{"id":"https://openalex.org/W4396920196","doi":"https://doi.org/10.1145/3659589","title":"AutoAugHAR: Automated Data Augmentation for Sensor-based Human Activity Recognition","display_name":"AutoAugHAR: Automated Data Augmentation for Sensor-based Human Activity Recognition","publication_year":2024,"publication_date":"2024-05-13","ids":{"openalex":"https://openalex.org/W4396920196","doi":"https://doi.org/10.1145/3659589"},"language":"en","primary_location":{"id":"doi:10.1145/3659589","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3659589","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3659589","source":{"id":"https://openalex.org/S4210219751","display_name":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","issn_l":"2474-9567","issn":["2474-9567"],"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":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3659589","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066616703","display_name":"Yexu Zhou","orcid":"https://orcid.org/0000-0002-8866-7998"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Yexu Zhou","raw_affiliation_strings":["Karlsruhe Institute of Technology, Germany"],"raw_orcid":"https://orcid.org/0000-0002-8866-7998","affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084787896","display_name":"Haibin Zhao","orcid":"https://orcid.org/0000-0001-7018-1159"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Haibin Zhao","raw_affiliation_strings":["Karlsruhe Institute of Technology, Germany"],"raw_orcid":"https://orcid.org/0000-0001-7018-1159","affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078844625","display_name":"Yiran Huang","orcid":"https://orcid.org/0000-0003-3805-1375"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Yiran Huang","raw_affiliation_strings":["Karlsruhe Institute of Technology, Germany"],"raw_orcid":"https://orcid.org/0000-0003-3805-1375","affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069745172","display_name":"Tobias R\u00f6ddiger","orcid":"https://orcid.org/0000-0002-4718-9280"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Tobias R\u00f6ddiger","raw_affiliation_strings":["Karlsruhe Institute of Technology, Germany"],"raw_orcid":"https://orcid.org/0000-0002-4718-9280","affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075638282","display_name":"M.N. Kurnaz","orcid":"https://orcid.org/0009-0000-0578-2388"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Murat Kurnaz","raw_affiliation_strings":["Karlsruhe Institute of Technology, Germany"],"raw_orcid":"https://orcid.org/0009-0000-0578-2388","affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066888374","display_name":"Till Riedel","orcid":"https://orcid.org/0000-0003-4547-1984"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Till Riedel","raw_affiliation_strings":["Karlsruhe Institute of Technology, Germany"],"raw_orcid":"https://orcid.org/0000-0003-4547-1984","affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082553444","display_name":"Michael Beigl","orcid":"https://orcid.org/0000-0001-5009-2327"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael Beigl","raw_affiliation_strings":["Karlsruhe Institute of Technology, Germany"],"raw_orcid":"https://orcid.org/0000-0001-5009-2327","affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology, Germany","institution_ids":["https://openalex.org/I102335020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.7717,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.96088889,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"8","issue":"2","first_page":"1","last_page":"27"},"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9901999831199646,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9740999937057495,"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/activity-recognition","display_name":"Activity recognition","score":0.7177730798721313},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5333184003829956},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4175894260406494},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3911077082157135},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34774714708328247}],"concepts":[{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.7177730798721313},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5333184003829956},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4175894260406494},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3911077082157135},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34774714708328247}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3659589","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3659589","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3659589","source":{"id":"https://openalex.org/S4210219751","display_name":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","issn_l":"2474-9567","issn":