{"id":"https://openalex.org/W2925004435","doi":"https://doi.org/10.1109/icaiic.2019.8669035","title":"Investigation of Context-aware System Using Activity Recognition","display_name":"Investigation of Context-aware System Using Activity Recognition","publication_year":2019,"publication_date":"2019-02-01","ids":{"openalex":"https://openalex.org/W2925004435","doi":"https://doi.org/10.1109/icaiic.2019.8669035","mag":"2925004435"},"language":"en","primary_location":{"id":"doi:10.1109/icaiic.2019.8669035","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic.2019.8669035","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","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/A5102924639","display_name":"Yuki Watanabe","orcid":"https://orcid.org/0000-0003-2589-1105"},"institutions":[{"id":"https://openalex.org/I165522056","display_name":"Tokyo Denki University","ror":"https://ror.org/01pa62v70","country_code":"JP","type":"education","lineage":["https://openalex.org/I165522056"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yuki Watanabe","raw_affiliation_strings":["Graduate School of Information Environment, Tokyo Denki University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Environment, Tokyo Denki University, Tokyo, Japan","institution_ids":["https://openalex.org/I165522056"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025693711","display_name":"Reiji Suzumura","orcid":null},"institutions":[{"id":"https://openalex.org/I165522056","display_name":"Tokyo Denki University","ror":"https://ror.org/01pa62v70","country_code":"JP","type":"education","lineage":["https://openalex.org/I165522056"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Reiji Suzumura","raw_affiliation_strings":["Graduate School of Information Environment, Tokyo Denki University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Environment, Tokyo Denki University, Tokyo, Japan","institution_ids":["https://openalex.org/I165522056"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029919026","display_name":"Shogo Matsuno","orcid":"https://orcid.org/0000-0002-6813-2320"},"institutions":[{"id":"https://openalex.org/I4210155506","display_name":"Hotto Link (Japan)","ror":"https://ror.org/052qx3616","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210155506"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shogo Matsuno","raw_affiliation_strings":["Hotto Link Inc., Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Hotto Link Inc., Tokyo, Japan","institution_ids":["https://openalex.org/I4210155506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004948409","display_name":"Minoru Ohyama","orcid":null},"institutions":[{"id":"https://openalex.org/I165522056","display_name":"Tokyo Denki University","ror":"https://ror.org/01pa62v70","country_code":"JP","type":"education","lineage":["https://openalex.org/I165522056"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Minoru Ohyama","raw_affiliation_strings":["Graduate School of Information Environment, Tokyo Denki University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Environment, Tokyo Denki University, Tokyo, Japan","institution_ids":["https://openalex.org/I165522056"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102924639"],"corresponding_institution_ids":["https://openalex.org/I165522056"],"apc_list":null,"apc_paid":null,"fwci":0.2024,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.51392882,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"287","last_page":"291"},"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":0.9891999959945679,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.98089998960495,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/computer-science","display_name":"Computer science","score":0.7662437558174133},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.7252140045166016},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6621411442756653},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5134345293045044},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.49621278047561646},{"id":"https://openalex.org/keywords/physical-activity","display_name":"Physical activity","score":0.4724365174770355},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44451698660850525},{"id":"https://openalex.org/keywords/context-model","display_name":"Context model","score":0.4362579882144928},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42886584997177124}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7662437558174133},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.7252140045166016},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6621411442756653},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5134345293045044},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.49621278047561646},{"id":"https://openalex.org/C3020255362","wikidata":"https://www.wikidata.org/wiki/Q747883","display_name":"Physical activity","level":2,"score":0.4724365174770355},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44451698660850525},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.4362579882144928},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42886584997177124},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.0},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icaiic.2019.8669035","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic.2019.8669035","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1510817841","https://openalex.org/W1976552421","https://openalex.org/W2035787713","https://openalex.org/W2049229728","https://openalex.org/W2054242744","https://openalex.org/W2063880591","https://openalex.org/W2085090498","https://openalex.org/W2142251688","https://openalex.org/W2161897659","https://openalex.org/W2323536470","https://openalex.org/W2404247879","https://openalex.org/W2498893132","https://openalex.org/W2558845039","https://openalex.org/W2607850459","https://openalex.org/W2610534732","https://openalex.org/W2611635050","https://openalex.org/W2887598640","https://openalex.org/W2889079547","https://openalex.org/W4230528649","https://openalex.org/W4295021613","https://openalex.org/W6630582740","https://openalex.org/W6713962792"],"related_works":["https://openalex.org/W3195649134","https://openalex.org/W2281498195","https://openalex.org/W2017526120","https://openalex.org/W2610664080","https://openalex.org/W2188304107","https://openalex.org/W2761510556","https://openalex.org/W2892259437","https://openalex.org/W2944566775","https://openalex.org/W2131801795","https://openalex.org/W1863657797"],"abstract_inverted_index":{"The":[0],"physical":[1,69,100,117],"activity":[2,28,70,94,101],"is":[3,34,111,126],"important":[4],"context":[5],"information":[6],"to":[7,36,42,58,66,114],"define":[8],"and":[9,17,30],"understand":[10],"the":[11,27,43,68,72,75,85,93,99,115,120],"user's":[12,44],"situation":[13],"in":[14,18,64,104,133],"real":[15,105],"time":[16],"detail.":[19],"Therefore,":[20],"we":[21,49,88],"developed":[22,89,123],"a":[23,52,62],"context-aware":[24],"function":[25],"using":[26,84,92,122],"recognition":[29],"showed":[31],"that":[32,128],"it":[33,125],"possible":[35],"provide":[37],"more":[38],"appropriate":[39],"support":[40,110],"according":[41,113],"situation.":[45],"In":[46,74,107,119],"this":[47],"study,":[48],"first":[50],"constructed":[51],"model":[53],"by":[54,61,83],"applying":[55],"machine":[56],"learning":[57],"data":[59],"sensed":[60],"smartphone":[63],"order":[65],"predict":[67,98],"of":[71,79,102],"user.":[73],"experiment,":[76],"high":[77],"accuracy":[78],"97.6%":[80],"was":[81],"obtained":[82],"model.":[86],"Next,":[87],"three":[90],"functions":[91,97,130],"recognition.":[95],"These":[96],"user":[103,109],"time.":[106],"addition,":[108],"performed":[112],"predicted":[116],"activity.":[118],"experiment":[121],"functions,":[124],"confirmed":[127],"these":[129],"worked":[131],"correctly":[132],"real-world":[134],"conditions.":[135]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
