{"id":"https://openalex.org/W2552929382","doi":"https://doi.org/10.5281/zenodo.1179096","title":"Creating Biosignal Algorithms For Musical Applications From An Extensive Physiological Database","display_name":"Creating Biosignal Algorithms For Musical Applications From An Extensive Physiological Database","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W2552929382","doi":"https://doi.org/10.5281/zenodo.1179096","mag":"2552929382"},"language":"en","primary_location":{"id":"pmh:oai:vtechworks.lib.vt.edu:10919/80529","is_oa":false,"landing_page_url":"http://hdl.handle.net/10919/80529","pdf_url":null,"source":{"id":"https://openalex.org/S4306400248","display_name":"VTechWorks (Virginia Tech)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I859038795","host_organization_name":"Virginia Tech","host_organization_lineage":["https://openalex.org/I859038795"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference proceeding"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://zenodo.org/record/1179096","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086956867","display_name":"Javier Jaimovich","orcid":"https://orcid.org/0000-0002-5171-5757"},"institutions":[{"id":"https://openalex.org/I69737025","display_name":"University of Chile","ror":"https://ror.org/047gc3g35","country_code":"CL","type":"education","lineage":["https://openalex.org/I69737025"]}],"countries":["CL"],"is_corresponding":true,"raw_author_name":"Jaimovich, Javier","raw_affiliation_strings":["Departamento de M\u00fasica y Sonolog\u00eda, Universidad de Chile#TAB#"],"affiliations":[{"raw_affiliation_string":"Departamento de M\u00fasica y Sonolog\u00eda, Universidad de Chile#TAB#","institution_ids":["https://openalex.org/I69737025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013679270","display_name":"Raymond Knapp","orcid":"https://orcid.org/0000-0003-1540-8685"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Knapp, R. Benjamin","raw_affiliation_strings":["Institute for Creativity, Arts and Technology, Virginia Tech#TAB#"],"affiliations":[{"raw_affiliation_string":"Institute for Creativity, Arts and Technology, Virginia Tech#TAB#","institution_ids":["https://openalex.org/I859038795"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5086956867"],"corresponding_institution_ids":["https://openalex.org/I69737025"],"apc_list":null,"apc_paid":null,"fwci":0.3306,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.62853349,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10788","display_name":"Neuroscience and Music Perception","score":0.9894999861717224,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9621000289916992,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/biosignal","display_name":"Biosignal","score":0.9631242752075195},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7118827700614929},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6012202501296997},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.5878899693489075},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4079224765300751},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3943159878253937},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3694525957107544},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33359861373901367},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3281254172325134},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15513858199119568},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.139685720205307},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11085626482963562},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.07982233166694641}],"concepts":[{"id":"https://openalex.org/C2779055241","wikidata":"https://www.wikidata.org/wiki/Q644240","display_name":"Biosignal","level":3,"score":0.9631242752075195},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7118827700614929},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6012202501296997},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.5878899693489075},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4079224765300751},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3943159878253937},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3694525957107544},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33359861373901367},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3281254172325134},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15513858199119568},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.139685720205307},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11085626482963562},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.07982233166694641},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:vtechworks.lib.vt.edu:10919/80529","is_oa":false,"landing_page_url":"http://hdl.handle.net/10919/80529","pdf_url":null,"source":{"id":"https://openalex.org/S4306400248","display_name":"VTechWorks (Virginia Tech)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I859038795","host_organization_name":"Virginia Tech","host_organization_lineage":["https://openalex.org/I859038795"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference proceeding"},{"id":"pmh:oai:zenodo.org:1179096","is_oa":true,"landing_page_url":"https://zenodo.org/record/1179096","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"},{"id":"doi:10.5281/zenodo.1179096","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.1179096","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:1179096","is_oa":true,"landing_page_url":"https://zenodo.org/record/1179096","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W427884271","https://openalex.org/W1041962270","https://openalex.org/W1537207561","https://openalex.org/W1586692934","https://openalex.org/W1988082944","https://openalex.org/W2034756198","https://openalex.org/W2293081071","https://openalex.org/W2400679648","https://openalex.org/W3084563487"],"related_works":["https://openalex.org/W2091829118","https://openalex.org/W2587897362","https://openalex.org/W1932103255","https://openalex.org/W2061955194","https://openalex.org/W2129932053","https://openalex.org/W1528902059","https://openalex.org/W2084392734","https://openalex.org/W1993255707","https://openalex.org/W1983144300","https://openalex.org/W41299578","https://openalex.org/W2032726375","https://openalex.org/W2526681370","https://openalex.org/W73871071","https://openalex.org/W12206354","https://openalex.org/W1965653809","https://openalex.org/W1560346234","https://openalex.org/W160173434","https://openalex.org/W2566969886","https://openalex.org/W60026746","https://openalex.org/W1565495104"],"abstract_inverted_index":{"Previously":[0],"the":[1,27,33,60,64],"design":[2],"of":[3,21,48,62,66],"algorithms":[4,49],"and":[5,53],"parameter":[6],"calibration":[7,65],"for":[8,50],"biosignal":[9],"music":[10],"performances":[11],"has":[12],"been":[13],"based":[14],"on":[15],"testing":[16],"with":[17],"a":[18,44],"small":[19],"number":[20],"individuals":[22],"-":[23],"in":[24],"fact":[25],"usually":[26],"performer":[28],"themselves.":[29],"This":[30],"paper":[31],"uses":[32],"data":[34],"collected":[35],"from":[36],"over":[37],"4000":[38],"people":[39],"to":[40,42],"begin":[41],"create":[43],"truly":[45],"robust":[46],"set":[47],"heart":[51],"rate":[52],"electrodermal":[54],"activity":[55],"measures,":[56],"as":[57,59],"well":[58],"understanding":[61],"how":[63],"these":[67],"vary":[68],"by":[69],"individual.":[70]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
