{"id":"https://openalex.org/W4416160749","doi":"https://doi.org/10.3389/fcomp.2025.1696178","title":"Assisting annotators of wearable activity recognition datasets through automated sensor-based suggestions","display_name":"Assisting annotators of wearable activity recognition datasets through automated sensor-based suggestions","publication_year":2025,"publication_date":"2025-11-13","ids":{"openalex":"https://openalex.org/W4416160749","doi":"https://doi.org/10.3389/fcomp.2025.1696178"},"language":"en","primary_location":{"id":"doi:10.3389/fcomp.2025.1696178","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fcomp.2025.1696178","pdf_url":"https://public-pages-files-2025.frontiersin.org/journals/computer-science/articles/10.3389/fcomp.2025.1696178/pdf","source":{"id":"https://openalex.org/S4210211086","display_name":"Frontiers in Computer Science","issn_l":"2624-9898","issn":["2624-9898"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Computer Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://public-pages-files-2025.frontiersin.org/journals/computer-science/articles/10.3389/fcomp.2025.1696178/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035991485","display_name":"Lukas G\u00fcnthermann","orcid":"https://orcid.org/0000-0002-9297-179X"},"institutions":[{"id":"https://openalex.org/I162608824","display_name":"University of Sussex","ror":"https://ror.org/00ayhx656","country_code":"GB","type":"education","lineage":["https://openalex.org/I162608824"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Lukas G\u00fcnthermann","raw_affiliation_strings":["Department of Engineering and Design, University of Sussex, Brighton, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Department of Engineering and Design, University of Sussex, Brighton, United Kingdom","institution_ids":["https://openalex.org/I162608824"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016753399","display_name":"Ivor Simpson","orcid":"https://orcid.org/0000-0001-5605-6626"},"institutions":[{"id":"https://openalex.org/I162608824","display_name":"University of Sussex","ror":"https://ror.org/00ayhx656","country_code":"GB","type":"education","lineage":["https://openalex.org/I162608824"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ivor Simpson","raw_affiliation_strings":["Department of Informatics, University of Sussex, Brighton, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, University of Sussex, Brighton, United Kingdom","institution_ids":["https://openalex.org/I162608824"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046762323","display_name":"Philip Birch","orcid":"https://orcid.org/0000-0002-7740-9379"},"institutions":[{"id":"https://openalex.org/I162608824","display_name":"University of Sussex","ror":"https://ror.org/00ayhx656","country_code":"GB","type":"education","lineage":["https://openalex.org/I162608824"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Phil Birch","raw_affiliation_strings":["Department of Engineering and Design, University of Sussex, Brighton, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Department of Engineering and Design, University of Sussex, Brighton, United Kingdom","institution_ids":["https://openalex.org/I162608824"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051210293","display_name":"Daniel Roggen","orcid":"https://orcid.org/0000-0001-8033-6417"},"institutions":[{"id":"https://openalex.org/I162608824","display_name":"University of Sussex","ror":"https://ror.org/00ayhx656","country_code":"GB","type":"education","lineage":["https://openalex.org/I162608824"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Daniel Roggen","raw_affiliation_strings":["Department of Engineering and Design, University of Sussex, Brighton, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Department of Engineering and Design, University of Sussex, Brighton, United Kingdom","institution_ids":["https://openalex.org/I162608824"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5035991485"],"corresponding_institution_ids":["https://openalex.org/I162608824"],"apc_list":{"value":1150,"currency":"USD","value_usd":1150},"apc_paid":{"value":1150,"currency":"USD","value_usd":1150},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.34011427,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.7513999938964844,"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"}},"topics":[{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.7513999938964844,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.07270000129938126,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.03180000185966492,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.9156000018119812},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.7275999784469604},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6146000027656555},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.560699999332428},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.542900025844574},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4090000092983246},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.31850001215934753}],"concepts":[{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.9156000018119812},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7810999751091003},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.7275999784469604},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6146000027656555},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.560699999332428},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.542900025844574},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49239999055862427},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43209999799728394},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4090000092983246},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.39969998598098755},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.31850001215934753},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.30880001187324524},{"id":"https://openalex.org/C199579030","wikidata":"https://www.wikidata.org/wiki/Q2851778","display_name":"Automatic image