{"id":"https://openalex.org/W4293569099","doi":"https://doi.org/10.1145/3560468","title":"Inferring Activity Patterns from Sparse Step Counts Data with Recurrent Neural Networks","display_name":"Inferring Activity Patterns from Sparse Step Counts Data with Recurrent Neural Networks","publication_year":2022,"publication_date":"2022-08-30","ids":{"openalex":"https://openalex.org/W4293569099","doi":"https://doi.org/10.1145/3560468"},"language":"en","primary_location":{"id":"doi:10.1145/3560468","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3560468","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":null,"license_id":null,"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/A5009002091","display_name":"Keqin Shi","orcid":"https://orcid.org/0000-0002-2486-5637"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Keqin Shi","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-2486-5637","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100457723","display_name":"Zhen Chen","orcid":"https://orcid.org/0000-0002-8423-3375"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Chen","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-8423-3375","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100628864","display_name":"Xuejing Li","orcid":"https://orcid.org/0000-0001-7145-7225"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuejing Li","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-7145-7225","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019882245","display_name":"Zhifei Xiao","orcid":"https://orcid.org/0000-0001-6341-6685"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhifei Xiao","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-6341-6685","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101703557","display_name":"Weiqiang Sun","orcid":"https://orcid.org/0000-0003-4191-1129"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiqiang Sun","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-4191-1129","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015039354","display_name":"Weisheng Hu","orcid":"https://orcid.org/0000-0002-6168-2688"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weisheng Hu","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-6168-2688","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5009002091"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.1192,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.46358643,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"4","issue":"1","first_page":"1","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10352","display_name":"Physical Activity and Health","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10352","display_name":"Physical Activity and Health","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"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/T11446","display_name":"Mobile Health and mHealth Applications","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/3600","display_name":"General Health Professions"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9914000034332275,"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/computer-science","display_name":"Computer science","score":0.774329662322998},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.5973932147026062},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.568416953086853},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4881013333797455},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48556849360466003},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46519339084625244},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.4550749361515045},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44205307960510254},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.437843918800354},{"id":"https://openalex.org/keywords/imputation","display_name":"Imputation (statistics)","score":0.4348217248916626},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.419768750667572},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3603268265724182},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.18868550658226013},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.10834160447120667}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.774329662322998},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.5973932147026062},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.568416953086853},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4881013333797455},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48556849360466003},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46519339084625244},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.4550749361515045},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44205307960510254},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.437843918800354},{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.4348217248916626},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.419768750667572},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3603268265724182},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.18868550658226013},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.10834160447120667},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3560468","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3560468","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":null,"license_id":null,"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":[{"display_name":"Decent work and economic growth","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/8"}],"awards":[{"id":"https://openalex.org/G3477432664","display_name":null,"funder_award_id":"18BTY097","funder_id":"https://openalex.org/F4320335869","funder_display_name":"National Social Science Fund of China"},{"id":"https://openalex.org/G3591447294","display_name":null,"funder_award_id":"61433009 and 61671286","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335869","display_name":"National Social Science Fund of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1511457234","https://openalex.org/W1522301498","https://openalex.org/W1533198000","https://openalex.org/W1545290034","https://openalex.org/W1598553907","https://openalex.org/W1924770834","https://openalex.org/W1964888768","https://openalex.org/W2000468374","https://openalex.org/W2024101422","https://openalex.org/W2035112165","https://openalex.org/W2064675550","https://openalex.org/W2069712243","https://openalex.org/W2073394706","https://openalex.org/W2077374261","https://openalex.org/W2099336098","https://openalex.org/W2103592184","https://openalex.org/W2136608905","https://openalex.org/W2136986309","https://openalex.org/W2137983211","https://openalex.org/W2146228935","https://openalex.org/W2146332392","https://openalex.org/W2157331557","https://openalex.org/W2164117960","https://openalex.org/W2166329458","https://openalex.org/W2532744202","https://openalex.org/W2608239929","https://openalex.org/W2729228834","https://openalex.org/W2803805253","https://openalex.org/W2898806014","https://openalex.org/W2899755574","https://openalex.org/W2964010366","https://openalex.org/W3035965352","https://openalex.org/W3099878876","https://openalex.org/W4212774754","https://openalex.org/W4243863038","https://openalex.org/W4300187280"],"related_works":["https://openalex.org/W2931688134","https://openalex.org/W2377919138","https://openalex.org/W2378857091","https://openalex.org/W4256502920","https://openalex.org/W103652678","https://openalex.org/W2999756192","https://openalex.org/W4226090359","https://openalex.org/W4382701072","https://openalex.org/W2011624601","https://openalex.org/W2975817033"],"abstract_inverted_index":{"As":[0],"an":[1,141],"accurate":[2],"measurement":[3],"of":[4,31,70,127,199],"physical":[5,33],"activity,":[6],"step":[7,23,54,72,103,129,149,185],"counts":[8,24,55,73,104,130,150,186],"data":[9,25,56,74,151,187,198],"can":[10,39,75,84,179],"be":[11,40,180],"collected":[12],"expediently":[13],"by":[14],"smartphones":[15],"and":[16,20,29,38,64,82,90,124,132,136,143],"wearable":[17],"devices.":[18],"Complete":[19],"high":[21,189],"time-resolution":[22],"record":[26],"the":[27,68],"time":[28],"intensity":[30],"individuals\u2019":[32],"activity":[34,44,99,155,177],"in":[35,59,80],"a":[36,108],"day,":[37],"used":[41,196],"to":[42,47,62,77,97,146,157],"mine":[43],"habits":[45],"or":[46],"recommend":[48],"customized":[49],"workout":[50],"plans.":[51],"However,":[52],"sparse":[53,71,102,128,148,184],"are":[57],"common":[58],"practice":[60],"due":[61],"hardware":[63,89],"software":[65],"limitations.":[66],"Understanding":[67],"value":[69],"contribute":[76],"its":[78],"application":[79],"healthcare,":[81],"also":[83,139,174],"help":[85],"us":[86],"design":[87,107],"cost-effective":[88],"software.":[91],"In":[92],"this":[93],"article,":[94],"we":[95],"aim":[96],"infer":[98],"patterns":[100,156,178],"from":[101,182],"data.":[105],"We":[106,138],"deep":[109],"learning":[110],"model":[111],"based":[112],"on":[113,161],"recurrent":[114],"neural":[115],"networks,":[116],"namely":[117],"MLP-GRU,":[118],"which":[119],"considers":[120],"bidirectional":[121],"short-term":[122],"dependency":[123],"long-term":[125],"regularity":[126],"data,":[131],"implements":[133],"data-driven":[134],"imputation":[135],"classification.":[137],"develop":[140],"interpretable":[142],"elastic":[144],"method":[145],"obtain":[147],"labeled":[152],"with":[153,188],"multi-granular":[154],"train":[158],"MLP-GRU.":[159],"Evaluations":[160],"real-world":[162],"datasets":[163],"reveal":[164],"that":[165,176,192],"MLP-GRU":[166],"outperforms":[167],"other":[168],"strong":[169],"baseline":[170],"methods.":[171],"The":[172],"results":[173],"show":[175],"inferred":[181],"extremely":[183],"accuracy,":[190],"provided":[191],"proper":[193],"granularity":[194],"is":[195],"for":[197],"different":[200],"sparsity.":[201]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}