Application US20180344968

CONTEXT-SENSITIVE SOUNDSCAPE GENERATION
[+] Show Details

US20180344968

1. A computer-implemented method, comprising: (9) (4)

receiving, by one or more processors, a user target cognitive state indicia for identifying a target cognitive state, and a user indicia for identifying a user;

determining, by one or more processors, a present user context, in response to said receiving a user target cognitive state indicia and a user indicia;

performing a machine-learning procedure, by one or more processors, to map the target cognitive state to a set of audio output characteristics; and

generating a context-sensitive soundscape with the set of audio output characteristics, based on the user target cognitive state indicia.

2. The computer-implemented method of claim 1 wherein the target cognitive state is selected from a group consisting of: relaxation, stimulation, falling asleep, and focusing on a task. (0)

3. The computer-implemented method of claim 1 wherein the user indicia is a user cohort indicia that is selected from a group consisting of: demographic indicia, occupational indicia, medical or psychological indicia, cultural indicia, verbal language indicia, written language indicia, and medical history indicia. (0)

4. The computer-implemented method of claim 1, wherein the set of audio output characteristics is selected from a group consisting of: music, environmental sounds, pink noise, white noise, another spectrally-shaped noise, ambient sounds of individuals engaging in an activity, and animal sounds. (0)

5. The computer-implemented method of claim 1, wherein the performing of the machine-learning procedure is based on an assessment of user-related data. (0)

6. The computer-implemented method of claim 1, further comprising collecting feedback and determining a level of effectiveness of the generated audio output for facilitating the target cognitive state, based on the collecting of the feedback. (0)

7. The computer-implemented method of claim 1, further comprising using a multi-dimensional array configured for associating each of a respective plurality of cognitive states, including the target cognitive state, with at least one corresponding user cohort, at least one corresponding user medical or psychological condition, at least one corresponding user demographic, at least one corresponding task, or at least one context. (1) (0)

9. The computer-implemented method of claim 1, wherein the set of audio output characteristics comprises a binaural beat comprising a first tone and a second tone, and the method further comprises feeding the first tone to a right-side element of a set of headphones, and feeding the second tone to a left-side element of the set of headphones, such that the first tone is fed to the right-side element for presentation to a right ear of the user, and the second tone is fed to the left-side element for presentation to a left ear of the user. (0)

10. The computer-implemented method of claim 1, wherein the machine-learning procedure further comprises learning one or more SPLs; and modulating the one or more SPLs to enhance the noise masking. (0)

11. The computer-implemented method of claim 1, wherein the machine-learning procedure further comprises modulating ambient noise. (0)

12. A computer program product, the computer program product comprising a computer-readable storage medium having a computer-readable program stored therein, wherein the computer-readable program, when executed on a computer including at least one processor, causes the at least one processor to: (6) (4)

receive a user target cognitive state indicia for identifying a target cognitive state, and a user indicia for identifying a user;

determine a present user context, in response to said receiving a user target cognitive state indicia and a user indicia;

perform a machine-learning procedure, by one or more processors, to map the target cognitive state to a set of audio output characteristics; and

generate a context-sensitive soundscape with the set of audio output characteristics, based on the user target cognitive state indicia.

13. The computer program product of claim 12 wherein the target cognitive state is selected from a group consisting of: relaxation, stimulation, falling asleep, and focusing on a task. (0)

14. The computer program product of claim 12 wherein the user indicia is a user cohort indicia that is selected from a group consisting of: demographic indicia, occupational indicia, medical or psychological indicia, cultural indicia, verbal language indicia, written language indicia, and medical history indicia. (0)

15. The computer program product of claim 12, wherein the set of audio output characteristics is selected from a group consisting of: music, environmental sounds, pink noise, white noise, another spectrally-shaped noise, ambient sounds of individuals engaging in an activity, and animal sounds. (0)

16. The computer program product of claim 12, wherein the performing of the machine-learning procedure is based on an assessment of user-related data. (0)

17. The computer program product of claim 12, further comprising collecting feedback and determining a level of effectiveness of the generated audio output for facilitating the target cognitive state, based on the collecting of the feedback. (0)

18. The computer program product of claim 12, further comprising using a multi-dimensional array configured for associating each of a respective plurality of cognitive states, including the target cognitive state, with at least one corresponding user cohort, at least one corresponding user medical or psychological condition, at least one corresponding user demographic, at least one corresponding task, or at least one context. (0)

19. A system for generating a context-sensitive soundscape, the system comprising a computer including at least one processor and a memory coupled to the at least one processor, wherein the memory comprises instructions which, when executed by the at least one processor, cause the at least one processor to: (1) (4)

receive a user target cognitive state indicia for identifying a target cognitive state, and a user indicia for identifying a user;

determine a present user context, in response to said receiving a user target cognitive state indicia and a user indicia;

perform a machine-learning procedure, by one or more processors, to map the target cognitive state to a set of audio output characteristics; and

generate a context-sensitive soundscape with the set of audio output characteristics, based on the user target cognitive state indicia.

20. The system of claim 19 wherein the target cognitive state is selected from a group consisting of: relaxation, stimulation, falling asleep, and focusing on a task. (0)

View Abstract and Specification Size

PDF with Images and Document Face >

Full Text Publication >

Application US20180344968

CONTEXT-SENSITIVE SOUNDSCAPE GENERATION

Patent Matrix® Search