Infotainment system for recommending a task during a traffic transit time

• US 10,228,260 B2
• Filed: 12/31/2015
• Issued: 03/12/2019
• Est. Priority Date: 01/01/2015
• Status: Active Grant

• Current Assignee: Visteon Global Technologies Incorporated (Visteon Corporation)
• Original Assignee: Visteon Global Technologies Incorporated (Visteon Corporation)
• Inventors: Swaminathan, Ganesan, Vasarla, Ashokkumar, Ramanuja, Vijaya, Saminathan, Venkatasubramanian
• Primary Examiner(s): Blount, Eric
• Application Number:
  US15/541,304
• Publication Number:
  US 20170370741A1
• Time in Patent Office: 1,167 Days
• Field of Search: 340438, 700276, 701465
• CPC Class Codes: G01C 21/26 specially adapted for navigation in a road network
• CPC Class Codes: G01C 21/3492 employing speed data or traffic data, e.g. real-time or historical traffic control systems for road vehicles involving transmission of navigation instructions to the vehicle G08G1/0968
• CPC Class Codes: G01C 21/3697 Output of additional, non-guidance related information, e.g. low fuel level G01C21/3679 takes precedence
• CPC Class Codes: G08G 1/096888 where input information is obtained using learning systems, e.g. history databases
• CPC Class Codes: H04W 4/40 for vehicles, e.g. vehicle-to-pedestrians [V2P]
• CPC Class Codes: H04W 4/44 for communication between vehicles and infrastructures, e.g. vehicle-to-cloud [V2C] or vehicle-to-home [V2H]
• CPC Class Codes: H04W 4/60 Subscription-based services using application servers or record carriers, e.g. SIM application toolkits

Abstract

A system and method for recommending one or more relevant tasks based on the two or more relevant information associated to the user and traffic. The proposed system and method retrieves all the possible information associated to the traffic and the user and consolidates the information to determine the relevant tasks based on the one or more criteria.

Claims

1. An infotainment system for recommending one or more relevant tasks to a user during a traffic transit time comprising:

a non-transitory computer readable medium for storing instructions for performing the recommending;

a processor to perform the instructions, the processor being configured to;

recieve itinerary information from said user for obtaining a real time traffic information for said itinerary information, wherein said itinerary information comprises a source and a destination;

store a plurality of previous tasks performed by said user, a time period taken by said user to complete each of said plurality of previous tasks, and said itinerary information associated therewith;

obtain a plurality of mobile tasks along with a time stamp for each of said plurality of mobile tasks from a plurality of mobile devices;

detect an emotion of said user from an emotion sensing device;

obtain a plurality of entertainment related tasks form an entertainment device, wherein each of said plurality of entertainment related tasks is tagged with at least one of said time stamp and said emotion;

select said one or more relevant tasks when a vehicle is approaching a traffic from at least one of (i) said plurality of mobile tasks, (ii) said plurality of entertainment related tasks and (iii) said plurality of previous tasks based on (a) said real time traffic information and at least one of (b) said itinerary information, (c) said time stamp and (d) said emotion of said user; and

display said task during said traffic transit time and allowing said user to perform said task.

2. The system as claimed in claim 1, wherein said mobile device is defined as at least one of a mobile phone, a laptop, a tablet computer.

3. The system as claimed in claim 1, wherein said emotion sensing device is defined as a device worn by said user or an image capturing device.

4. The system as claimed in claim 1, wherein said entertainment device is at least one of (i) a media player and (ii) a game player, and said entertainment device storing said plurality entertainment related tasks along with said time stamp and said emotion.

5. The system as claimed in claim 1, wherein the processor being configured to select is further configured to:

(a) identify an exact traffic transit time from said real time traffic information and (b) select one or more relevant tasks from said plurality of tasks that are suitable for said exact traffic transit time, wherein said selecting of one or more relevant tasks comprises;

(i) searching for said one or more relevant tasks from said plurality of previous task which are completed in a duration of said exact traffic transit time;

(ii) searching for said one or more relevant tasks from said plurality of mobile tasks which are time stamped for a predefined duration;

(iii) searching for said one or more relevant tasks from said plurality of entertainment related tasks based on at least one of said time stamp for a present time and said emotion sensed in said emotion sensing unit.

6. The system as claimed in claim 1, wherein the processor is further configured to control an environmental condition inside a vehicle based on said emotion.

15. The system as claimed in claim 1, wherein the processor is further configured to switch autonomous mode based on (a) said real time traffic information and at least one of (b) said itinerary information, (c) said time stamp and (d) said emotion of said user.

