{"id":"https://openalex.org/W4386320401","doi":"https://doi.org/10.1109/tmc.2023.3310941","title":"MC-Tracking: Towards Ubiquitous Menstrual Cycle Tracking Using the Smartphone","display_name":"MC-Tracking: Towards Ubiquitous Menstrual Cycle Tracking Using the Smartphone","publication_year":2023,"publication_date":"2023-08-31","ids":{"openalex":"https://openalex.org/W4386320401","doi":"https://doi.org/10.1109/tmc.2023.3310941"},"language":"en","primary_location":{"id":"doi:10.1109/tmc.2023.3310941","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2023.3310941","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Mobile Computing","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/A5050974637","display_name":"Yuan Wu","orcid":"https://orcid.org/0000-0001-6173-2801"},"institutions":[{"id":"https://openalex.org/I4210119942","display_name":"Wuhan Textile University","ror":"https://ror.org/02jgsf398","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119942"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuan Wu","raw_affiliation_strings":["School of Computer Science and Artificial Intelligence &amp; Engineering Research Center of Hubei Province for Clothing Information, Wuhan Textile University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Artificial Intelligence &amp; Engineering Research Center of Hubei Province for Clothing Information, Wuhan Textile University, Wuhan, China","institution_ids":["https://openalex.org/I4210119942"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091790870","display_name":"Jian Zhang","orcid":"https://orcid.org/0000-0003-3612-7989"},"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":"Jian Zhang","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015275781","display_name":"Yanjiao Chen","orcid":"https://orcid.org/0000-0002-1382-0679"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanjiao Chen","raw_affiliation_strings":["College of Electrical Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Electrical Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034250723","display_name":"Wuxuan Shi","orcid":"https://orcid.org/0000-0001-8968-0417"},"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":"Wuxuan Shi","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057294291","display_name":"H. Tan","orcid":"https://orcid.org/0009-0004-7394-9484"},"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":"Huiri Tan","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5050974637"],"corresponding_institution_ids":["https://openalex.org/I4210119942"],"apc_list":null,"apc_paid":null,"fwci":0.9772,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.77431353,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"23","issue":"5","first_page":"5604","last_page":"5615"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11542","display_name":"Behavioral Health and Interventions","score":0.8733000159263611,"subfield":{"id":"https://openalex.org/subfields/3202","display_name":"Applied Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11542","display_name":"Behavioral Health and Interventions","score":0.8733000159263611,"subfield":{"id":"https://openalex.org/subfields/3202","display_name":"Applied 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/T12054","display_name":"Menstrual Health and Disorders","score":0.8492000102996826,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12496","display_name":"Color perception and design","score":0.8187000155448914,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.7821825742721558},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7749150991439819},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6356300115585327},{"id":"https://openalex.org/keywords/tracing","display_name":"Tracing","score":0.4908333420753479},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.4693905711174011},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.46176356077194214},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43279603123664856},{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.42279088497161865},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3616581857204437},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3246576488018036},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.1766459345817566},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.10197171568870544}],"concepts":[{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.7821825742721558},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7749150991439819},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6356300115585327},{"id":"https://openalex.org/C138673069","wikidata":"https://www.wikidata.org/wiki/Q322229","display_name":"Tracing","level":2,"score":0.4908333420753479},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.4693905711174011},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.46176356077194214},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43279603123664856},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.42279088497161865},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3616581857204437},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3246576488018036},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.1766459345817566},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.10197171568870544},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmc.2023.3310941","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2023.3310941","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Mobile