{"id":"https://openalex.org/W2904432591","doi":"https://doi.org/10.1109/geoinformatics.2018.8557054","title":"Cycle Periodic Behavior Detection and Sports Place Extraction Using Crowdsourced Running Trace Data","display_name":"Cycle Periodic Behavior Detection and Sports Place Extraction Using Crowdsourced Running Trace Data","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2904432591","doi":"https://doi.org/10.1109/geoinformatics.2018.8557054","mag":"2904432591"},"language":"en","primary_location":{"id":"doi:10.1109/geoinformatics.2018.8557054","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics.2018.8557054","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th International Conference on Geoinformatics","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/A5089954729","display_name":"Wei Yang","orcid":"https://orcid.org/0000-0002-9209-6825"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Yang","raw_affiliation_strings":["Wuhan University, School of Resource and Environment Sciences, Wuhan, China","School of Resource and Environment Sciences, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Wuhan University, School of Resource and Environment Sciences, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Resource and Environment Sciences, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019179101","display_name":"Wei Lu","orcid":"https://orcid.org/0000-0002-9703-2871"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Lu","raw_affiliation_strings":["Wuhan University, School of Resource and Environment Sciences, Wuhan, China","School of Resource and Environment Sciences, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Wuhan University, School of Resource and Environment Sciences, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Resource and Environment Sciences, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029956180","display_name":"Tinghua Ai","orcid":"https://orcid.org/0000-0002-6581-9872"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tinghua Ai","raw_affiliation_strings":["Wuhan University, School of Resource and Environment Sciences, Wuhan, China","School of Resource and Environment Sciences, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Wuhan University, School of Resource and Environment Sciences, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Resource and Environment Sciences, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100378774","display_name":"Tong Zhang","orcid":"https://orcid.org/0000-0002-0683-4669"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Zhang","raw_affiliation_strings":["Mapping and Remote Sensing, Wuhan University, State Key Laboratory of information Engineering in Surveying, Wuhan, China","Mapping and Remote Sensing, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Mapping and Remote Sensing, Wuhan University, State Key Laboratory of information Engineering in Surveying, Wuhan, China","institution_ids":["https://openalex.org/I4210118728"]},{"raw_affiliation_string":"Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5089954729"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.10910335,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9993000030517578,"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/T11106","display_name":"Data Management and Algorithms","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9865999817848206,"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/delaunay-triangulation","display_name":"Delaunay triangulation","score":0.6669000387191772},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6624634265899658},{"id":"https://openalex.org/keywords/trace","display_name":"TRACE (psycholinguistics)","score":0.6050556898117065},{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.5127955079078674},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.4810812175273895},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47870707511901855},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35839515924453735},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.29218703508377075}],"concepts":[{"id":"https://openalex.org/C68010082","wikidata":"https://www.wikidata.org/wiki/Q192445","display_name":"Delaunay triangulation","level":2,"score":0.6669000387191772},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6624634265899658},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.6050556898117065},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.5127955079078674},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.4810812175273895},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47870707511901855},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35839515924453735},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29218703508377075},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/geoinformatics.2018.8557054","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics.2018.8557054","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th International Conference on Geoinformatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1985548357","https://openalex.org/W1985715063","https://openalex.org/W2012580531","https://openalex.org/W2044023374","https://openalex.org/W2090667601","https://openalex.org/W2109182426","https://openalex.org/W2112620321","https://openalex.org/W2165849194","https://openalex.org/W2422606170","https://openalex.org/W2469013369","https://openalex.org/W2488595006","https://openalex.org/W2546707703","https://openalex.org/W2549412929","https://openalex.org/W2593144646","https://openalex.org/W2594079092","https://openalex.org/W2801749212","https://openalex.org/W2998083919"],"related_works":["https://openalex.org/W3032998312","https://openalex.org/W135177976","https://openalex.org/W4384486036","https://openalex.org/W1503094549","https://openalex.org/W2337920774","https://openalex.org/W2886410948","https://openalex.org/W2025875869","https://openalex.org/W4318823662","https://openalex.org/W3207526114","https://openalex.org/W4286908577"],"abstract_inverted_index":{"Crowdsourcing":[0],"trace":[1],"data":[2],"mining":[3],"plays":[4],"an":[5],"important":[6],"role":[7],"in":[8,99],"behavior":[9,26,39,65],"pattern":[10,115],"mining,":[11],"place":[12,31,73,127],"sensing,":[13],"etc.":[14],"This":[15],"paper":[16],"proposes":[17],"a":[18],"new":[19],"method":[20,83,108,120],"to":[21,62,117],"automatically":[22],"detect":[23,63],"cycle":[24,37,51,86,113],"periodic":[25,38,52,64,68,87,114],"and":[27,66,80,101,121],"extract":[28,67,125],"outdoor":[29],"sports":[30,72,126],"from":[32,84],"running":[33,97],"tracks.":[34,69,88],"First,":[35],"the":[36,48,54,71,102,106,118],"is":[40,60,75],"modeled":[41],"using":[42,92],"movement":[43],"parameters.":[44],"Second,":[45],"based":[46],"on":[47],"features":[49],"of":[50],"pattern,":[53],"trajectory":[55],"distance":[56],"matrix":[57],"search":[58],"algorithm":[59],"presented":[61],"Last,":[70],"information":[74],"extracted":[76],"by":[77],"Delaunay":[78],"triangulation":[79],"reverse":[81],"geocoding":[82],"collective":[85],"Experiments":[89],"were":[90],"conducted":[91],"one":[93],"month":[94],"smartphone":[95],"app":[96],"traces":[98],"Beijing,":[100],"results":[103],"show":[104],"that":[105],"proposed":[107],"can":[109,123],"more":[110],"effectively":[111],"identify":[112],"compared":[116],"Apriori":[119],"it":[122],"efficiently":[124],"information.":[128]},"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}