7. A method for recommending one or more relevant tasks to an user during a traffic transit time, comprising:

receiving an itinerary information which comprises a source and destination from said user;

receiving a real time traffic information from a navigation unit for said itinerary information;

obtaining a plurality mobile tasks and a time stamp associated to each of said plurality of mobile tasks from a mobile device;

obtaining a plurality of previous tasks by said user, a time period taken by said user to complete each of said plurality of previous tasks, and said itinerary information associated therewith from a content learning and aggregation unit;

obtaining a plurality of entertainment related tasks along with said time stamp for each of said plurality of entertainment related tasks from an entertainment device;

selecting said one or more relevant tasks when a vehicle is approaching the traffic from at least one of (i) said plurality of previous tasks, (ii) said plurality of mobile tasks, and (iii) said plurality of entertainment tasks based on (a) said real time traffic information, (b) said itinerary information and (c) said time stamp; and

displaying said one or more relevant tasks to said user during said traffic transit time in a display and allowing said user to perform said relevant task.

8. The method as claimed in claim 7, wherein said selecting comprises:

estimating an exact traffic transit time from said real time traffic information obtained from said navigation unit;

searching for first relevant tasks from said plurality of previous tasks which are completed in duration of said exact traffic transit time;

searching for second relevant tasks from at least one of said plurality of mobile tasks and said plurality entertainment related tasks which are time stamped for a predefined duration;

displaying said one or more relevant tasks which comprises said first relevant tasks and second relevant tasks;

performing a relevant task from one or more relevant tasks by said user; and

storing said one or more relevant tasks performed by said user along with a time period taken for completing said task and said itinerary information in said content learning and aggregation unit.

9. The method as claimed in claim 7, further comprising:

obtaining an emotion of said user, wherein said plurality of entertainment related tasks is tagged with one or more emotions.

10. The method as claimed in claim 9, wherein said selecting comprises:

estimating an exact traffic transit time from said real time traffic information;

searching for first relevant tasks from said plurality of previous tasks which are completed in duration of said exact traffic transit time;

searching for second relevant tasks from at least one of said plurality of mobile tasks and said plurality entertainment related tasks which are time stamped for a predefined duration;

searching for third relevant tasks from said plurality of entertainment related tasks which are tagged with said emotion;

displaying said one or more relevant tasks which comprises said first relevant tasks, said second relevant tasks and third relevant tasks in a display device;

performing at least one or more relevant tasks by said user; and

storing said one or more relevant tasks performed by said user along with a time period taken for completing said task and said itinerary information.

11. A non-transitory computer-readable medium encoded with instructions that, when executed in hardware, perform a process for recommending one or more relevant tasks to an user during a traffic transit time, the process comprising:

receiving an itinerary information which comprises a source and destination from said user;

receiving a real time traffic information from a navigation unit for said itinerary information;

obtaining a plurality mobile tasks and a time stamp associated to each of said plurality of mobile tasks from a mobile device;

obtaining a plurality of previous tasks by said user, a time period taken by said user to complete each of said plurality of previous tasks, and said itinerary information associated therewith from a content learning and aggregation unit;

obtaining a plurality of entertainment related tasks along with said time stamp for each of said plurality of entertainment related tasks from an entertainment device;

selecting said one or more relevant tasks when a vehicle is approaching the traffic from at least one of (i) said plurality of previous tasks, (ii) said plurality of mobile tasks, and (iii) said plurality of entertainment tasks based on (a) said real time traffic information, (b) said itinerary information and (c) said time stamp; and

displaying said one or more relevant tasks to said user during said traffic transit time in a display and allowing said user to perform said relevant task.

12. The non-transitory computer-readable medium as claimed in claim 11, wherein said selecting comprises:

estimating an exact traffic transit time from said real time traffic information obtained from said navigation unit;

searching for first relevant tasks from said plurality of previous tasks which are completed in duration of said exact traffic transit time;

searching for second relevant tasks from at least one of said plurality of mobile tasks and said plurality entertainment related tasks which are time stamped for a predefined duration;

displaying said one or more relevant tasks which comprises said first relevant tasks and second relevant tasks;

performing a relevant task from one or more relevant tasks by said user; and

storing said one or more relevant tasks performed by said user along with a time period taken for completing said task and said itinerary information in said content learning and aggregation unit.

13. The non-transitory computer-readable medium as claimed in claim 11, the process further comprising:

obtaining an emotion of said user, wherein said plurality of entertainment related tasks is tagged with one or more emotions.

14. The non-transitory computer-readable medium as claimed in claim 13, wherein said selecting comprises:

estimating an exact traffic transit time from said real time traffic information;

searching for first relevant tasks from said plurality of previous tasks which are completed in duration of said exact traffic transit time;

searching for second relevant tasks from at least one of said plurality of mobile tasks and said plurality entertainment related tasks which are time stamped for a predefined duration;

searching for third relevant tasks from said plurality of entertainment related tasks which are tagged with said emotion;

displaying said one or more relevant tasks which comprises said first relevant tasks, said second relevant tasks and third relevant tasks in a display device;

performing at least one or more relevant tasks by said user; and

storing said one or more relevant tasks performed by said user along with a time period taken for completing said task and said itinerary information.