Computing","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":50,"referenced_works":["https://openalex.org/W1565139074","https://openalex.org/W1607455266","https://openalex.org/W1686810756","https://openalex.org/W1975926870","https://openalex.org/W1992612654","https://openalex.org/W1994848651","https://openalex.org/W2037134049","https://openalex.org/W2049998264","https://openalex.org/W2060110871","https://openalex.org/W2068523182","https://openalex.org/W2072260790","https://openalex.org/W2073307711","https://openalex.org/W2082545645","https://openalex.org/W2095134828","https://openalex.org/W2098352835","https://openalex.org/W2120390927","https://openalex.org/W2123327685","https://openalex.org/W2126316827","https://openalex.org/W2135900538","https://openalex.org/W2139985034","https://openalex.org/W2144279833","https://openalex.org/W2150175170","https://openalex.org/W2153701600","https://openalex.org/W2166283352","https://openalex.org/W2172205559","https://openalex.org/W2325132306","https://openalex.org/W2417198086","https://openalex.org/W2520774990","https://openalex.org/W2521055732","https://openalex.org/W2610339637","https://openalex.org/W2770265759","https://openalex.org/W2790951691","https://openalex.org/W2793175677","https://openalex.org/W2795961229","https://openalex.org/W2897132279","https://openalex.org/W2934348335","https://openalex.org/W2941731013","https://openalex.org/W2943554574","https://openalex.org/W2962799101","https://openalex.org/W2998161426","https://openalex.org/W3012616340","https://openalex.org/W3113132668","https://openalex.org/W3205552591","https://openalex.org/W4246095622","https://openalex.org/W4297775537","https://openalex.org/W6636163239","https://openalex.org/W6637373629","https://openalex.org/W6719057275","https://openalex.org/W6736057607","https://openalex.org/W6737664043"],"related_works":["https://openalex.org/W2765080098","https://openalex.org/W2385749422","https://openalex.org/W4384517610","https://openalex.org/W1973973903","https://openalex.org/W2992410632","https://openalex.org/W4288389100","https://openalex.org/W2025756212","https://openalex.org/W1902800522","https://openalex.org/W2339469482","https://openalex.org/W3082879976"],"abstract_inverted_index":{"Tracking":[0],"the":[1,58,81,89,94,141,152,171,177],"menstrual":[2],"cycle":[3],"(MC)":[4],"is":[5,137,146,174],"essential":[6],"for":[7,16,123],"women":[8],"to":[9,39,50,110,139,176],"manage":[10],"their":[11],"health":[12],"and":[13,54,96,182],"schedule,":[14],"especially":[15],"those":[17],"with":[18,113,160],"irregular":[19],"MC.":[20],"Existing":[21],"MC":[22,78,155],"tracking":[23],"methods":[24],"either":[25],"rely":[26],"on":[27,80,93],"length":[28],"of":[29,134,143,154,164],"previous":[30],"cycles":[31],"(e.g.,":[32,43],"calendar":[33],"noting)":[34],"or":[35],"require":[36],"additional":[37],"devices":[38],"collect":[40],"more":[41,124,130],"information":[42],"basal":[44],"temperature),":[45],"which":[46,76,129],"are":[47],"not":[48],"able":[49],"realize":[51],"both":[52],"accuracy":[53,173],"convenience.":[55],"Inspired":[56],"by":[57,67],"medical":[59],"studies":[60],"that":[61,106,148,170],"gait":[62],"patterns":[63],"will":[64],"be":[65,108],"affected":[66],"MC,":[68],"we":[69,100],"design":[70],"a":[71],"smartphone-based":[72],"application":[73],"named":[74],"MC-Tracking,":[75],"monitors":[77],"based":[79,92],"Inertial":[82],"Measurement":[83],"Unit":[84],"(IMU)":[85],"signals.":[86],"By":[87],"identifying":[88],"walking":[90],"activity":[91],"acceleration":[95],"angular":[97],"velocity":[98],"signals,":[99],"train":[101],"an":[102,120,161],"attention-based":[103],"prediction":[104,172],"model":[105],"can":[107,150],"generalized":[109],"new":[111],"users":[112],"meta":[114],"learning.":[115],"40":[116],"volunteers":[117],"participate":[118],"in":[119,128,158],"extensive":[121],"experiment":[122],"than":[125,131],"3":[126],"months,":[127],"2.4":[132],"TB":[133],"time-series":[135],"data":[136],"collected":[138],"evaluate":[140],"performance":[142],"MC-tracking.":[144],"It":[145],"verified":[147],"MC-tracing":[149],"predict":[151],"onset":[153],"seven":[156],"days":[157],"advance":[159],"average":[162],"error":[163],"0.56":[165],"days.":[166],"We":[167],"also":[168],"demonstrate":[169],"robust":[175],"age,":[178],"emotion,":[179],"biological":[180],"clock":[181],"smartphone":[183],"brand.":[184]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-06T07:47:59.780226","created_date":"2025-10-10T00:00:00"}
