SYSTEMS AND METHODS FOR HANDHELD DEVICE BASED BATTERY EFFICIENT CONTEXT MONITORING, DETECTION OF A VEHICULAR MOTION AND IDENTIFICATION OF A SPECIFIC VEHICLE

• US 20150323324A1
• Filed: 04/23/2014
• Published: 11/12/2015
• Est. Priority Date: 04/23/2013
• Status: Active Grant

• Current Assignee: Driveway Software Corporation (Earnix, Ltd.)
• Original Assignee: Driveway Software Corporation (Earnix, Ltd.)
• Inventors: Katsman, Igor
• Granted Patent: US 9,200,906 B1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G01C 21/20 Instruments for performing navigational calculations G01C21/24, G01C21/26 take precedence
• CPC Class Codes: G01S 19/13 Receivers
• CPC Class Codes: G01S 19/34 Power consumption
• CPC Class Codes: G01S 5/017 Detecting state or type of motion

Abstract

A method performed in connection with a handheld communication device for monitoring a context in a battery efficient manner and for detecting a vehicular motion context, the handheld communication device comprising a GPS hardware component, a network-based position estimation component and a data processor, the method comprising: acquiring a sequence of location data readings using the network-based position estimation component; identifying a non-vehicular motion context based on changes in the acquired sequence of the location data readings; if the non-vehicular motion context is identified, continuing to acquire the sequence of the location data readings; if the non-vehicular motion context is not identified, powering on the GPS hardware component and acquiring speed data using the GPS hardware component, determining whether the acquired speed is within predetermined vehicular speed ranges and identifying either a vehicular motion context or the non-vehicular motion context.

Claims

1. A method performed in connection with a handheld communication device for monitoring a context in a battery efficient manner and for detecting a vehicular context, the handheld communication device comprising a GPS hardware component, a network-based position estimation component and a data processor, the method comprising:

acquiring a sequence of location data readings using the network-based position estimation component;

identifying a non-vehicular context based on changes in the acquired sequence of the location data readings;

when the non-vehicular context is identified, continuing to acquire the sequence of the location data readings;

when the non-vehicular context is not identified, powering on the GPS hardware component and acquiring speed data using the GPS hardware component, determining whether the acquired speed is within predetermined vehicular speed ranges and identifying either a vehicular context or the non-vehicular context;

when the vehicular context is not identified, powering off the GPS hardware component to save battery power;

when the vehicular context is identified, detecting a start of a driving trip as a moment when first driving speed data is observed; and

when the vehicular context is identified, detecting the end of driving trip as a moment when last driving speed data is observed.

2. The method of claim 1, further comprising:

acquiring, saving and digital signal processing a location data to identify the vehicular context.

3. The method of claim 1, wherein the handheld communication device further comprises a Bluetooth component, the method further comprising:

acquiring Bluetooth context data using the Bluetooth component; and

identifying a specific vehicle by comparing the acquired Bluetooth context data to a unique Bluetooth identification of a vehicle related Bluetooth device.

4. The method of claim 1, wherein the handheld communication device further comprises a microphone component, the method further comprising:

acquiring sound context data using the microphone component; and

identifying a specific vehicle by comparing the acquired sound context data to unique sound patterns of at least one vehicle.

5. A non-transitory computer readable medium embodying a set of computer executable instructions, which, when executed in connection with a handheld communication device comprising a GPS hardware component, a network-based position estimation component and a data processor, causes the handheld communication device to perform a method for monitoring a context in a battery efficient manner and for detecting a vehicular context, the method comprising:

acquiring a sequence of location data readings using the network-based position estimation component;

identifying a non-vehicular context based on changes in the acquired sequence of the location data readings;

when the non-vehicular context is identified, continuing to acquire the sequence of the location data readings;

when the non-vehicular context is not identified, powering on the GPS hardware component and acquiring speed data using the GPS hardware component, determining whether the acquired speed is within predetermined vehicular speed ranges and identifying either a vehicular context or the non-vehicular context;

when the vehicular context is not identified, powering off the GPS hardware component to save battery power;

when the vehicular context is identified, detecting a start of a driving trip as a moment when first driving speed data is observed; and

when the vehicular context is identified, detecting the end of driving trip as a moment when last driving speed data is observed.

6. The non-transitory computer readable medium of claim 5, wherein the method further comprises:

acquiring, saving and digital signal processing a location data to identify the vehicular context.

7. The non-transitory computer readable medium of claim 5, wherein the handheld communication device further comprises a Bluetooth component, and wherein the method further comprises:

acquiring Bluetooth context data using the Bluetooth component; and

identifying a specific vehicle by comparing the acquired Bluetooth context data to a unique Bluetooth identification of a vehicle related Bluetooth device.

8. The non-transitory computer readable medium of claim 5, wherein the handheld communication device further comprises a microphone component, and wherein the method further comprises:

acquiring sound context data using the microphone component; and

identifying a specific vehicle by comparing the acquired sound context data to unique sound patterns of at least one vehicle.

9. A method performed in connection with a handheld communication device for monitoring a context in a battery efficient manner and for detecting a vehicular context, the handheld communication device comprising a GPS hardware component, a proximity component and a data processor, the method comprising:

acquiring proximity data using the proximity component;

processing the acquired proximity data to identify a vehicular context;

when the vehicular context is identified, powering on the GPS hardware component and acquiring speed data using the GPS hardware component, determining whether the acquired speed is within predetermined vehicular speed ranges and identifying either a vehicular context or the non-vehicular context;

when the vehicular context is not identified, powering off the GPS hardware component to save battery power;

when the vehicular context is identified, detecting a start of a driving trip as a moment when first driving speed data is observed; and

when the vehicular context is identified, detecting the end of driving trip as a moment when last driving speed data is observed.

10. The method of claim 9, wherein the proximity component operates in accordance with a Bluetooth protocol.

11. The method of claim 9, wherein the proximity component operates in accordance with a RFID protocol.

12. The method of claim 9, wherein the proximity component operates in accordance with a NFC protocol.

13. The method of claim 9, wherein the handheld communication device comprises a Bluetooth component, the method further comprising:

acquiring Bluetooth context data using the Bluetooth component; and

identifying a specific vehicle by comparing the acquired Bluetooth context data to a unique Bluetooth identification of a vehicle related Bluetooth device.

14. The method of claim 9, wherein the handheld communication device comprises a microphone component, the method further comprising:

acquiring sound context data using the microphone component; and

identifying a specific vehicle by comparing the acquired sound context data to unique sound patterns of at least one vehicle.