{"id":"https://openalex.org/W3040846519","doi":"https://doi.org/10.1145/3396250","title":"mSIMPAD","display_name":"mSIMPAD","publication_year":2020,"publication_date":"2020-07-07","ids":{"openalex":"https://openalex.org/W3040846519","doi":"https://doi.org/10.1145/3396250","mag":"3040846519"},"language":"en","primary_location":{"id":"doi:10.1145/3396250","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3396250","pdf_url":null,"source":{"id":"https://openalex.org/S4210174653","display_name":"ACM Transactions on Computing for Healthcare","issn_l":"2637-8051","issn":["2637-8051","2691-1957"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Computing for Healthcare","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/A5091782086","display_name":"Chun-Tung Li","orcid":"https://orcid.org/0000-0003-3882-063X"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Chun-Tung Li","raw_affiliation_strings":["The Hong Kong Polytechnic University, Kowloon, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University, Kowloon, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100740023","display_name":"Jiannong Cao","orcid":"https://orcid.org/0000-0002-2725-2529"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jiannong Cao","raw_affiliation_strings":["The Hong Kong Polytechnic University, Kowloon, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University, Kowloon, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100372152","display_name":"Xue Liu","orcid":"https://orcid.org/0000-0001-5252-3442"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xue Liu","raw_affiliation_strings":["McGill University, Montreal, Quebec, Canada"],"affiliations":[{"raw_affiliation_string":"McGill University, Montreal, Quebec, Canada","institution_ids":["https://openalex.org/I5023651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080364797","display_name":"Milo\u0161 Stojmenovi\u0107","orcid":"https://orcid.org/0000-0001-6279-2988"},"institutions":[{"id":"https://openalex.org/I170253739","display_name":"Singidunum University","ror":"https://ror.org/017v7rz39","country_code":"RS","type":"education","lineage":["https://openalex.org/I170253739"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Milos Stojmenovic","raw_affiliation_strings":["Singidunum University, Belgrade, Serbia"],"affiliations":[{"raw_affiliation_string":"Singidunum University, Belgrade, Serbia","institution_ids":["https://openalex.org/I170253739"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5091782086"],"corresponding_institution_ids":["https://openalex.org/I14243506"],"apc_list":null,"apc_paid":null,"fwci":1.0665,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.76874755,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"1","issue":"4","first_page":"1","last_page":"19"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9997000098228455,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.998199999332428,"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":0.9976000189781189,"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/euclidean-distance","display_name":"Euclidean distance","score":0.6930562257766724},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6422523856163025},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5461129546165466},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5445239543914795},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.53812575340271},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5330962538719177},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5141551494598389},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4618028998374939},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.4599337875843048},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.45712795853614807},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.45062050223350525},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41324496269226074},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37658238410949707}],"concepts":[{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.6930562257766724},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6422523856163025},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5461129546165466},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5445239543914795},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.53812575340271},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5330962538719177},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5141551494598389},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4618028998374939},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.4599337875843048},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.45712795853614807},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.45062050223350525},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41324496269226074},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37658238410949707},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3396250","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3396250","pdf_url":null,"source":{"id":"https://openalex.org/S4210174653","display_name":"ACM