{"id":"https://openalex.org/W2966923125","doi":"https://doi.org/10.1109/icra.2019.8794251","title":"Personalized Online Learning of Whole-Body Motion Classes using Multiple Inertial Measurement Units","display_name":"Personalized Online Learning of Whole-Body Motion Classes using Multiple Inertial Measurement Units","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2966923125","doi":"https://doi.org/10.1109/icra.2019.8794251","mag":"2966923125"},"language":"en","primary_location":{"id":"doi:10.1109/icra.2019.8794251","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2019.8794251","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5005558095","display_name":"Viktor Losing","orcid":"https://orcid.org/0000-0002-7444-1904"},"institutions":[{"id":"https://openalex.org/I20121455","display_name":"Bielefeld University","ror":"https://ror.org/02hpadn98","country_code":"DE","type":"education","lineage":["https://openalex.org/I20121455"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Viktor Losing","raw_affiliation_strings":["Bielefeld University, Bielefeld, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bielefeld University, Bielefeld, Germany","institution_ids":["https://openalex.org/I20121455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113669617","display_name":"Taizo Yoshikawa","orcid":null},"institutions":[{"id":"https://openalex.org/I1283473643","display_name":"Honda (Japan)","ror":"https://ror.org/03jzay846","country_code":"JP","type":"company","lineage":["https://openalex.org/I1283473643"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Taizo Yoshikawa","raw_affiliation_strings":["HONDA R&D Co., Ltd. R&D Center X, 8-1 Honcho, Wako-shi, Saitama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HONDA R&D Co., Ltd. R&D Center X, 8-1 Honcho, Wako-shi, Saitama, Japan","institution_ids":["https://openalex.org/I1283473643"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017604216","display_name":"Martina Hasenjaeger","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Martina Hasenjaeger","raw_affiliation_strings":["HONDA Research Institute Europe, Carl-Legien-Str. 30, Offenbach am Main, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HONDA Research Institute Europe, Carl-Legien-Str. 30, Offenbach am Main, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091180862","display_name":"Barbara Hammer","orcid":"https://orcid.org/0000-0002-0935-5591"},"institutions":[{"id":"https://openalex.org/I20121455","display_name":"Bielefeld University","ror":"https://ror.org/02hpadn98","country_code":"DE","type":"education","lineage":["https://openalex.org/I20121455"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Barbara Hammer","raw_affiliation_strings":["Bielefeld University, Bielefeld, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bielefeld University, Bielefeld, Germany","institution_ids":["https://openalex.org/I20121455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004229948","display_name":"Heiko Wersing","orcid":"https://orcid.org/0000-0001-8481-2396"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Heiko Wersing","raw_affiliation_strings":["HONDA Research Institute Europe, Carl-Legien-Str. 30, Offenbach am Main, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HONDA Research Institute Europe, Carl-Legien-Str. 30, Offenbach am Main, Germany","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6405,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.77354834,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"3","issue":null,"first_page":"9530","last_page":"9536"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9995999932289124,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9995999932289124,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9980000257492065,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9972000122070312,"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/computer-science","display_name":"Computer science","score":0.8065520524978638},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.6658465266227722},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5893648862838745},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5497654676437378},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5307984948158264},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.4805905818939209},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.47898006439208984},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.47529375553131104},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4638488292694092},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.44891342520713806},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.11386042833328247},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08908164501190186}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8065520524978638},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.6658465266227722},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5893648862838745},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5497654676437378},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5307984948158264},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.4805905818939209},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.47898006439208984},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.47529375553131104},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4638488292694092},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.44891342520713806},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.11386042833328247},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08908164501190186},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icra.2019.8794251","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2019.8794251","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"},{"id":"pmh:oai:pub.uni-bielefeld.de:2982084","is_oa":false,"landing_page_url":"https://pub.uni-bielefeld.de/record/2982084","pdf_url":null,"source":{"id":"https://openalex.org/S4306401624","display_name":"Publikationen