{"id":"https://openalex.org/W4388286158","doi":"https://doi.org/10.1109/tim.2023.3329818","title":"Constrained Adaptive Distillation Based on Topological Persistence for Wearable Sensor Data","display_name":"Constrained Adaptive Distillation Based on Topological Persistence for Wearable Sensor Data","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4388286158","doi":"https://doi.org/10.1109/tim.2023.3329818","pmid":"https://pubmed.ncbi.nlm.nih.gov/38818128"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2023.3329818","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3329818","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Instrumentation and Measurement","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11137740/pdf/nihms-1945041.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003097277","display_name":"Eun Som Jeon","orcid":"https://orcid.org/0000-0002-1112-4653"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Eun Som Jeon","raw_affiliation_strings":["Geometric Media Laboratory, School of Arts, Media and Engineering, and the School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, USA"],"raw_orcid":"https://orcid.org/0000-0002-1112-4653","affiliations":[{"raw_affiliation_string":"Geometric Media Laboratory, School of Arts, Media and Engineering, and the School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037900982","display_name":"Hongjun Choi","orcid":"https://orcid.org/0000-0003-0973-9541"},"institutions":[{"id":"https://openalex.org/I1282311441","display_name":"Lawrence Livermore National Laboratory","ror":"https://ror.org/041nk4h53","country_code":"US","type":"facility","lineage":["https://openalex.org/I1282311441","https://openalex.org/I1330989302","https://openalex.org/I198811213","https://openalex.org/I4210138311"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongjun Choi","raw_affiliation_strings":["Lawrence Livermore National Laboratory, Livermore, CA, USA"],"raw_orcid":"https://orcid.org/0000-0003-0973-9541","affiliations":[{"raw_affiliation_string":"Lawrence Livermore National Laboratory, Livermore, CA, USA","institution_ids":["https://openalex.org/I1282311441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023797933","display_name":"Ankita Shukla","orcid":"https://orcid.org/0000-0002-1878-2667"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ankita Shukla","raw_affiliation_strings":["Geometric Media Laboratory, School of Arts, Media and Engineering, and the School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, USA"],"raw_orcid":"https://orcid.org/0000-0002-1878-2667","affiliations":[{"raw_affiliation_string":"Geometric Media Laboratory, School of Arts, Media and Engineering, and the School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100344808","display_name":"Yuan Wang","orcid":"https://orcid.org/0000-0001-5871-9497"},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuan Wang","raw_affiliation_strings":["Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC, USA"],"raw_orcid":"https://orcid.org/0000-0001-5871-9497","affiliations":[{"raw_affiliation_string":"Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC, USA","institution_ids":["https://openalex.org/I155781252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000559212","display_name":"Matthew P. Buman","orcid":"https://orcid.org/0000-0002-5130-3162"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthew P. Buman","raw_affiliation_strings":["College of Health Solutions, Arizona State University, Phoenix, AZ, USA"],"raw_orcid":"https://orcid.org/0000-0002-5130-3162","affiliations":[{"raw_affiliation_string":"College of Health Solutions, Arizona State University, Phoenix, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062945520","display_name":"Pavan Turaga","orcid":"https://orcid.org/0000-0002-5263-5943"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pavan Turaga","raw_affiliation_strings":["Geometric Media Laboratory, School of Arts, Media and Engineering, and the School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, USA"],"raw_orcid":"https://orcid.org/0000-0002-5263-5943","affiliations":[{"raw_affiliation_string":"Geometric Media Laboratory, School of Arts, Media and Engineering, and the School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5003097277"],"corresponding_institution_ids":["https://openalex.org/I55732556"],"apc_list":null,"apc_paid":null,"fwci":0.7759,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.76609798,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"72","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12536","display_name":"Topological and Geometric Data Analysis","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12536","display_name":"Topological and Geometric Data Analysis","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9332000017166138,"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":0.6569594144821167},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.650806725025177},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6387828588485718},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.5022883415222168},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4436858594417572},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4380176365375519},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.384324848651886},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3705296516418457},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.09286090731620789}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6569594144821167},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.650806725025177},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6387828588485718},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.5022883415222168},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4436858594417572},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4380176365375519},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.384324848651886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3705296516418457},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.09286090731620789},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tim.2023.3329818","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3329818","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Instrumentation and Measurement","raw_type":"journal-article"},{"id":"pmid:38818128","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38818128","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on instrumentation and measurement","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11137740","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11137740","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11137740/pdf/nihms-1945041.