Transactions on Computing for Healthcare","issn_l":"2637-8051","issn":["2637-8051","2691-1957"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Computing for Healthcare","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3423319134","display_name":null,"funder_award_id":"C5026-18G","funder_id":"https://openalex.org/F4320321592","funder_display_name":"Research Grants Council, University Grants Committee"}],"funders":[{"id":"https://openalex.org/F4320321592","display_name":"Research Grants Council, University Grants Committee","ror":"https://ror.org/00djwmt25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W27994497","https://openalex.org/W1964552437","https://openalex.org/W1995315754","https://openalex.org/W2008891225","https://openalex.org/W2017634428","https://openalex.org/W2026297770","https://openalex.org/W2046672513","https://openalex.org/W2047098613","https://openalex.org/W2054242744","https://openalex.org/W2088500299","https://openalex.org/W2098089331","https://openalex.org/W2108072252","https://openalex.org/W2133059825","https://openalex.org/W2137810258","https://openalex.org/W2164274563","https://openalex.org/W2166315077","https://openalex.org/W2514114051","https://openalex.org/W2550476060","https://openalex.org/W2583315097","https://openalex.org/W2584499795","https://openalex.org/W2762118233","https://openalex.org/W2763617238","https://openalex.org/W2767867000","https://openalex.org/W2772177579","https://openalex.org/W2798290452","https://openalex.org/W2800419927","https://openalex.org/W2883872667","https://openalex.org/W2892644395","https://openalex.org/W2962879080","https://openalex.org/W3103009503","https://openalex.org/W4253041633"],"related_works":["https://openalex.org/W4384112194","https://openalex.org/W2783354812","https://openalex.org/W2103009189","https://openalex.org/W4312958259","https://openalex.org/W2349383066","https://openalex.org/W1969901537","https://openalex.org/W4328132048","https://openalex.org/W4308259661","https://openalex.org/W2376202349","https://openalex.org/W2969318460"],"abstract_inverted_index":{"A":[0],"successive":[1],"similar":[2,9,78],"pattern":[3],"(SSP)":[4],"is":[5,31,47,61,88,157,188],"a":[6,27,72,98,132],"series":[7],"of":[8,76,113,128,146,168],"sequences":[10],"that":[11,110],"occur":[12],"consecutively":[13],"at":[14],"non-regular":[15],"intervals":[16],"in":[17,33,56,82,198],"time":[18,58,200],"series.":[19],"Mining":[20],"SSPs":[21,112],"could":[22],"provide":[23],"valuable":[24],"information":[25],"without":[26],"priori":[28],"knowledge,":[29],"which":[30,83,147],"crucial":[32],"many":[34],"applications":[35,194],"ranging":[36],"from":[37],"health":[38],"monitoring":[39],"to":[40,63,180,192],"activity":[41],"recognition.":[42],"However,":[43],"most":[44],"existing":[45],"work":[46],"computationally":[48],"expensive,":[49],"focuses":[50],"only":[51],"on":[52,125,141],"periodic":[53],"patterns":[54,65,79,87],"occurring":[55,80],"regular":[57],"intervals,":[59],"and":[60,151,160,170,176,190],"unable":[62],"recognize":[64],"containing":[66],"multiple":[67,114,162],"periods.":[68],"Here":[69],"we":[70],"investigate":[71],"more":[73,158],"general":[74],"problem":[75],"finding":[77],"successively,":[81],"the":[84,91,126,155,174,181],"similarity":[85],"between":[86],"measured":[89],"by":[90],"z":[92],"-normalized":[93],"Euclidean":[94],"distance.":[95],"We":[96,121],"propose":[97],"linear":[99,199],"time,":[100],"robust":[101],"method,":[102],"called":[103],"Multiple-length":[104],"Successive":[105],"sIMilar":[106],"PAtterns":[107],"Detector":[108],"(mSIMPAD),":[109],"mines":[111],"lengths,":[115],"making":[116],"no":[117],"assumptions":[118],"regarding":[119],"periodicity.":[120],"apply":[122],"our":[123],"method":[124],"detection":[127],"repetitive":[129],"movement":[130],"using":[131],"wearable":[133],"inertial":[134],"measurement":[135],"unit.":[136],"The":[137],"experiments":[138],"were":[139],"conducted":[140],"three":[142],"public":[143],"datasets,":[144],"two":[145],"contain":[148],"simple":[149,175],"walking":[150,183],"idle":[152],"data,":[153],"whereas":[154],"third":[156],"complex":[159,177],"contains":[161],"activities.":[163],"mSIMPAD":[164,187],"achieved":[165],"F-score":[166],"improvements":[167],"3.2%":[169],"6.5%,":[171],"respectively,":[172],"over":[173],"datasets":[178],"compared":[179],"state-of-the-art":[182],"detector.":[184],"In":[185],"addition,":[186],"scalable":[189],"applicable":[191],"real-time":[193],"since":[195],"it":[196],"operates":[197],"complexity.":[201]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2020-07-16T00:00:00"}