an der Universit\u00e4t Bielefeld (Universit\u00e4t Bielefeld)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I20121455","host_organization_name":"Bielefeld University","host_organization_lineage":["https://openalex.org/I20121455"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"http://purl.org/coar/resource_type/c_5794"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.5099999904632568,"display_name":"Reduced inequalities"},{"id":"https://metadata.un.org/sdg/16","score":0.47999998927116394,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W69407335","https://openalex.org/W230407900","https://openalex.org/W416845230","https://openalex.org/W1215311137","https://openalex.org/W1501005121","https://openalex.org/W1983705368","https://openalex.org/W2017634428","https://openalex.org/W2018068650","https://openalex.org/W2027020658","https://openalex.org/W2031614119","https://openalex.org/W2069863197","https://openalex.org/W2105101328","https://openalex.org/W2106525823","https://openalex.org/W2106996050","https://openalex.org/W2108965296","https://openalex.org/W2111460811","https://openalex.org/W2132920211","https://openalex.org/W2134125037","https://openalex.org/W2162152641","https://openalex.org/W2166978470","https://openalex.org/W2171671120","https://openalex.org/W2279364907","https://openalex.org/W2336648591","https://openalex.org/W2341313195","https://openalex.org/W2342865424","https://openalex.org/W2343035169","https://openalex.org/W2575261347","https://openalex.org/W2585508806","https://openalex.org/W2609502638","https://openalex.org/W2791310449","https://openalex.org/W2792787846","https://openalex.org/W2894469496","https://openalex.org/W2911964244","https://openalex.org/W2963370140","https://openalex.org/W2998768810","https://openalex.org/W6602766936","https://openalex.org/W6614385810","https://openalex.org/W6654706306","https://openalex.org/W6703944302","https://openalex.org/W7037481325"],"related_works":["https://openalex.org/W2091018038","https://openalex.org/W2225378543","https://openalex.org/W4287122200","https://openalex.org/W2109940557","https://openalex.org/W9839718","https://openalex.org/W3110613631","https://openalex.org/W2040913503","https://openalex.org/W2466832359","https://openalex.org/W3166845860","https://openalex.org/W2742744817"],"abstract_inverted_index":{"Online":[0],"action":[1,117],"classification":[2,163],"is":[3,46],"an":[4,181],"important":[5],"field":[6],"of":[7,15,27,31,108,115,123,140,171],"research,":[8],"enabling":[9,136],"the":[10,22,60,74,77,88,104,113,127,168,212],"particularly":[11,201],"interesting":[12],"application":[13],"scenario":[14],"controlling":[16],"wearable":[17],"devices":[18],"which":[19,130,209],"actively":[20],"support":[21],"user's":[23,55],"motions.":[24,141],"The":[25],"majority":[26],"machine":[28],"learning":[29,111],"applications":[30,204],"real-world":[32],"systems":[33,198],"are":[34,93,157,200],"based":[35],"on":[36,59,211],"pre-trained":[37],"average-user":[38],"models":[39,175,178,189],"without":[40],"any":[41],"personalization.":[42],"Our":[43,184],"long-term":[44],"goal":[45],"to":[47,53,68,83,86,159,194],"provide":[48],"a":[49,70,137,148,154,161],"system":[50,75],"that":[51,152,187],"adapts":[52],"its":[54],"personal":[56],"behavior":[57],"patterns":[58],"fly":[61],"and":[62,76,106,199],"in":[63,112,180],"real-time.":[64],"Ideally,":[65],"we":[66,102,145,166],"want":[67],"initiate":[69],"continuous":[71],"collaboration":[72],"between":[73],"user":[78,174,197],"where":[79],"both":[80],"alternatively":[81],"adjust":[82],"each":[84],"other":[85],"maximize":[87],"system's":[89],"utility.":[90],"Such":[91],"tasks":[92],"not":[94],"feasible":[95],"with":[96,205],"static":[97],"models.":[98],"In":[99],"this":[100,143],"paper,":[101],"investigate":[103],"potential":[105],"benefits":[107],"personalized":[109,177,188],"online":[110,116,182],"task":[114],"classification.":[118],"We":[119],"record":[120],"motion":[121],"sequences":[122],"different":[124],"subjects":[125],"wearing":[126],"Xsens":[128],"bodysuit,":[129],"incorporates":[131],"multiple":[132],"inertial":[133],"measuring":[134],"units,":[135],"fine-grained":[138],"discrimination":[139],"On":[142],"basis,":[144],"first":[146],"perform":[147],"feature":[149],"selection,":[150],"showing":[151],"only":[153,191],"few":[155,192],"sensors":[156],"necessary":[158],"achieve":[160],"high":[162],"performance.":[164],"Subsequently,":[165],"compare":[167],"recognition":[169],"capabilities":[170],"offline":[172],"average":[173,196],"against":[176],"trained":[179],"way.":[183],"experiments":[185],"conclude":[186],"require":[190],"data":[193],"outperform":[195],"valuable":[202],"for":[203],"limited":[206],"computational":[207],"hardware":[208],"rely":[210],"raw":[213],"sensor":[214],"inputs":[215],"only.":[216]},"counts_by_year":[{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
