Granted Patent B2

US 12,488,371 · App. 17/092,849 · Granted Dec 2, 2025

Inventors: Hannah Elizabeth Amin (Solon, OH); Alexander Himanshu Amin (Solon, OH); Himanshu Subhash Amin (Solon, OH)

G06Q30/0623G01N33/0031G06F16/9537

Abstract

Claims (74)

1 . A mobile wireless communications device comprising:

a sample delivery component that receives a headspace sample associated with a scent; and

a processor that executes the following computer-executable components stored in a memory:

a detection component that:

analyzes at least a portion of the headspace sample and generates a representation of at least the portion, wherein the representation is one of a spectrogram, a hash, or another signal-derived representation; and

receives extrinsic information from a user, wherein the information comprises a scent to be filtered, the scent being a known scent previously encountered by the user and intended to be excluded from search and match processing;

a filtering component that:

 applies a first filtering criterion to the representation to facilitate identifying candidate matches to the representation; and

 applies a second filtering criterion based upon the received extrinsic information;

a search component that:

 generates a search query based on at least the representation and the filtering criterion the search query excluding results that match the known scent; and

 transmits the search query to a search engine that performs a search for the candidate matches;

an input component that receives a result from the search engine, wherein the result identifies:

 one or more candidate matches or features associated with the scent; and

 wherein the search component generates a subsequent search query to identify a product associated with the identified one or more candidate matches; and

 wherein the system effects purchase of the product in response to a user-initiated command.

2 . The device of claim 1 , further comprising a pattern recognition component that identifies a pattern in an image associate with the headspace sample, wherein the search component further generates the search query based in part on the identified image.

3 . The device of claim 1 , further comprising: an input component that receives a voice command, and wherein the search component further generates the search query based in part on the voice command.

4 . The device of claim 1 , further comprising an inference component that trains a model to identify a source of at least the portion based on a history of identifying portions of headspaces.

5 . The device of claim 1 , wherein the detection component analyzes at least the portion of the headspace sample to detect a presence of an allergen, and the search component generates the search query based on the allergen.

6 . The device of claim 1 , further comprising: an output component that renders the result, wherein the one or more features comprises at least one of a solution to eradicate a plant associated with the scent, a level of danger associated with the scent, or a possible cause of the scent.

7 . A mobile wireless communications device comprising:

a sample delivery component that receives a headspace sample associated with a scent;

and a processor that executes the following computer-executable components stored in a memory:

a detection component that:

analyzes at least a portion of the headspace sample and generates a representation of at least the portion, wherein the representation is one of a spectrogram or a hash spectrogram, a hash, or another signal-derived representation; and

receives extrinsic information from a user, wherein the information comprises a scent to be filtered, the scent being a known scent previously encountered by the user and intended to be excluded from search and match processing;

a filtering component that:

applies a first filtering criterion to the representation, based upon the received extrinsic information, to facilitate removing incorrect candidate matches of the representation;

applies a second filtering criterion to facilitate identifying candidate matches of the representation;

a search component that:

generates a search query based on at least the representation and the filtering criterion, the search query excluding results that match the known scent; and

transmits the search query to a search engine that performs a search for the candidate matches;

an input component that receives a result from the search engine, wherein the result identifies:

one or more candidate matches or features associated with the scent; and

wherein the search component generates a subsequent search query to identify a product associated with the identified one or more candidate matches; and

wherein the system effects purchase of the product in response to a user-initiated command.

8 . The device of claim 7 , wherein: the sample delivery component receives the headspace sample in an area that comprises an animal track; and the search component further generates the search query based at least in part on an image of the animal track.

9 . The device of claim 7 , wherein the detection component determines a level of freshness of an animal track based on a concentration of at least the portion of headspace that is associated with an animal.

10 . The device of claim 7 , further comprising a navigation component that determines, based on a concentration of the representation of at least the portion of headspace, a direction that, when traveled, leads to an animal.

11 . The device of claim 10 , wherein the navigation component further determines a location of the animal based on the direction and a global positioning system.

12 . A method, comprising:

employing a processor, located in a mobile device, to execute computer executable components stored in a memory to perform the following acts:

capturing a headspace of an airborne sample;

analyzing at least a portion of the airborne sample to identify a composition of the headspace and generating a representation of at least the portion, wherein the representation is one of a spectrogram, a hash, or another signal-derived representation;

receiving extrinsic information from a user comprising a scent to be filtered, the scent being a known scent previously encountered by the user and intended to be excluded from search and match processing;

applying a first filtering criterion to the representation to facilitate identifying candidate matches to the representation;

applying a second filtering criterion based upon the received extrinsic information, limiting the number of identified candidate matches by excluding the known scent;

generating a search query based on at least the representation of the airborne sample and the filtering criterion to determine a characteristic of a source of the airborne sample, the search query excluding results matching the known scent;

transmitting the search query to a search engine;

receiving a result from the search engine, wherein the result identifies:

one or more candidate matches or features associated with the scent;

generating a subsequent search query to identify at least one product associated with the identified one or more candidate matches; and

purchasing the identified product.

13 . The method of claim 12 , wherein the probability of whether an allergen is present refers to the likelihood of nuts present in the one or more candidate matches.

14 . The method of claim 12 , wherein the acts further comprise: triggering the capturing of the headspace in response to detecting a triggering event, wherein the triggering event comprises at least one of a sneeze or a user exhaling.

15 . The method of claim 12 , wherein the airborne sample is captured from an exhalation of the user's breath.

16 . The method of claim 15 , wherein the acts further comprise: determining the characteristic as at least one of a level of pleasantness of the user's breath or a blood sugar level of the user.

17 . A mobile phone, comprising:

a wireless transceiver;

a sample delivery component that gathers a headspace sample of an airborne scent; and

a processor that executes the following computer-executable components stored in a memory:

a detection component that:

receives extrinsic information from a user pertaining to an at least one scent to be filtered, the scent being a known scent previously encountered by the user;

generates a representation of a detected composition of the headspace sample, wherein the representation is one of a spectrogram, a hash, or another signal-derived representation;

a filtering component that filters the representation in connection with identifying potential candidate matches for the scent, excluding matches to the known scent prior to generating a search query;

a search component that queries a search engine based on textual data describing the condition of the gathering and the filtered representation of the detected composition, wherein the search engine performs a search to identify candidate matches for the scent;

an input component that wirelessly receives a result from the search engine, wherein the result identifies:

one or more candidate matches or features associated with the scent; and

wherein the search component generates a subsequent search query to identify a product associated with the identified one or more candidate matches; and

an audio recognition component or a text recognition component receives instructions to purchase the identified product, and wherein the system effects purchase of the product.

18 . The mobile phone of claim 17 , wherein the search engine searches a specialized model, based on expert opinions, to generate the result.

19 . The mobile phone of claim 17 , further comprising a navigation component that determines, based on a concentration of the representation, a direction that, when traveled, leads to a source of the headspace sample.

20 . The mobile phone of claim 19 , wherein the navigation component generates a marker identifying a location associated with the gathering the headspace sample and at least one of a date of the receiving the headspace sample, a time of the receiving the headspace sample, or a determined concentration of the source associated with at least the portion of the headspace sample.

Continuity (6)

References Cited (64)