{"id":"https://openalex.org/W1968142161","doi":"https://doi.org/10.1155/2013/315841","title":"Personalization in Mobile Activity Recognition System Using <i>K</i>-Medoids Clustering Algorithm","display_name":"Personalization in Mobile Activity Recognition System Using <i>K</i>-Medoids Clustering Algorithm","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W1968142161","doi":"https://doi.org/10.1155/2013/315841","mag":"1968142161"},"language":"en","primary_location":{"id":"doi:10.1155/2013/315841","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2013/315841","pdf_url":null,"source":{"id":"https://openalex.org/S64417657","display_name":"International Journal of Distributed Sensor Networks","issn_l":"1550-1329","issn":["1550-1329","1550-1477"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Distributed Sensor Networks","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1155/2013/315841","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067641075","display_name":"Quang Viet Vo","orcid":null},"institutions":[{"id":"https://openalex.org/I111277659","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56","country_code":"KR","type":"education","lineage":["https://openalex.org/I111277659"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Quang Viet Vo","raw_affiliation_strings":["ECE, Chonnam National University, Gwangju 500-757, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"ECE, Chonnam National University, Gwangju 500-757, Republic of Korea","institution_ids":["https://openalex.org/I111277659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039561615","display_name":"Minh Thang Hoang","orcid":null},"institutions":[{"id":"https://openalex.org/I111277659","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56","country_code":"KR","type":"education","lineage":["https://openalex.org/I111277659"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Minh Thang Hoang","raw_affiliation_strings":["ECE, Chonnam National University, Gwangju 500-757, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"ECE, Chonnam National University, Gwangju 500-757, Republic of Korea","institution_ids":["https://openalex.org/I111277659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030963631","display_name":"Deokjai Choi","orcid":"https://orcid.org/0000-0001-9502-9882"},"institutions":[{"id":"https://openalex.org/I111277659","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56","country_code":"KR","type":"education","lineage":["https://openalex.org/I111277659"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Deokjai Choi","raw_affiliation_strings":["ECE, Chonnam National University, Gwangju 500-757, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"ECE, Chonnam National University, Gwangju 500-757, Republic of Korea","institution_ids":["https://openalex.org/I111277659"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5067641075"],"corresponding_institution_ids":["https://openalex.org/I111277659"],"apc_list":{"value":2200,"currency":"USD","value_usd":2200},"apc_paid":{"value":2200,"currency":"USD","value_usd":2200},"fwci":2.7216,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.91078257,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"9","issue":"7","first_page":"315841","last_page":"315841"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9995999932289124,"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":0.9995999932289124,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9937999844551086,"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"}},{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9936000108718872,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.90570068359375},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6743751764297485},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.6173015236854553},{"id":"https://openalex.org/keywords/mobile-phone","display_name":"Mobile phone","score":0.5633233189582825},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.4763467609882355},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45208847522735596},{"id":"https://openalex.org/keywords/medoid","display_name":"Medoid","score":0.4450918734073639},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.44161421060562134},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4370424747467041},{"id":"https://openalex.org/keywords/android","display_name":"Android (operating system)","score":0.41570985317230225},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.41459816694259644},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.41010206937789917},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4049161970615387},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3699410557746887},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.12028360366821289}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.90570068359375},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6743751764297485},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.6173015236854553},{"id":"https://openalex.org/C2777421447","wikidata":"https://www.wikidata.org/wiki/Q17517","display_name":"Mobile