to the driver.

15. The mobile communications device of claim 14 wherein the audible alert provided to the one or more remote parties to the conversation and the audible alert provided to the driver have distinct audible characteristics.

16. The mobile communications device of claim 13 wherein the processor automatically detects a situation that requires an elevated attention level of the driver with use of a decision model having a plurality of inputs thereto, wherein the decision model processes the plurality of inputs and provides, based upon the plurality of inputs, a determination of whether or not a situation that requires an elevated attention level of the driver exists.

17. The mobile communications device of claim 16 wherein the decision model comprises a linear equation and wherein each of the plurality of inputs comprises a corresponding numerical value, wherein the linear equation comprises a summation of each of the corresponding numerical values of the plurality of inputs multiplied by a corresponding weighting factor, and wherein the decision model produces an output based on the summation of the corresponding numerical values of the plurality of inputs multiplied by the corresponding weighting factors.

18. The mobile communications device of claim 16 wherein the plurality of inputs to the decision model include one or more of

(i) static safety data comprising information relating a determined geographical location of the vehicle with geographical safety data associated with the determined geographical location of the vehicle, wherein the geographical safety data is extracted from a database thereof;

(ii) real-time traffic data comprising information relating a determined geographical location of the vehicle with current geographical traffic data associated with the determined geographical location of the vehicle, wherein the current geographical traffic data is extracted from a database thereof;

(iii) a determined speed of the vehicle;

(iv) a determined current time of day; and

(v) voice stress data determined based on an analysis of one or more vocal characteristics of the driver.

19. The mobile communications device of claim 18 wherein the determined geographical location of the vehicle is determined with use of a Global Positioning System (GPS).

20. The mobile communications device of claim 18 wherein the database of geographical safety data comprises geographical safety data at a plurality of selected geographic safety points, and wherein the database of geographical safety data has been derived based on one or more of (i) map data, (ii) accident data and (iii) static traffic data associated with each one of the selected geographic safety points.

21. A network element comprised in a telecommunications network, the network element for use in connection with a mobile telecommunications device being used by a driver of a vehicle to engage in a conversation with one or more remote parties, the network element comprising:

a processor that automatically detects a situation that requires an elevated attention level of the driver; and

a signal generator that automatically provides, in response to having detected a situation that requires an elevated attention level of the driver, an audible alert to at least one of the remote parties to the conversation.

22. The network element of claim 21 further comprising a signal generator that automatically provides, in response to the processor having detected a situation that requires an elevated attention level of the driver, an audible alert to the driver.

23. The network element of claim 22 wherein the audible alert provided to the at least one of the remote parties to the conversation and the audible alert provided to the driver have distinct audible characteristics.

24. The network element of claim 21 wherein the processor automatically detects a situation that requires an elevated attention level of the driver with use of a decision model having a plurality of inputs thereto, wherein the decision model processes the plurality of inputs and provides, based upon the plurality of inputs, a determination of whether or not a situation that requires an elevated attention level of the driver exists.

25. The network element of claim 24 wherein the decision model comprises a linear equation and wherein each of the plurality of inputs comprises a corresponding numerical value, wherein the linear equation comprises a summation of each of the corresponding numerical values of the plurality of inputs multiplied by a corresponding weighting factor, and wherein the decision model produces an output based on the summation of the corresponding numerical values of the plurality of inputs multiplied by the corresponding weighting factors.

26. The network element of claim 24 wherein the plurality of inputs to the decision model include one or more of

(i) static safety data comprising information relating a determined geographical location of the vehicle with geographical safety data associated with the determined geographical location of the vehicle, wherein the geographical safety data is extracted from a database thereof;

(ii) real-time traffic data comprising information relating a determined geographical location of the vehicle with current geographical traffic data associated with the determined geographical location of the vehicle, wherein the current geographical traffic data is extracted from a database thereof;

(iii) a determined speed of the vehicle;

(iv) a determined current time of day; and

(v) voice stress data determined based on an analysis of one or more vocal characteristics of the driver.

27. The network element of claim 26 wherein the determined geographical location of the vehicle is determined with use of a Global Positioning System (GPS).

28. The network element of claim 26 wherein the database of geographical safety data comprises geographical safety data at a plurality of selected geographic safety points, and wherein the database of geographical safety data has been derived based on one or more of (i) map data, (ii) accident data and (iii) static traffic data associated with each one of the selected geographic safety points.