http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2018009890-A1

Outgoing Links

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assignee http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_546a8765bffeadc5ae0c0d6248179e2b
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classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-053
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-16
filingDate 2017-07-07-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_2e37be224bfdf3ffb23412cad0ec0de1
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_5192733ffdfef161afee57b6e0c0ff4c
publicationDate 2018-01-11-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber WO-2018009890-A1
titleOfInvention Relationship analysis utilizing biofeedback information
abstract First sensor data may be acquired from a first galvanic skin response sensor monitoring a first user. Second sensor data may be acquired from a second galvanic skin response sensor monitoring a second user. At least one programmable processor may generate a compatibility score between the first user and the second user. The generating may include executing a compatibility algorithm to generate the compatibility score based at least on a comparison of at least one type of response contained in the first sensor data and the second sensor data. A client device may generate an electronic indication of the compatibility score.
priorityDate 2016-07-08-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

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Total number of triples: 25.