["2474-9567"],"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":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3659589","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3659589","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3659589","source":{"id":"https://openalex.org/S4210219751","display_name":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","issn_l":"2474-9567","issn":["2474-9567"],"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":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4396920196.pdf"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W10548402","https://openalex.org/W134960717","https://openalex.org/W2017634428","https://openalex.org/W2054997020","https://openalex.org/W2073401630","https://openalex.org/W2088111259","https://openalex.org/W2090411045","https://openalex.org/W2098481605","https://openalex.org/W2144348409","https://openalex.org/W2219995598","https://openalex.org/W2270470215","https://openalex.org/W2340025709","https://openalex.org/W2559463885","https://openalex.org/W2559655401","https://openalex.org/W2620664872","https://openalex.org/W2751594996","https://openalex.org/W2940096514","https://openalex.org/W2943173229","https://openalex.org/W2954996726","https://openalex.org/W2960010704","https://openalex.org/W2963716982","https://openalex.org/W2964081807","https://openalex.org/W2967733054","https://openalex.org/W2978943609","https://openalex.org/W3004151317","https://openalex.org/W3035682985","https://openalex.org/W3041051645","https://openalex.org/W3046296398","https://openalex.org/W3047916742","https://openalex.org/W3086632078","https://openalex.org/W3101667008","https://openalex.org/W3102455230","https://openalex.org/W3114473259","https://openalex.org/W3128981305","https://openalex.org/W3135508964","https://openalex.org/W3137607436","https://openalex.org/W3144294392","https://openalex.org/W3158057761","https://openalex.org/W3160453855","https://openalex.org/W3164845984","https://openalex.org/W3168883722","https://openalex.org/W3171759068","https://openalex.org/W4205466227","https://openalex.org/W4294891654","https://openalex.org/W4308834535","https://openalex.org/W4312889818","https://openalex.org/W4315631007","https://openalex.org/W4319837251","https://openalex.org/W4366250516","https://openalex.org/W4380361332","https://openalex.org/W4382053233","https://openalex.org/W4385764165","https://openalex.org/W4387421164","https://openalex.org/W6888550547","https://openalex.org/W6888561272"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Sensor-based":[0],"HAR":[1,42,78,87,105,137,173],"models":[2],"face":[3],"challenges":[4,76],"in":[5,31,41,172],"cross-subject":[6],"generalization":[7],"due":[8],"to":[9,60,115],"the":[10,18,64,72,83,93,140,149],"complexities":[11],"of":[12,22,67,77,124,154],"data":[13,25,53,118],"collection":[14],"and":[15,20,36,71,75,112,151,176],"annotation,":[16],"impacting":[17],"size":[19],"representativeness":[21],"datasets.":[23],"While":[24],"augmentation":[26,54,69,84,119],"has":[27,108],"been":[28],"successfully":[29],"employed":[30],"domains":[32],"like":[33],"natural":[34],"language":[35],"image":[37],"processing,":[38],"its":[39,127,132,166],"application":[40],"remains":[43],"underexplored.":[44],"This":[45],"study":[46],"presents":[47],"AutoAugHAR,":[48],"an":[49,181],"innovative":[50],"two-stage":[51],"gradient-based":[52],"optimization":[55],"framework.":[56],"AutoAugHAR":[57,107,125,155],"is":[58,126],"designed":[59],"take":[61],"into":[62],"account":[63],"unique":[65,73],"attributes":[66],"candidate":[68],"operations":[70],"nature":[74],"tasks.":[79],"Notably,":[80],"it":[81,179],"optimizes":[82],"pipeline":[85],"during":[86],"model":[88,138,174],"training":[89,94,175],"without":[90,139],"substantially":[91],"extending":[92],"duration.":[95],"In":[96],"evaluations":[97],"on":[98,156],"eight":[99],"inertial-measurement-units-based":[100],"benchmark":[101],"datasets":[102,158],"using":[103],"five":[104],"models,":[106],"demonstrated":[109],"superior":[110],"robustness":[111],"effectiveness":[113],"compared":[114],"other":[116,160],"leading":[117],"frameworks.":[120],"A":[121],"salient":[122],"feature":[123],"model-agnostic":[128],"design,":[129],"allowing":[130],"for":[131,142],"seamless":[133],"integration":[134,167],"with":[135],"any":[136],"need":[141],"structural":[143],"modifications.":[144],"Furthermore,":[145],"we":[146],"also":[147],"demonstrate":[148],"generalizability":[150],"flexible":[152],"extensibility":[153],"four":[157],"from":[159],"adjacent":[161],"domains.":[162],"We":[163],"strongly":[164],"recommend":[165],"as":[168,180],"a":[169],"standard":[170],"protocol":[171],"will":[177],"release":[178],"open-source":[182],"tool1.":[183]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":6}],"updated_date":"2026-06-16T09:24:06.705377","created_date":"2025-10-10T00:00:00"}