phone","level":2,"score":0.5633233189582825},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.4763467609882355},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45208847522735596},{"id":"https://openalex.org/C63085389","wikidata":"https://www.wikidata.org/wiki/Q4287912","display_name":"Medoid","level":3,"score":0.4450918734073639},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.44161421060562134},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4370424747467041},{"id":"https://openalex.org/C557433098","wikidata":"https://www.wikidata.org/wiki/Q94","display_name":"Android (operating system)","level":2,"score":0.41570985317230225},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.41459816694259644},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.41010206937789917},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4049161970615387},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3699410557746887},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.12028360366821289},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2013/315841","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2013/315841","pdf_url":null,"source":{"id":"https://openalex.org/S64417657","display_name":"International Journal of Distributed Sensor Networks","issn_l":"1550-1329","issn":["1550-1329","1550-1477"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Distributed Sensor Networks","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:6e3497b53f304326a477bd9fd3a6b746","is_oa":true,"landing_page_url":"https://doaj.org/article/6e3497b53f304326a477bd9fd3a6b746","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Distributed Sensor Networks, Vol 9 (2013)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2013/315841","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2013/315841","pdf_url":null,"source":{"id":"https://openalex.org/S64417657","display_name":"International Journal of Distributed Sensor Networks","issn_l":"1550-1329","issn":["1550-1329","1550-1477"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Distributed Sensor Networks","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.4699999988079071,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W116474711","https://openalex.org/W1977556410","https://openalex.org/W2018569461","https://openalex.org/W2028186520","https://openalex.org/W2043522193","https://openalex.org/W2049135373","https://openalex.org/W2060414549","https://openalex.org/W2070381776","https://openalex.org/W2077260064","https://openalex.org/W2083620785","https://openalex.org/W2092865343","https://openalex.org/W2099754194","https://openalex.org/W2134050473","https://openalex.org/W2155665564","https://openalex.org/W2165698076","https://openalex.org/W2294609343","https://openalex.org/W2338082960","https://openalex.org/W4247825513","https://openalex.org/W4256557011","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W3194539120","https://openalex.org/W2961085424","https://openalex.org/W2937631562","https://openalex.org/W4361795583","https://openalex.org/W3195168932","https://openalex.org/W1996541855","https://openalex.org/W3011192796","https://openalex.org/W2979979539","https://openalex.org/W4249229055","https://openalex.org/W3168994312"],"abstract_inverted_index":{"Nowadays":[0],"mobile":[1,14,40,61],"activity":[2],"recognition":[3],"(AR)":[4],"has":[5,125],"been":[6],"creating":[7],"great":[8],"potentials":[9],"in":[10,115],"many":[11],"applications":[12],"including":[13],"healthcare":[15],"and":[16,147],"context-aware":[17],"systems.":[18],"Human":[19],"activities":[20,98,134],"could":[21],"be":[22],"detected":[23],"based":[24],"on":[25,31,60,112],"sensory":[26],"data":[27,49,84],"that":[28,141],"are":[29],"available":[30],"today's":[32],"smart":[33],"phone.":[34],"In":[35],"this":[36],"study,":[37],"we":[38,137],"consider":[39],"phones":[41],"as":[42],"an":[43,67,78,139],"independent":[44],"device":[45],"since":[46],"sending":[47],"the":[48,73,96,113,154],"to":[50,91,94,126,130,151],"central":[51],"server":[52],"can":[53],"generate":[54],"privacy":[55],"issues.":[56],"Furthermore,":[57],"applying":[58],"AR":[59,79,122],"phone":[62],"does":[63],"not":[64],"only":[65],"require":[66],"effective":[68],"accuracy":[69],"rate":[70],"but":[71],"also":[72,124],"lowest":[74],"power":[75],"consumption.":[76],"Normally,":[77],"model":[80,123],"learnt":[81],"from":[82],"acceleration":[83],"of":[85,100,118],"a":[86],"specific":[87],"person":[88],"is":[89],"distributed":[90],"other":[92],"people":[93],"recognize":[95],"same":[97],"instead":[99],"generating":[101],"different":[102],"models":[103],"individually.":[104],"This":[105],"work":[106],"often":[107],"cannot":[108],"create":[109],"accurate":[110],"results":[111],"prediction":[114],"broad":[116],"range":[117],"participants.":[119],"Moreover,":[120],"such":[121],"allow":[127],"each":[128],"user":[129],"update":[131],"his":[132],"new":[133],"independently.":[135],"Therefore,":[136],"propose":[138],"algorithm":[140],"integrates":[142],"Support":[143],"Vector":[144],"Machine":[145],"classifier":[146],"K-medoids":[148],"clustering":[149],"method":[150],"resolve":[152],"completely":[153],"demand.":[155]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
