{"id":"https://openalex.org/W2518488749","doi":"https://doi.org/10.1145/2971648.2971654","title":"An affect detection technique using mobile commodity sensors in the wild","display_name":"An affect detection technique using mobile commodity sensors in the wild","publication_year":2016,"publication_date":"2016-09-09","ids":{"openalex":"https://openalex.org/W2518488749","doi":"https://doi.org/10.1145/2971648.2971654","mag":"2518488749"},"language":"en","primary_location":{"id":"doi:10.1145/2971648.2971654","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2971648.2971654","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://zenodo.org/record/3495953","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083410044","display_name":"Aske Mottelson","orcid":"https://orcid.org/0000-0003-1827-8513"},"institutions":[{"id":"https://openalex.org/I124055696","display_name":"University of Copenhagen","ror":"https://ror.org/035b05819","country_code":"DK","type":"education","lineage":["https://openalex.org/I124055696"]}],"countries":["DK"],"is_corresponding":true,"raw_author_name":"Aske Mottelson","raw_affiliation_strings":["University of Copenhagen, Njalsgade, Copenhagen, Denmark"],"affiliations":[{"raw_affiliation_string":"University of Copenhagen, Njalsgade, Copenhagen, Denmark","institution_ids":["https://openalex.org/I124055696"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015615908","display_name":"Kasper Hornb\u00e6k","orcid":"https://orcid.org/0000-0001-8742-1198"},"institutions":[{"id":"https://openalex.org/I124055696","display_name":"University of Copenhagen","ror":"https://ror.org/035b05819","country_code":"DK","type":"education","lineage":["https://openalex.org/I124055696"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Kasper Hornb\u00e6k","raw_affiliation_strings":["University of Copenhagen, Njalsgade, Copenhagen, Denmark"],"affiliations":[{"raw_affiliation_string":"University of Copenhagen, Njalsgade, Copenhagen, Denmark","institution_ids":["https://openalex.org/I124055696"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5083410044"],"corresponding_institution_ids":["https://openalex.org/I124055696"],"apc_list":null,"apc_paid":null,"fwci":4.1322,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.93382934,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"781","last_page":"792"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9993000030517578,"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"}},{"id":"https://openalex.org/T10803","display_name":"Innovative Human-Technology Interaction","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12496","display_name":"Color perception and design","score":0.98580002784729,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social 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/affect","display_name":"Affect (linguistics)","score":0.9166191220283508},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5810463428497314},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5023767948150635},{"id":"https://openalex.org/keywords/commodity","display_name":"Commodity","score":0.44608959555625916},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.43859076499938965},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4027141332626343},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3882938325405121},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.371793270111084},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.26475080847740173},{"id":"https://openalex.org/keywords/communication","display_name":"Communication","score":0.161403089761734},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.10975009202957153}],"concepts":[{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.9166191220283508},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5810463428497314},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5023767948150635},{"id":"https://openalex.org/C2779439359","wikidata":"https://www.wikidata.org/wiki/Q317088","display_name":"Commodity","level":2,"score":0.44608959555625916},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.43859076499938965},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4027141332626343},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3882938325405121},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.371793270111084},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.26475080847740173},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.161403089761734},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.10975009202957153},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/2971648.2971654","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2971648.2971654","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/fc6d24db-559b-4586-ba63-068f06c4d7f9","is_oa":false,"landing_page_url":"https://curis.ku.dk/portal/da/publications/an-affect-detection-technique-using-mobile-commodity-sensors-in-the-wild(fc6d24db-559b-4586-ba63-068f06c4d7f9).