{"id":"https://openalex.org/W3125021120","doi":"https://doi.org/10.1109/access.2024.3496497","title":"B-HAR: An Open-Source Baseline Framework for In-Depth Study of Human Activity Recognition Datasets and Workflows","display_name":"B-HAR: An Open-Source Baseline Framework for In-Depth Study of Human Activity Recognition Datasets and Workflows","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W3125021120","doi":"https://doi.org/10.1109/access.2024.3496497","mag":"3125021120"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3496497","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3496497","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3496497","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082029992","display_name":"Cristian Turetta","orcid":"https://orcid.org/0000-0002-8018-0472"},"institutions":[{"id":"https://openalex.org/I119439378","display_name":"University of Verona","ror":"https://ror.org/039bp8j42","country_code":"IT","type":"education","lineage":["https://openalex.org/I119439378"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Cristian Turetta","raw_affiliation_strings":["Department of Computer Science, University of Verona, Verona, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Verona, Verona, Italy","institution_ids":["https://openalex.org/I119439378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085342510","display_name":"Florenc Demrozi","orcid":"https://orcid.org/0000-0002-5422-9826"},"institutions":[{"id":"https://openalex.org/I92008406","display_name":"University of Stavanger","ror":"https://ror.org/02qte9q33","country_code":"NO","type":"education","lineage":["https://openalex.org/I92008406"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Florenc Demrozi","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Stavanger, Stavanger, Norway"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Stavanger, Stavanger, Norway","institution_ids":["https://openalex.org/I92008406"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025088388","display_name":"Graziano Pravadelli","orcid":"https://orcid.org/0000-0002-7833-1673"},"institutions":[{"id":"https://openalex.org/I119439378","display_name":"University of Verona","ror":"https://ror.org/039bp8j42","country_code":"IT","type":"education","lineage":["https://openalex.org/I119439378"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Graziano Pravadelli","raw_affiliation_strings":["Department of Engineering for Innovation Medicine, University of Verona, Verona, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Engineering for Innovation Medicine, University of Verona, Verona, Italy","institution_ids":["https://openalex.org/I119439378"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5082029992"],"corresponding_institution_ids":["https://openalex.org/I119439378"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.2536,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.45197077,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"12","issue":null,"first_page":"166911","last_page":"166922"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9998000264167786,"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":0.9998000264167786,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9839000105857849,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9776999950408936,"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/workflow","display_name":"Workflow","score":0.8232400417327881},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.7921704649925232},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7578684091567993},{"id":"https://openalex.org/keywords/standardization","display_name":"Standardization","score":0.6857637166976929},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5946779251098633},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5903620719909668},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5566182136535645},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.494914710521698},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4718591868877411},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.4461188316345215},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.424216091632843},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4190672039985657},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.15374606847763062},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10011720657348633},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.07424098253250122}],"concepts":[{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.8232400417327881},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.7921704649925232},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7578684091567993},{"id":"https://openalex.org/C188087704","wikidata":"https://www.wikidata.org/wiki/Q369577","display_name":"Standardization","level":2,"score":0.6857637166976929},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5946779251098633},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5903620719909668},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5566182136535645},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.494914710521698},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4718591868877411},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.4461188316345215},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.424216091632843},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4190672039985657},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.15374606847763062},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10011720657348633},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.07424098253250122},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2024.3496497","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3496497","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2101.10870","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2101.10870","pdf_url":"https://arxiv.org/pdf/2101.10870","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:doaj.org/article:b8bed346759c41cbae0aaf41aff9e2c3","is_oa":true,"landing_page_url":"https://doaj.org/article/b8bed346759c41cbae0aaf41aff9e2c3","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":"IEEE