{"id":"https://openalex.org/W2783920628","doi":"https://doi.org/10.1145/3161192","title":"Context Recognition In-the-Wild","display_name":"Context Recognition In-the-Wild","publication_year":2018,"publication_date":"2018-01-08","ids":{"openalex":"https://openalex.org/W2783920628","doi":"https://doi.org/10.1145/3161192","mag":"2783920628"},"language":"en","primary_location":{"id":"doi:10.1145/3161192","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3161192","pdf_url":null,"source":{"id":"https://openalex.org/S4210219751","display_name":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","issn_l":"2474-9567","issn":["2474-9567"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070951996","display_name":"Yonatan Vaizman","orcid":"https://orcid.org/0000-0003-0965-2366"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yonatan Vaizman","raw_affiliation_strings":["Electrical and Computer Engineering; University of California, San Diego, La Jolla, CA, USA","Electrical and Computer Engineering"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering; University of California, San Diego, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]},{"raw_affiliation_string":"Electrical and Computer Engineering","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060176991","display_name":"Nadir Weibel","orcid":"https://orcid.org/0000-0002-3457-4227"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nadir Weibel","raw_affiliation_strings":["Computer Science and Engineering; University of California, San Diego, La Jolla, CA, USA","Computer Science and Engineering"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering; University of California, San Diego, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]},{"raw_affiliation_string":"Computer Science and Engineering","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003709708","display_name":"Gert Lanckriet","orcid":null},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gert Lanckriet","raw_affiliation_strings":["Electrical and Computer Engineering; University of California, San Diego, La Jolla, CA, USA","Electrical and Computer Engineering"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering; University of California, San Diego, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]},{"raw_affiliation_string":"Electrical and Computer Engineering","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5070951996"],"corresponding_institution_ids":["https://openalex.org/I36258959"],"apc_list":null,"apc_paid":null,"fwci":5.6408,"has_fulltext":false,"cited_by_count":118,"citation_normalized_percentile":{"value":0.97041366,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"1","issue":"4","first_page":"1","last_page":"22"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10667","display_name":"Emotion and Mood Recognition","score":0.992900013923645,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9901999831199646,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.699947714805603},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6958608627319336},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6460206508636475},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.5914365649223328},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5718863606452942},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5106845498085022},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45284923911094666},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4146368205547333},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.34959152340888977}],"concepts":[{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.699947714805603},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6958608627319336},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6460206508636475},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.5914365649223328},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5718863606452942},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5106845498085022},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45284923911094666},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4146368205547333},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.34959152340888977},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3161192","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3161192","pdf_url":null,"source":{"id":"https://openalex.org/S4210219751","display_name":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","issn_l":"2474-9567","issn":["2474-9567"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W61851215","https://openalex.org/W1527911497","https://openalex.org/W1762028752","https://openalex.org/W1854498722","https://openalex.org/W2017634428","https://openalex.org/W2020212555","https://openalex.org/W2035787713","https://openalex.org/W2046498081","https://openalex.org/W2060233269","https://openalex.org/W2095705004","https://openalex.org/W2101807845","https://openalex.org/W2103532308","https://openalex.org/W2116894522","https://openalex.org/W2127127580","https://openalex.org/W2155351925","https://openalex.org/W2161448354","https://openalex.org/W2165605600","https://openalex.org/W2184188583","https://openalex.org/W2323345995","https://openalex.org/W2397147568","https://openalex.org/W2512564223","https://openalex.org/W2517221375","https://openalex.org/W2963373106","https://openalex.org/W4299828299"],"related_works":["https://openalex.org/W2082756648","https://openalex.org/W3194278305","https://openalex.org/W2027108423","https://openalex.org/W1855666948","https://openalex.org/W2622997728","https://openalex.org/W2758561209","https://openalex.org/W1548095260","https://openalex.org/W2781711915","https://openalex.org/W2112817590","https://openalex.org/W1555291398"],"abstract_inverted_index":{"Automatic":[0],"recognition":[1,122,156],"of":[2,25,53,92,123,140],"behavioral":[3,29,111],"context":[4,20,72,86,155],"(location,":[5],"activities,":[6],"body-posture":[7],"etc.)":[8],"can":[9,126],"serve":[10],"health":[11],"monitoring,":[12],"aging":[13],"care,":[14],"and":[15,31,49,103,106,142,198],"many":[16,84],"other":[17],"domains.":[18],"Recognizing":[19],"in-the-wild":[21,45,206],"is":[22],"challenging":[23],"because":[24],"great":[26],"variability":[27],"in":[28],"patterns,":[30],"it":[32],"requires":[33],"a":[34,68,131,181,188],"complex":[35],"mapping":[36],"from":[37,77],"sensor":[38],"features":[39,76],"to":[40,109,145,149,168,186],"predicted":[41],"labels.":[42,87],"Data":[43],"collected":[44,165],"may":[46,117],"be":[47,127],"unbalanced":[48,196],"incomplete,":[50,195],"with":[51,177,204],"cases":[52],"missing":[54,57,151,199],"labels":[55,125],"or":[56],"sensors.":[58,152],"We":[59,88,119,153],"propose":[60],"using":[61,191],"the":[62,80,90,93,110,147,158,172],"multiple":[63],"layer":[64],"perceptron":[65],"(MLP)":[66],"as":[67],"multi-task":[69],"model":[70,81,132,148,190],"for":[71,136],"recognition.":[73],"Based":[74],"on":[75,157],"multi-modal":[78],"sensors,":[79],"simultaneously":[82],"predicts":[83],"diverse":[85],"analyze":[89],"advantages":[91],"model's":[94],"hidden":[95,115],"layers,":[96],"which":[97,163],"are":[98],"shared":[99],"among":[100],"all":[101,104],"sensors":[102,200],"labels,":[105,141],"provide":[107],"insight":[108],"patterns":[112],"that":[113,133,193],"these":[114],"layers":[116],"capture.":[118],"demonstrate":[120],"how":[121,144],"new":[124],"improved":[128],"when":[129],"utilizing":[130],"was":[134,164],"trained":[135],"an":[137],"initial":[138],"set":[139],"show":[143],"train":[146,187],"withstand":[150],"evaluate":[154],"previously":[159,169],"published":[160],"ExtraSensory":[161],"Dataset,":[162],"in-the-wild.":[166],"Compared":[167],"suggested":[170],"models,":[171],"MLP":[173],"improves":[174],"recognition,":[175],"even":[176],"fewer":[178],"parameters":[179],"than":[180],"linear":[182],"model.":[183],"The":[184],"ability":[185],"good":[189],"data":[192],"has":[194],"labeling":[197],"encourages":[201],"further":[202],"research":[203],"uncontrolled,":[205],"behavior.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":19},{"year":2019,"cited_by_count":16},{"year":2018,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
