GENERATING ADAPTIVE NOTIFICATION

• US 20170077885A1
• Filed: 09/11/2015
• Published: 03/16/2017
• Est. Priority Date: 09/11/2015
• Status: Active Grant

• Current Assignee: Malikie Innovations Limited (Key Patent Innovations Limited)
• Original Assignee: Blackberry Limited
• Inventors: Ferringo, Bradley, Grenn, John Patrick, Almalki, Nazih
• Granted Patent: US 9,847,764 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G08B 3/10 using electric transmission; using electromagnetic transmission
• CPC Class Codes: G10L 25/18 the extracted parameters being spectral information of each sub-band
• CPC Class Codes: G10L 25/48 specially adapted for particular use
• CPC Class Codes: H03G 3/3005 in amplifiers suitable for low-frequencies, e.g. audio amplifiers H03G3/32, H03G3/34 take precedence
• CPC Class Codes: H04M 1/72454 according to context-related or environment-related conditions
• CPC Class Codes: H04M 19/044 according to the level of ambient noise
• CPC Class Codes: H04M 2250/12 including a sensor for measuring a physical value, e.g. temperature or motion

Abstract

A method for generating adaptive notifications include analyzing, at a user device, a spectrum of environmental noise. A portion of the spectrum for adaptive notification enhancement is selected based on the analyzing the spectrum of environmental noise. An adapted notification is generated at the user device by enhancing the selected portion of the spectrum. The adapted notification is transmitted at the user device.

Claims

1. A method, comprising:

analyzing, at a user device, a spectrum of environmental noise;

selecting, based on analyzing the spectrum of environmental noise, a portion of the spectrum for adaptive notification enhancement, wherein a power level of the environmental noise in the selected portion of the spectrum is less than a predetermined power level;

generating, at the user device, an adapted notification by enhancing a notification on the selected portion of the spectrum; and

transmitting, at the user device, the adapted notification.

2. The method of claim 1, wherein generating the adapted notification comprises:

selecting an enhanced waveform from a plurality of predetermined waveforms; and

adding the selected enhanced waveform to a notification waveform to generate the adapted notification.

3. The method of claim 2, wherein the enhanced waveform is selected based on a context of the notification.

4. The method of claim 3, wherein the context is at least one of a source context or an urgency context.

5. The method of claim 2, wherein each of the plurality of predetermined waveforms is associated with at least one of a plurality of sonic layers, and each of the plurality of sonic layers is associated with a context.

6. The method of claim 1, wherein analyzing the spectrum of environmental noise comprises measuring a frequency distribution of environmental noise using a digital microphone.

7. The method of claim 6, further comprising:

detecting a motion pattern of the user device;

determining a measurement cycle based on the detected motion pattern; and

measuring the frequency distribution according to the measurement cycle.

8. A tangible, non-transitory machine-readable medium encoded with machine-executable instructions, wherein execution of the machine-executable instructions causes a computing device to perform operations comprising:

analyzing a spectrum of environmental noise;

selecting, based on analyzing the spectrum of environmental noise, a portion of the spectrum for adaptive notification enhancement, wherein a power level of the environmental noise in the selected portion of the spectrum is less than a predetermined power level;

generating an adapted notification by enhancing a notification on the selected portion of the spectrum; and

transmitting the adapted notification.

9. The tangible, non-transitory machine-readable medium of claim 8, wherein generating the adapted notification comprises:

selecting an enhanced waveform from a plurality of predetermined waveforms; and

adding the selected enhanced waveform to a notification waveform to generate the adapted notification.

10. The tangible, non-transitory machine-readable medium of claim 9, wherein the enhanced waveform is selected based on a context of the notification.

11. The tangible, non-transitory machine-readable medium of claim 10, wherein the context is at least one of a source context or an urgency context.

12. The tangible, non-transitory machine-readable medium of claim 8, wherein analyzing the spectrum of environmental noise comprises measuring a frequency distribution of environmental noise using a digital microphone.

13. The tangible, non-transitory machine-readable medium of claim 12, wherein the operations further comprise:

detecting a motion pattern of the computing device;

determining a measurement cycle based on the detected motion pattern; and

measuring the frequency distribution according to the measurement cycle.

14. A device, comprising:

a memory; and

at least one hardware processor communicatively coupled with the memory and configured to;

analyze, at the device, a spectrum of environmental noise;

select, based on analyzing the spectrum of environmental noise, a portion of the spectrum for adaptive notification enhancement, wherein a power level of the environmental noise in the selected portion of the spectrum is less than a predetermined power level;

generate, at the device, an adapted notification by enhancing a notification on the selected portion of the spectrum; and

transmit, at the device, the adapted notification.

15. The device of claim 14, wherein generating the adapted notification comprises:

selecting an enhanced waveform from a plurality of predetermined waveforms; and

adding the selected enhanced waveform to a notification waveform to generate the adapted notification.

16. The device of claim 15, wherein the enhanced waveform is selected based on a context of the notification.

17. The device of claim 16, wherein the context is at least one of a source context or an urgency context.

18. The device of claim 15, wherein each of the plurality of predetermined waveforms is associated with at least one of a plurality of sonic layers, and each of the plurality of sonic layers is associated with a context.

19. The device of claim 14, further comprising a digital microphone, and wherein analyzing the spectrum of environmental noise comprises measuring a frequency distribution of environmental noise using the digital microphone.

20. The device of claim 19, further comprising a motion sensor that is configured to detect a motion pattern of the device, and wherein the at least one hardware processor is further configured to:

determine a measurement cycle based on the detected motion pattern; and

measure the frequency distribution according to the measurement cycle.