IDENTIFYING WIND DIRECTION AND WIND SPEED USING WIND NOISE

• US 20130204532A1
• Filed: 02/06/2012
• Published: 08/08/2013
• Est. Priority Date: 02/06/2012
• Status: Abandoned Application

• Current Assignee: Sony Mobile Communications AB (Sony Group Corp.)
• Original Assignee: Sony Ericsson Mobile Communications AB (Sony Group Corp.)
• Inventors: Nystrm, Martin, Raoufi, Matthew
• Application Number:
  US13/366,437
• Publication Number:
  US 20130204532A1
• Time in Patent Office: Days
• US Class Current: 702/3
• CPC Class Codes: G01P 5/24 by measuring the direct influence of the streaming fluid on the properties of a detecting acoustical wave
• CPC Class Codes: H04M 1/05 specially adapted for use on head, throat or breast
• CPC Class Codes: H04M 2250/12 including a sensor for measuring a physical value, e.g. temperature or motion
• CPC Class Codes: H04R 5/033 Headphones for stereophonic communication details thereof, e.g. relating to batteries, cables or control elements H04R1/10

Abstract

A headset device includes binaural wind sensors to receive wind noise. The binaural wind sensors include a left wind sensor and a right wind sensor. The headset device includes a processor to execute instructions to receive wind noise induced by wind at the binaural wind sensors. The processor is also to determine a sound energy density distribution of the wind noise. The processor is to match the sound energy density distribution to one of a plurality of reference sound energy density distributions. Each of the plurality of reference sound energy density distributions includes an associated wind speed and wind direction. The processor is further to identify a wind speed and a wind direction corresponding to the matched reference sound energy density distribution.

Claims

1. A computer-implemented method for a headset that includes binaural wind sensors to receive wind noise, wherein the binaural wind sensors include a left wind sensor and a right wind sensor, comprising:

receiving wind noise induced by wind at the binaural wind sensors;

determining a sound energy density distribution of the wind noise;

matching the sound energy density distribution to one of a plurality of reference sound energy density distributions, wherein each of the plurality of reference sound energy density distributions includes an associated wind speed and wind direction; and

identifying a wind speed and a wind direction corresponding to the matched reference sound energy density distribution.

2. The computer-implemented method of claim 1, further comprising:

identifying a ground speed associated with a user of the headset; and

determining a user generated velocity of the user based on the ground speed and the wind speed and wind direction.

3. The computer-implemented method of claim 2, further comprising:

determining one or more of a user energy consumption, or a user calorie consumption based on the user generated velocity.

4. The computer-implemented method of claim 1, further comprising:

outputting the wind speed and wind direction to at least one associated device, wherein the at least one associated device is at least one of a digital running device, a wearable body monitor, a smart watch, or a mobile phone and the at least one associated device displays the wind speed and the wind direction.

5. The computer-implemented method of claim 1, wherein identifying the wind speed and the wind direction corresponding to the matched reference sound energy density distribution further comprises:

identifying a wind direction perpendicular to a lateral plane of the headset, wherein the wind direction is one of a tailwind or a headwind; and

differentiating between the headwind and the tailwind based on a side vector component of the headwind or tailwind.

6. The computer-implemented method of claim 1, wherein identifying the wind direction further comprises:

determining a difference in sound energy density value between wind noise at the left wind sensor and wind noise at the right wind sensor.

7. The computer-implemented method of claim 1, wherein the headset includes at least one associated sensor comprising one of a thermometer, or a barometer, the method further comprising:

determining an adjusted performance of a user based on the wind speed, wind direction and a metric determined by the at least one associated sensor.

8. The computer-implemented method of claim 1, further comprising:

determining a correlation between each of the plurality of reference sound energy density distributions and the associated wind speed and wind direction using a head mount sensing and positioning system.

9. The computer-implemented method of claim 1, further comprising:

determining a first ground speed of a user in a first direction; and

determining a second ground speed of the user in an opposite direction to the first direction;

subtracting the second ground speed from the first ground speed to determine a difference between the second ground speed and the first ground speed; and

dividing the difference by two to determine the wind speed.

10. The computer-implemented method of claim 1, wherein the headset comprises one of an in-ear design headset or an on-ear design headset.

11. A headset device, comprising:

binaural wind sensors configured to receive wind noise, wherein the binaural wind sensors include a left wind sensor and a right wind sensor;

a memory to store a plurality of instructions; and

a processor configured to execute instructions in the memory to;

receive wind noise generated by wind at the binaural wind sensors;

determine a sound energy density distribution of the wind noise;

match the sound energy density distribution to one of a plurality of reference sound energy density distributions, wherein each of the plurality of reference sound energy density distributions includes an associated wind speed and wind direction; and

identify a wind speed and a wind direction corresponding to the matched reference sound energy density distribution.

12. The headset device of claim 11, wherein the processor is further configured to:

identify a ground speed associated with a user of the headset; and

determine a user generated velocity of the user based on the ground speed and the wind speed and wind direction.

13. The headset device of claim 12, wherein the processor is further configured to:

determine one or more of a user energy consumption, or a user calorie consumption based on the user generated velocity.

14. The headset device of claim 11, wherein the processor is further configured to:

output the wind speed and wind direction to at least one associated device, wherein the at least one associated device is at least one of a digital running device, a wearable body monitor, a smart watch, or a mobile phone and the at least one associated device displays the wind speed and the wind direction.

15. The headset device of claim 11, wherein, when identifying the wind speed and the wind direction corresponding to the matched reference sound energy density distribution, the processor is further configured to:

identify a wind direction perpendicular to a lateral plane of the headset, wherein the wind direction is one of a tailwind or a headwind; and

differentiate between the headwind and the tailwind based on a side vector component of the headwind or tailwind.

16. The headset device of claim 11, wherein the headset is geometrically designed to substantially maximize the wind noise induced at the binaural wind sensors.

17. The headset device of claim 11, wherein the headset comprises one of an in-ear design headset and an on-ear design headset.

18. A computer-readable medium including instructions to be executed by a processor, the instructions including one or more instructions, when executed by the processor, for causing the processor to:

receive wind noise induced by wind at binaural wind sensors, wherein the binaural wind sensors include a left wind sensor and a right wind sensor;

determine a sound energy density distribution of the wind noise;

match the sound energy density distribution to one of a plurality of reference sound energy density distributions, wherein each of the plurality of reference sound energy density distributions includes an associated wind speed and wind direction; and

identify a wind speed and a wind direction corresponding to the matched reference sound energy density distribution.

19. The computer-readable medium of claim 18, wherein the one or more instructions further includes instructions to:

identify a ground speed associated with a user of the headset; and

determine a user generated velocity of the user based on the ground speed and the wind speed and wind direction.

20. The computer-readable medium of claim 18, wherein, when identifying the wind speed and the wind direction corresponding to the matched reference sound energy density distribution, the one or more instructions further includes instructions to:

identify a wind direction perpendicular to a lateral plane of the headset, wherein the wind direction is one of a tailwind or a headwind; and

differentiate between the headwind and the tailwind based on a side vector component of the headwind or tailwind.