{"id":"https://openalex.org/W2055741674","doi":"https://doi.org/10.1145/2541831.2541852","title":"Human activity recognition using social media data","display_name":"Human activity recognition using social media data","publication_year":2013,"publication_date":"2013-12-02","ids":{"openalex":"https://openalex.org/W2055741674","doi":"https://doi.org/10.1145/2541831.2541852","mag":"2055741674"},"language":"en","primary_location":{"id":"doi:10.1145/2541831.2541852","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2541831.2541852","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Conference on Mobile and Ubiquitous Multimedia","raw_type":"proceedings-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/A5047892479","display_name":"Zack Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Zack Zhu","raw_affiliation_strings":["ETH Zurich, Zurich, Switzerland"],"affiliations":[{"raw_affiliation_string":"ETH Zurich, Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001053523","display_name":"Ulf Blanke","orcid":null},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Ulf Blanke","raw_affiliation_strings":["ETH Zurich, Zurich, Switzerland"],"affiliations":[{"raw_affiliation_string":"ETH Zurich, Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058570292","display_name":"Alberto Calatroni","orcid":"https://orcid.org/0000-0002-8789-3213"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Alberto Calatroni","raw_affiliation_strings":["ETH Zurich, Zurich, Switzerland"],"affiliations":[{"raw_affiliation_string":"ETH Zurich, Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017473656","display_name":"Gerhard Tr\u00f6ster","orcid":"https://orcid.org/0000-0002-9278-1638"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Gerhard Tr\u00f6ster","raw_affiliation_strings":["ETH Zurich, Zurich, Switzerland"],"affiliations":[{"raw_affiliation_string":"ETH Zurich, Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5047892479"],"corresponding_institution_ids":["https://openalex.org/I35440088"],"apc_list":null,"apc_paid":null,"fwci":1.0886,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.80825756,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9997000098228455,"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":0.9997000098228455,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9613000154495239,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/activity-recognition","display_name":"Activity recognition","score":0.8566900491714478},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7835928201675415},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.7521311044692993},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.542575478553772},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.520883321762085},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5201226472854614},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.49904394149780273},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48179882764816284},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.48077720403671265},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4619034230709076},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.450334370136261},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.41183188557624817},{"id":"https://openalex.org/keywords/instrumentation","display_name":"Instrumentation (computer programming)","score":0.41106677055358887},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.13909554481506348}],"concepts":[{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.8566900491714478},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7835928201675415},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.7521311044692993},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.542575478553772},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.520883321762085},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5201226472854614},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.49904394149780273},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48179882764816284},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.48077720403671265},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4619034230709076},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.450334370136261},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.41183188557624817},{"id":"https://openalex.org/C118530786","wikidata":"https://www.wikidata.org/wiki/Q1134732","display_name":"Instrumentation (computer programming)","level":2,"score":0.41106677055358887},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.13909554481506348},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2541831.2541852","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2541831.2541852","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Conference on Mobile and Ubiquitous Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321942","display_name":"Hasler Stiftung","ror":"https://ror.org/04m3t9183"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W95111719","https://openalex.org/W1527439439","https://openalex.org/W1864061953","https://openalex.org/W1877546439","https://openalex.org/W2046804949","https://openalex.org/W2068571273","https://openalex.org/W2073069519","https://openalex.org/W2090608996","https://openalex.org/W2093091956","https://openalex.org/W2101234009","https://openalex.org/W2105046342","https://openalex.org/W2118585731","https://openalex.org/W2123327474","https://openalex.org/W2131573934","https://openalex.org/W2139575250","https://openalex.org/W2141253759","https://openalex.org/W2142761703","https://openalex.org/W2143426320","https://openalex.org/W2146241755","https://openalex.org/W2149684865","https://openalex.org/W2151994298","https://openalex.org/W2153236667","https://openalex.org/W2154997944","https://openalex.org/W2156136571","https://openalex.org/W2171393861","https://openalex.org/W2171805028","https://openalex.org/W2407908188","https://openalex.org/W2606411279","https://openalex.org/W6675354045","https://openalex.org/W6677656871","https://openalex.org/W6682953399"],"related_works":["https://openalex.org/W3105278570","https://openalex.org/W3090300519","https://openalex.org/W2117913171","https://openalex.org/W2514492205","https://openalex.org/W4250401876","https://openalex.org/W2943851981","https://openalex.org/W2095299560","https://openalex.org/W2907667791","https://openalex.org/W3047461507","https://openalex.org/W2582769230"],"abstract_inverted_index":{"Human":[0],"activity":[1,90,157],"recognition":[2,158],"is":[3,15,67],"a":[4,140,150],"core":[5],"component":[6],"of":[7,20,59,77,102,109,135,143],"context-aware,":[8],"ubiquitous":[9],"computing":[10],"systems.":[11],"Traditionally,":[12],"this":[13,70],"task":[14],"accomplished":[16],"by":[17],"analyzing":[18],"signals":[19,26,104],"wearable":[21],"motion":[22,54],"sensors.":[23],"While":[24],"such":[25],"can":[27],"effectively":[28],"distinguish":[29,52],"various":[30],"low-level":[31],"activities":[32,42,138],"(e.g.":[33,43],"walking":[34],"or":[35,46],"standing),":[36],"two":[37],"issues":[38],"exist:":[39],"First,":[40],"high-level":[41,156],"watching":[44],"movies":[45],"attending":[47],"lectures)":[48],"are":[49,128],"difficult":[50],"to":[51,130,145],"from":[53,106,120],"data":[55,84],"alone.":[56],"Second,":[57],"instrumentation":[58],"complex":[60],"body":[61],"sensor":[62],"network":[63],"at":[64],"population":[65],"scale":[66],"impractical.":[68],"In":[69],"work,":[71],"we":[72,99,127],"take":[73],"an":[74,113],"alternative":[75],"approach":[76],"leveraging":[78],"rich,":[79],"dynamic,":[80],"and":[81,125],"crowd-generated":[82],"self-report":[83],"as":[85,96],"the":[86,94,97],"basis":[87],"for":[88],"in-situ":[89],"recognition.":[91],"By":[92],"treating":[93],"user":[95],"\"sensor\",":[98],"make":[100],"use":[101,108],"implicit":[103],"emitted":[105],"natural":[107],"mobile":[110],"smart-phones.":[111],"Applying":[112],"L1-regularized":[114],"Linear":[115],"SVM":[116],"on":[117],"features":[118],"derived":[119],"textual":[121],"content,":[122],"semantic":[123],"location,":[124],"time,":[126],"able":[129],"infer":[131],"10":[132],"meaningful":[133],"classes":[134],"daily":[136],"life":[137],"with":[139],"mean":[141],"accuracy":[142],"up":[144],"83.9%.":[146],"Our":[147],"work":[148],"illustrates":[149],"promising":[151],"first":[152],"step":[153],"towards":[154],"comprehensive,":[155],"using":[159],"free,":[160],"crowd-generated,":[161],"social":[162],"media":[163],"data.":[164]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}