Access, Vol 12, Pp 166911-166922 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3496497","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3496497","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W46659105","https://openalex.org/W123295786","https://openalex.org/W134960717","https://openalex.org/W165945781","https://openalex.org/W1505617269","https://openalex.org/W1663973292","https://openalex.org/W1947481528","https://openalex.org/W1983705368","https://openalex.org/W2017634428","https://openalex.org/W2026297770","https://openalex.org/W2054242744","https://openalex.org/W2054780155","https://openalex.org/W2057907879","https://openalex.org/W2090805767","https://openalex.org/W2091066410","https://openalex.org/W2093323495","https://openalex.org/W2098043650","https://openalex.org/W2104933073","https://openalex.org/W2126511896","https://openalex.org/W2128892560","https://openalex.org/W2131850886","https://openalex.org/W2133990480","https://openalex.org/W2145343602","https://openalex.org/W2161336914","https://openalex.org/W2167101736","https://openalex.org/W2270470215","https://openalex.org/W2490662969","https://openalex.org/W2521200999","https://openalex.org/W2548335893","https://openalex.org/W2588589522","https://openalex.org/W2625625371","https://openalex.org/W2726857341","https://openalex.org/W2781474777","https://openalex.org/W2893511508","https://openalex.org/W2898242330","https://openalex.org/W2901081366","https://openalex.org/W2945478559","https://openalex.org/W2947898397","https://openalex.org/W2965955791","https://openalex.org/W2972660824","https://openalex.org/W2986888469","https://openalex.org/W2990961119","https://openalex.org/W2997591727","https://openalex.org/W3012919764","https://openalex.org/W3016772913","https://openalex.org/W3017181332","https://openalex.org/W3028031870","https://openalex.org/W3034187778","https://openalex.org/W3039573164","https://openalex.org/W3043128363","https://openalex.org/W3081964783","https://openalex.org/W3082562132","https://openalex.org/W3087291280","https://openalex.org/W3126662221","https://openalex.org/W3164845984","https://openalex.org/W3186880439","https://openalex.org/W3209402958","https://openalex.org/W3212939902","https://openalex.org/W4205340517","https://openalex.org/W4237908287","https://openalex.org/W4293713156","https://openalex.org/W4302763498","https://openalex.org/W4317624908","https://openalex.org/W4376480454","https://openalex.org/W6602002561","https://openalex.org/W6680146123"],"related_works":["https://openalex.org/W2378767206","https://openalex.org/W1540871478","https://openalex.org/W328308450","https://openalex.org/W282641168","https://openalex.org/W2376963063","https://openalex.org/W2066396794","https://openalex.org/W2366734808","https://openalex.org/W2391444248","https://openalex.org/W2390716080","https://openalex.org/W2355065378"],"abstract_inverted_index":{"Human":[0],"Activity":[1],"Recognition":[2],"(HAR)":[3],"plays":[4],"a":[5,58],"pivotal":[6],"role":[7],"in":[8,85,113,117,122],"diverse":[9],"fields":[10],"such":[11],"as":[12,133,135],"healthcare,":[13,118],"performance":[14],"monitoring,":[15],"and":[16,23,44,55,66,76,79,108,125,130],"risk":[17],"prevention,":[18],"employing":[19],"Machine":[20],"Learning":[21,25],"(ML)":[22],"Deep":[24],"(DL)":[26],"algorithms.":[27],"This":[28],"paper":[29],"introduces":[30],"B-HAR":[31,61],"(Baseline-HAR),":[32],"an":[33],"open-source":[34],"framework":[35],"based":[36],"on":[37],"Service-Oriented":[38],"Architecture":[39],"to":[40,64],"facilitate":[41],"the":[42,53],"engineering":[43,114],"evaluation":[45],"of":[46,57],"different":[47],"ML/DL-based":[48],"HAR":[49,68,102],"methodologies.":[50],"By":[51],"automating":[52],"creation":[54],"implementation":[56],"baseline":[59],"workflow,":[60],"enables":[62],"researchers":[63],"assess":[65],"compare":[67],"methods":[69],"effectively.":[70],"It":[71],"integrates":[72],"prevalent":[73],"data-processing":[74],"techniques":[75],"popular":[77],"machine":[78],"deep":[80],"learning":[81],"models,":[82],"ensuring":[83],"consistency":[84],"data":[86],"preprocessing":[87],"while":[88],"allowing":[89],"for":[90,128],"custom":[91],"model":[92],"integration.":[93],"The":[94],"framework\u2019s":[95],"efficacy":[96],"is":[97],"demonstrated":[98],"across":[99],"nine":[100],"prominent":[101],"datasets,":[103],"encompassing":[104],"various":[105],"sensor":[106],"types":[107],"placements,":[109],"showcasing":[110],"its":[111],"utility":[112],"applications,":[115],"particularly":[116],"where":[119],"it":[120],"aids":[121],"diagnosis,":[123],"rehabilitation,":[124],"treatment":[126],"optimization":[127],"neurological":[129],"physiatric":[131],"disorders,":[132],"well":[134],"assisting":[136],"individuals":[137],"with":[138],"special":[139],"needs.":[140]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2021-02-01T00:00:00"}
