http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115145402-A

Outgoing Links

Predicate Object
assignee http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_768fe5c6605e76451e82ac0ae179ecc7
classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-56
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A63H33-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F3-017
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G10L13-02
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-764
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V40-28
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A63H33-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-764
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-56
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V40-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F3-01
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G10L13-02
filingDate 2022-09-01-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e00f5e332217b700a5cf853f8c9d3013
publicationDate 2022-10-04-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-115145402-A
titleOfInvention Intelligent toy system and control method with network interaction function
abstract The invention discloses an intelligent toy system with network interaction function and a control method, comprising a feature collection module, a learning module, a processing module, a tracking module and an identification module. The feature collection module collects user features, and the learning module trains a processing module according to the user feature data. The internal feature model is used to classify the feature data. After receiving the user feature data, the processing module selects the interaction data that matches the current feature data according to the feature model, and controls the toy to interact with the user based on the interaction data. In the process of collecting user features, the toy control system can continuously train the feature model according to the user feature data, so that the system can identify multiple users and make different interactions according to the interests of different users, and has stronger applicability.
priorityDate 2022-09-01-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

Incoming Links

Predicate Subject
isDiscussedBy http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID456171974

Total number of triples: 22.