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Instrum Meas","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:11137740","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11137740","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11137740/pdf/nihms-1945041.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Instrum Meas","raw_type":"Text"},"sustainable_development_goals":[{"score":0.7699999809265137,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G1152011311","display_name":null,"funder_award_id":"2200161","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G1160299270","display_name":null,"funder_award_id":"2200161","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5198503464","display_name":null,"funder_award_id":"R01GM135927","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337354","display_name":"National Institute of General Medical Sciences","ror":"https://ror.org/04q48ey07"},{"id":"https://openalex.org/F4320337380","display_name":"Division of Mathematical Sciences","ror":"https://ror.org/051fftw81"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388286158.pdf","grobid_xml":"https://content.openalex.org/works/W4388286158.grobid-xml"},"referenced_works_count":62,"referenced_works":["https://openalex.org/W1821462560","https://openalex.org/W1968670561","https://openalex.org/W2017634428","https://openalex.org/W2024060531","https://openalex.org/W2026297770","https://openalex.org/W2113792310","https://openalex.org/W2243012843","https://openalex.org/W2247209766","https://openalex.org/W2294370754","https://openalex.org/W2537346363","https://openalex.org/W2551239383","https://openalex.org/W2583876046","https://openalex.org/W2743289088","https://openalex.org/W2781486669","https://openalex.org/W2801377467","https://openalex.org/W2892765075","https://openalex.org/W2893763084","https://openalex.org/W2963453233","https://openalex.org/W2963661907","https://openalex.org/W2964137095","https://openalex.org/W2964237352","https://openalex.org/W2982242214","https://openalex.org/W2998531464","https://openalex.org/W3004127093","https://openalex.org/W3008872739","https://openalex.org/W3013843370","https://openalex.org/W3015565442","https://openalex.org/W3033509244","https://openalex.org/W3034368386","https://openalex.org/W3037885005","https://openalex.org/W3045672834","https://openalex.org/W3082444343","https://openalex.org/W3133405160","https://openalex.org/W3135297645","https://openalex.org/W3138154797","https://openalex.org/W3152607317","https://openalex.org/W3165474212","https://openalex.org/W3199815568","https://openalex.org/W4200516889","https://openalex.org/W4224927203","https://openalex.org/W4239510810","https://openalex.org/W4255383393","https://openalex.org/W4289599211","https://openalex.org/W4296079392","https://openalex.org/W4306885309","https://openalex.org/W4308234052","https://openalex.org/W4312424218","https://openalex.org/W4312929415","https://openalex.org/W4313839229","https://openalex.org/W4323521033","https://openalex.org/W4376273031","https://openalex.org/W6637551013","https://openalex.org/W6694154208","https://openalex.org/W6729266799","https://openalex.org/W6730179637","https://openalex.org/W6739651123","https://openalex.org/W6750109254","https://openalex.org/W6754810493","https://openalex.org/W6779661468","https://openalex.org/W6798823677","https://openalex.org/W6839053282","https://openalex.org/W6841758217"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2108418243","https://openalex.org/W2127804977","https://openalex.org/W164103134","https://openalex.org/W2787352659","https://openalex.org/W4391590134","https://openalex.org/W3046039077","https://openalex.org/W2590770961"],"abstract_inverted_index":{"Wearable":[0],"sensor":[1,180],"data":[2,10],"analysis":[3,11],"with":[4,51],"persistence":[5,56],"features":[6,100],"generated":[7,58,154],"by":[8,59,155],"topological":[9,31],"(TDA)":[12],"has":[13],"achieved":[14],"great":[15],"successes":[16],"in":[17,81,119],"various":[18],"applications,":[19],"however,":[20],"it":[21],"suffers":[22],"from":[23,67,101,146],"large":[24],"computational":[25],"and":[26,55,85,105,136,162],"time":[27],"resources":[28],"for":[29,116,159],"extracting":[30],"features.":[32],"In":[33],"this":[34,90],"paper,":[35],"our":[36],"approach":[37],"utilizes":[38],"knowledge":[39,66,83,112,145],"distillation":[40],"(KD)":[41],"that":[42,97],"involves":[43],"the":[44,52,68,77,132,138,144,172,175],"use":[45],"of":[46,65,134,174],"multiple":[47],"teacher":[48,69],"networks":[49],"trained":[50],"raw":[53],"time-series":[54],"images":[57],"TDA,":[60],"respectively.":[61],"However,":[62],"direct":[63],"transfer":[64],"models":[70,158],"utilizing":[71],"different":[72,103,156],"characteristics":[73],"as":[74],"inputs":[75],"to":[76,109,129,141],"student":[78,108,139],"model":[79,140],"results":[80],"a":[82,94,107,166],"gap":[84],"limited":[86],"performance.":[87],"To":[88,114,149],"address":[89],"problem,":[91],"we":[92],"introduce":[93],"robust":[95],"framework":[96],"integrates":[98],"multimodal":[99],"two":[102,147],"teachers":[104,135],"enables":[106],"learn":[110],"desirable":[111],"effectively.":[113],"account":[115],"statistical":[117],"differences":[118],"multimodalities,":[120],"entropy":[121],"based":[122],"constrained":[123],"adaptive":[124],"weighting":[125],"mechanism":[126],"is":[127],"leveraged":[128],"automatically":[130],"balance":[131],"effects":[133],"encourage":[137],"adequately":[142],"adopt":[143],"teachers.":[148],"assimilate":[150],"dissimilar":[151],"structural":[152],"information":[153],"style":[157],"distillation,":[160],"batch":[161],"channel":[163],"similarities":[164],"within":[165],"mini-batch":[167],"are":[168],"used.":[169],"We":[170],"demonstrate":[171],"effectiveness":[173],"proposed":[176],"method":[177],"on":[178],"wearable":[179],"data.":[181]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}