System and method for controlling colors of smart lights based on user intent using natural language processing
According to one embodiment, in response to a text stream originated from a user at an electronic device (e.g., home device), a natural language processing (NLP) operation is performed on the text stream. An object described by the text stream is determined based on the NLP operation. One or more colors associated with the object are determined. A light control command is then transmitted from the electronic device to each of the smart lights to control a color of the smart light based on the one or more colors associated with the object, such that the smart lights are lit with the colors associated with the object. The text stream may be converted from a voice stream using a speech recognition process.
1. A computer-implemented method for controlling smart lights, the method comprising:
in response to a text stream in a text format originated from a user at an electronic device, performing a natural language processing (NLP) operation on the text stream;
determining an object described by the text stream based on the NLP processing operation and a machine-learning model;
determining one or more colors associated with the object by using a color database within the electronic device and if the one or more colors associated with the object cannot be determined using the color database:
transmitting an image search request to a remote image search server to search possible images concerning the object; and
in response to an image received from the remote image search server, performing an image analysis on the image to determine the one or more colors from the image; and
transmitting a light control command from the electronic device to each of a plurality of smart lights to control a color of each smart light based on the one or more colors associated with the object, such that the smart lights are lit with colors that are associated with the object.
2. The method of claim 1 , further comprising:
receiving a voice stream having a voice command originated from the user; and
performing a speech recognition on the voice stream to transcribe the voice stream to generate the text stream.
3. The method of claim 1 , wherein determining one or more colors associated with the object comprises:
performing a search in a subject matter-to-color (subject matter/color) mapping table based on a subject matter associated with the object to locate a mapping entry matching the subject matter of the object; and
obtaining the one or more colors from the matching entry of the subject matter/color mapping table.
4. The method of claim 3 , wherein the subject matter/color mapping table includes a plurality of mapping entries, each mapping entry mapping a particular subject matter to one or more colors.
5. The method of claim 1 , further comprising determining a light emitting pattern based on the NLP operation of the text stream, wherein the light control command further includes information indicating the light emitting pattern, such that the smart lights emit according to the light emitting pattern.
6. The method of claim 5 , wherein determining a light emitting pattern comprises:
detecting a predetermined phrase from the text stream based on the NLP operation;
performing a lookup operation in a phrase-to-pattern (phrase/pattern) mapping table based on the predetermined phrase to locate a mapping entry matching the predetermined phrase; and
obtaining the light emitting pattern from the matching entry.
7. The method of claim 6 , wherein the phrase/pattern mapping table includes a plurality of mapping entries, each mapping entry mapping a particular phrase to a particular emitting pattern.
8. A non-transitory machine-readable medium having instructions stored therein, which when executed by a processor, cause the processor to perform operations, the operations comprising:
in response to a text stream in a text format originated from a user, performing a natural language processing (NLP) operation on the text stream;
determining an object described by the text stream based on the NLP processing operation and a machine-learning model;
determining one or more colors associated with the object by using a color database within the electronic device and if the one or more colors associated with the object cannot be determined using the color database:
transmitting an image search request to a remote image search server to search possible images concerning the object; and
in response to an image received from the remote image search server, performing an image analysis on the image to determine the one or more colors from the image; and
transmitting a light control command to each of a plurality of smart lights to control a color of each smart light based on the one or more colors associated with the object, such that the smart lights are lit with colors that are associated with the object.
9. The machine-readable medium of claim 8 , wherein the operations further comprise:
receiving a voice stream having a voice command originated from the user; and
performing a speech recognition on the voice stream to transcribe the voice stream to generate the text stream.
10. The machine-readable medium of claim 8 , wherein determining one or more colors associated with the object comprises:
performing a search in a subject matter-to-color (subject matter/color) mapping table based on a subject matter associated with the object to locate a mapping entry matching the subject matter of the object; and
obtaining the one or more colors from the matching entry of the subject matter/color mapping table.
11. The machine-readable medium of claim 10 , wherein the subject matter/color mapping table includes a plurality of mapping entries, each mapping entry mapping a particular subject matter to one or more colors.
12. The machine-readable medium of claim 8 , wherein the operations further comprise determining a light emitting pattern based on the NLP operation of the text stream, wherein the light control command further includes information indicating the light emitting pattern, such that the smart lights emit according to the light emitting pattern.
13. The machine-readable medium of claim 12 , wherein determining a light emitting pattern comprises:
detecting a predetermined phrase from the text stream based on the NLP operation;
performing a lookup operation in a phrase-to-pattern (phrase/pattern) mapping table based on the predetermined phrase to locate a mapping entry matching the predetermined phrase; and
obtaining the light emitting pattern from the matching entry.
14. The machine-readable medium of claim 13 , wherein the phrase/pattern mapping table includes a plurality of mapping entries, each mapping entry mapping a particular phrase to a particular emitting pattern.
15. A data processing system, comprising:
a processor; and
a memory coupled to the processor to store instructions, which when executed by the processor, cause the processor to perform operations, the operations including in response to a text stream in a text format originated from a user, performing a natural language processing (NLP) operation on the text stream,
determining an object described by the text stream based on the NLP processing operation and a machine-learning model,
determining one or more colors associated with the object by using a color database within the electronic device and if the one or more colors associated with the object cannot be determined using the color database:
transmitting an image search request to a remote image search server to search possible images concerning the object, and
in response to an image received from the remote image search server, performing an image analysis on the image to determine the one or more colors from the image, and
transmitting a light control command to each of a plurality of smart lights to control a color of each smart light based on the one or more colors associated with the object, such that the smart lights are lit with colors that are associated with the object.
16. The system of claim 15 , wherein the operations further comprise:
receiving a voice stream having a voice command originated from the user; and
performing a speech recognition on the voice stream to transcribe the voice stream to generate the text stream.
17. The system of claim 15 , wherein determining one or more colors associated with the object comprises:
performing a search in a subject matter-to-color (subject matter/color) mapping table based on a subject matter associated with the object to locate a mapping entry matching the subject matter of the object; and
obtaining the one or more colors from the matching entry of the subject matter/color mapping table.
18. The system of claim 17 , wherein the subject matter/color mapping table includes a plurality of mapping entries, each mapping entry mapping a particular subject matter to one or more colors.
19. The system of claim 15 , wherein the operations further comprise determining a light emitting pattern based on the NLP operation of the text stream, wherein the light control command further includes information indicating the light emitting pattern, such that the smart lights emit according to the light emitting pattern.