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306401983","display_name":"Research at the University of Copenhagen (University of Copenhagen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I124055696","host_organization_name":"University of Copenhagen","host_organization_lineage":["https://openalex.org/I124055696"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Mottelson , A & Hornb\u00e6k , K 2016 , An affect detection technique using mobile commodity sensors in the wild . in Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing . Association for Computing Machinery , pp. 781-792 , 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing , Heidelberg , Germany , 12/09/2016 . https://doi.org/10.1145/2971648.2971654","raw_type":"contributionToPeriodical"},{"id":"pmh:oai:pure.atira.dk:publications/fc6d24db-559b-4586-ba63-068f06c4d7f9","is_oa":false,"landing_page_url":"https://researchprofiles.ku.dk/da/publications/fc6d24db-559b-4586-ba63-068f06c4d7f9","pdf_url":null,"source":{"id":"https://openalex.org/S4306401983","display_name":"Research at the University of Copenhagen (University of Copenhagen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I124055696","host_organization_name":"University of Copenhagen","host_organization_lineage":["https://openalex.org/I124055696"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Mottelson , A & Hornb\u00e6k , K 2016 , An affect detection technique using mobile commodity sensors in the wild . in Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing . Association for Computing Machinery , pp. 781-792 , 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing , Heidelberg , Germany , 12/09/2016 . https://doi.org/10.1145/2971648.2971654","raw_type":"contributionToPeriodical"},{"id":"pmh:oai:zenodo.org:3495953","is_oa":true,"landing_page_url":"https://zenodo.org/record/3495953","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"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:3495953","is_oa":true,"landing_page_url":"https://zenodo.org/record/3495953","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":[{"id":"https://openalex.org/G32351465","display_name":null,"funder_award_id":"648785","funder_id":"https://openalex.org/F4320334678","funder_display_name":"European Research Council"}],"funders":[{"id":"https://openalex.org/F4320334678","display_name":"European Research Council","ror":"https://ror.org/0472cxd90"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W652662681","https://openalex.org/W1502400294","https://openalex.org/W1738371459","https://openalex.org/W1867691547","https://openalex.org/W1966797434","https://openalex.org/W1978986669","https://openalex.org/W1979538975","https://openalex.org/W1980416758","https://openalex.org/W1996314002","https://openalex.org/W2007890825","https://openalex.org/W2009375902","https://openalex.org/W2021859941","https://openalex.org/W2060118520","https://openalex.org/W2091084672","https://openalex.org/W2091807534","https://openalex.org/W2103223087","https://openalex.org/W2110309243","https://openalex.org/W2124158580","https://openalex.org/W2131123711","https://openalex.org/W2136119880","https://openalex.org/W2143203836","https://openalex.org/W2144279833","https://openalex.org/W2144756000","https://openalex.org/W2148905283","https://openalex.org/W2149628368","https://openalex.org/W2152423878","https://openalex.org/W2153657884","https://openalex.org/W2156503193","https://openalex.org/W2157198497","https://openalex.org/W2158391167","https://openalex.org/W2164583235","https://openalex.org/W2165996021","https://openalex.org/W2167557160","https://openalex.org/W2179427518","https://openalex.org/W2301514834","https://openalex.org/W2339343773","https://openalex.org/W2734716188","https://openalex.org/W4210916243","https://openalex.org/W4239127880","https://openalex.org/W4249810335","https://openalex.org/W4285719527","https://openalex.org/W4292994367"],"related_works":["https://openalex.org/W2560936962","https://openalex.org/W2788727012","https://openalex.org/W4388203630","https://openalex.org/W2526386912","https://openalex.org/W2410591377","https://openalex.org/W2323113755","https://openalex.org/W2104953402","https://openalex.org/W2506793457","https://openalex.org/W2359476398","https://openalex.org/W2356645659"],"abstract_inverted_index":{"Current":[0],"techniques":[1],"to":[2,28,57,74],"computationally":[3],"detect":[4],"human":[5],"affect":[6,30,43,64,113,125,135],"often":[7],"depend":[8],"on":[9,39,130],"specialized":[10],"hardware,":[11],"work":[12],"only":[13],"in":[14,25,31,66,72,76,89],"laboratory":[15],"settings,":[16],"or":[17,59],"require":[18],"substantial":[19],"individual":[20],"training.":[21],"We":[22],"use":[23],"sensors":[24,140],"commodity":[26],"smartphones":[27],"estimate":[29],"the":[32,105,108],"wild":[33],"with":[34],"no":[35],"training":[36],"time":[37],"based":[38],"a":[40],"link":[41],"between":[42],"and":[44,78,133],"movement.":[45],"The":[46],"first":[47,106],"experiment":[48,101,109],"had":[49],"55":[50],"participants":[51,94],"do":[52],"touch":[53,120],"interactions":[54],"after":[55],"exposure":[56],"positive":[58],"neutral":[60],"emotion-eliciting":[61],"films;":[62],"negative":[63],"resulted":[65],"faster":[67],"but":[68],"less":[69],"precise":[70],"interactions,":[71],"addition":[73],"differences":[75],"rotation":[77],"acceleration.":[79],"Using":[80],"off-the-shelf":[81],"machine":[82],"learning":[83],"algorithms":[84],"we":[85],"report":[86],"89.1%":[87],"accuracy":[88],"binary":[90],"affective":[91],"classification,":[92],"grouping":[93],"by":[95],"their":[96],"self-assessments.":[97],"A":[98],"follow":[99],"up":[100],"validated":[102],"findings":[103],"from":[104],"experiment;":[107],"collected":[110],"naturally":[111],"occurring":[112],"of":[114],"127":[115],"participants,":[116],"who":[117],"again":[118],"did":[119],"interactions.":[121],"Results":[122],"demonstrate":[123],"that":[124,134],"has":[126],"direct":[127],"behavioral":[128],"effect":[129],"mobile":[131],"interaction":[132],"detection":[136],"using":[137],"common":[138],"smartphone":[139],"is":[141],"feasible.":[142]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2025-10-10T00:00:00"}