annotation","level":4,"score":0.29910001158714294},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.29319998621940613},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.289000004529953},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2865999937057495},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.2840000092983246},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2791000008583069},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.27649998664855957},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2540999948978424}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3389/fcomp.2025.1696178","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fcomp.2025.1696178","pdf_url":"https://public-pages-files-2025.frontiersin.org/journals/computer-science/articles/10.3389/fcomp.2025.1696178/pdf","source":{"id":"https://openalex.org/S4210211086","display_name":"Frontiers in Computer Science","issn_l":"2624-9898","issn":["2624-9898"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Computer Science","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:87b4ebd198764a9e8274176350aaad51","is_oa":true,"landing_page_url":"https://doaj.org/article/87b4ebd198764a9e8274176350aaad51","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Frontiers in Computer Science, Vol 7 (2025)","raw_type":"article"},{"id":"pmh:oai:figshare.com:article/30386623","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal contribution"}],"best_oa_location":{"id":"doi:10.3389/fcomp.2025.1696178","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fcomp.2025.1696178","pdf_url":"https://public-pages-files-2025.frontiersin.org/journals/computer-science/articles/10.3389/fcomp.2025.1696178/pdf","source":{"id":"https://openalex.org/S4210211086","display_name":"Frontiers in Computer Science","issn_l":"2624-9898","issn":["2624-9898"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1829457474","display_name":null,"funder_award_id":"H2020-ICT-2019-3","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"},{"id":"https://openalex.org/G5542951831","display_name":null,"funder_award_id":"952026","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"},{"id":"https://openalex.org/G7331901853","display_name":null,"funder_award_id":"EU H2020","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"}],"funders":[{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416160749.pdf","grobid_xml":"https://content.openalex.org/works/W4416160749.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1507216665","https://openalex.org/W2023302299","https://openalex.org/W2029469562","https://openalex.org/W2060233269","https://openalex.org/W2072133687","https://openalex.org/W2125359479","https://openalex.org/W2126511896","https://openalex.org/W2157289187","https://openalex.org/W2167397776","https://openalex.org/W2270470215","https://openalex.org/W2883766876","https://openalex.org/W2886531986","https://openalex.org/W2941938700","https://openalex.org/W2981707565","https://openalex.org/W2981846224","https://openalex.org/W2984353433","https://openalex.org/W2995603090","https://openalex.org/W2998994232","https://openalex.org/W3112492866","https://openalex.org/W3144294392","https://openalex.org/W3146459559","https://openalex.org/W3164845984","https://openalex.org/W4286656087","https://openalex.org/W4312889818","https://openalex.org/W4323043003","https://openalex.org/W4360979581","https://openalex.org/W4377970490","https://openalex.org/W4381849947","https://openalex.org/W4388750297","https://openalex.org/W4390781890","https://openalex.org/W4392266897","https://openalex.org/W4394748650","https://openalex.org/W4400794945"],"related_works":[],"abstract_inverted_index":{"Wearable":[0],"Activity":[1],"Recognition":[2],"consists":[3],"of":[4,7,25,51,89,100,109,126,132,149,155],"recognizing":[5],"actions":[6],"people":[8],"from":[9],"on-body":[10],"sensor":[11,162],"data":[12],"using":[13],"machine":[14,18,39],"learning.":[15],"Developing":[16],"suitable":[17],"learning":[19,40],"models":[20],"typically":[21],"requires":[22],"substantial":[23],"amounts":[24],"annotated":[26],"training":[27],"data.":[28],"Manually":[29],"annotating":[30,147],"large":[31,118],"datasets":[32,119],"is":[33,92,103],"tedious":[34],"and":[35,84,123,176],"time":[36,54,66],"intensive.":[37],"Interactive":[38],"systems":[41],"can":[42],"be":[43],"used":[44],"to":[45,82,113],"support":[46],"this,":[47],"with":[48,70,74,140,146],"the":[49,86,107,130,170,177,181,188,193,208,218],"aim":[50],"reducing":[52],"annotation":[53,63,87,108,174,190,194,203,223,228],"or":[55],"improving":[56],"accuracy.":[57],"We":[58,168],"contribute":[59],"a":[60,71,137,152],"new":[61],"web-based":[62],"tool":[64],"for":[65,106,222,227],"series":[67],"signals":[68],"synchronized":[69],"video":[72],"recording":[73],"integrated":[75],"automated":[76],"suggestions,":[77],"facilitated":[78],"by":[79,94,165,196,205],"ML":[80],"models,":[81],"assist":[83],"improve":[85],"process":[88],"annotators.":[90],"This":[91,102],"enabled":[93],"focusing":[95],"user":[96,138,182],"attention":[97],"toward":[98],"points":[99,125],"interest.":[101],"particularly":[104],"relevant":[105],"long":[110,157],"periodic":[111],"activities":[112],"allow":[114],"fast":[115],"navigation":[116],"in":[117,151],"without":[120],"skipping":[121],"start":[122],"end":[124],"activities.":[127],"To":[128],"evaluate":[129],"efficacy":[131],"this":[133],"system,":[134],"we":[135],"conducted":[136],"study":[139],"32":[141],"participants":[142,216],"who":[143],"were":[144],"tasked":[145],"modes":[148],"locomotion":[150],"dataset":[153],"composed":[154],"multiple":[156],"(over":[158],"12":[159],"h)":[160],"consecutive":[161],"recordings":[163],"captured":[164],"body-worn":[166],"accelerometers.":[167],"analyzed":[169],"quantitative":[171],"impact":[172,179],"on":[173,180],"performance":[175],"qualitative":[178],"experience.":[183],"The":[184],"results":[185,213],"show":[186,214],"that":[187,215],"implemented":[189],"assistance":[191,219],"improved":[192],"quality":[195],"11%":[197],"F":[198],"1":[199],"Score":[200],"but":[201,225],"reduced":[202],"speed":[204,224],"20%,":[206],"whereas":[207],"NASA":[209],"Task":[210],"Load":[211],"Index":[212],"perceived":[217],"as":[220],"beneficial":[221],"not":[226],"quality.":[229]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-11-13T00:00:00"}