Mobile communications device with electronic nose

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 a spectrogram;
• and
• receives extrinsic information from a user, wherein the information comprises a scent to be filtered;
• 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;
• and
• 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.

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 com position of the headspace and generating a representation of at least the portion, wherein the representation is a signal-derived representation;
• receiving extrinsic information from a user comprising a scent to be filtered, the scent being a known scent 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.

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;
• generates a representation of a detected composition of the headspace sample, wherein the representation is a 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, wherein the system effects purchase of the product.