{"id":"https://openalex.org/W3108832127","doi":"https://doi.org/10.1080/01691864.2020.1844797","title":"Towards physical interaction-based sequential mobility assistance using latent generative model of movement state","display_name":"Towards physical interaction-based sequential mobility assistance using latent generative model of movement state","publication_year":2020,"publication_date":"2020-11-19","ids":{"openalex":"https://openalex.org/W3108832127","doi":"https://doi.org/10.1080/01691864.2020.1844797","mag":"3108832127"},"language":"en","primary_location":{"id":"doi:10.1080/01691864.2020.1844797","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01691864.2020.1844797","pdf_url":null,"source":{"id":"https://openalex.org/S192584203","display_name":"Advanced Robotics","issn_l":"0169-1864","issn":["0169-1864","1568-5535"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advanced Robotics","raw_type":"journal-article"},"type":"article","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/A5002744621","display_name":"Shunki Itadera","orcid":"https://orcid.org/0000-0001-9499-9190"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Shunki Itadera","raw_affiliation_strings":["Department of Micro-Nano Mechanical Science and Engineering, Nagoya University, Nagoya, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Micro-Nano Mechanical Science and Engineering, Nagoya University, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051304187","display_name":"Taisuke Kobayashi","orcid":"https://orcid.org/0000-0002-3760-249X"},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Taisuke Kobayashi","raw_affiliation_strings":["Division of Information Science, Nara Institute of Science and Technology, Nara, Japan"],"affiliations":[{"raw_affiliation_string":"Division of Information Science, Nara Institute of Science and Technology, Nara, Japan","institution_ids":["https://openalex.org/I75917431"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103273860","display_name":"Jun Nakanishi","orcid":"https://orcid.org/0000-0001-9026-6440"},"institutions":[{"id":"https://openalex.org/I96636082","display_name":"Meijo University","ror":"https://ror.org/04h42fc75","country_code":"JP","type":"education","lineage":["https://openalex.org/I96636082"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jun Nakanishi","raw_affiliation_strings":["Department of Mechanical Engineering, Meijo University, Nagoya, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Meijo University, Nagoya, Japan","institution_ids":["https://openalex.org/I96636082"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089806952","display_name":"Tadayoshi Aoyama","orcid":"https://orcid.org/0000-0001-7860-0725"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tadayoshi Aoyama","raw_affiliation_strings":["Department of Micro-Nano Mechanical Science and Engineering, Nagoya University, Nagoya, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Micro-Nano Mechanical Science and Engineering, Nagoya University, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067104092","display_name":"Yasuhisa Hasegawa","orcid":"https://orcid.org/0000-0001-9917-098X"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasuhisa Hasegawa","raw_affiliation_strings":["Department of Micro-Nano Mechanical Science and Engineering, Nagoya University, Nagoya, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Micro-Nano Mechanical Science and Engineering, Nagoya University, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5002744621"],"corresponding_institution_ids":["https://openalex.org/I60134161"],"apc_list":null,"apc_paid":null,"fwci":0.6868,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.72855718,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"35","issue":"1","first_page":"64","last_page":"79"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998000264167786,"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/T10812","display_name":"Human Pose and Action Recognition","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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.996399998664856,"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/T10709","display_name":"Social Robot Interaction and HRI","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.7816527485847473},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6440458297729492},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5765058994293213},{"id":"https://openalex.org/keywords/movement","display_name":"Movement (music)","score":0.5695842504501343},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.5610661506652832},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4935375452041626},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.48471736907958984},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.4433031678199768},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.43887466192245483},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.35348206758499146},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.17535513639450073}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7816527485847473},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6440458297729492},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5765058994293213},{"id":"https://openalex.org/C2780226923","wikidata":"https://www.wikidata.org/wiki/Q929848","display_name":"Movement (music)","level":2,"score":0.5695842504501343},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.5610661506652832},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4935375452041626},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.48471736907958984},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.4433031678199768},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.43887466192245483},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.35348206758499146},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.17535513639450073},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C107038049","wikidata":"https://www.wikidata.org/wiki/Q35986","display_name":"Aesthetics","level":1,"score":0.0},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/01691864.2020.1844797","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01691864.2020.1844797","pdf_url":null,"source":{"id":"https://openalex.org/S192584203","display_name":"Advanced Robotics","issn_l":"0169-1864","issn":["0169-1864","1568-5535"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advanced Robotics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W24089286","https://openalex.org/W319272798","https://openalex.org/W1536792773","https://openalex.org/W1563853789","https://openalex.org/W1590109321","https://openalex.org/W1959608418","https://openalex.org/W1991274481","https://openalex.org/W2018759986","https://openalex.org/W2019660985","https://openalex.org/W2034328688","https://openalex.org/W2047851005","https://openalex.org/W2055724925","https://openalex.org/W2064675550","https://openalex.org/W2089764380","https://openalex.org/W2105101328","https://openalex.org/W2108501770","https://openalex.org/W2126579184","https://openalex.org/W2129586496","https://openalex.org/W2138233825","https://openalex.org/W2138604784","https://openalex.org/W2138728129","https://openalex.org/W2148564844","https://openalex.org/W2175613144","https://openalex.org/W2291804674","https://openalex.org/W2347088013","https://openalex.org/W2538654510","https://openalex.org/W2569181534","https://openalex.org/W2730106296","https://openalex.org/W2753738274","https://openalex.org/W2773119327","https://openalex.org/W2802441648","https://openalex.org/W2884911787","https://openalex.org/W2889326414","https://openalex.org/W2943579880","https://openalex.org/W2949416428","https://openalex.org/W2963221612","https://openalex.org/W2964121744","https://openalex.org/W2972491974","https://openalex.org/W2980373904","https://openalex.org/W4249279051","https://openalex.org/W4288853150","https://openalex.org/W6631190155"],"related_works":["https://openalex.org/W3044458868","https://openalex.org/W2527569769","https://openalex.org/W2788487394","https://openalex.org/W2891962740","https://openalex.org/W4362514634","https://openalex.org/W4312919052","https://openalex.org/W4299531873","https://openalex.org/W4229455812","https://openalex.org/W2798871301","https://openalex.org/W2964208960"],"abstract_inverted_index":{"In":[0,168],"this":[1,19],"paper,":[2],"we":[3,50,91,180],"address":[4],"sequential":[5],"mobility":[6],"assistance":[7],"for":[8],"daily":[9,33],"elderly":[10],"care":[11],"through":[12,61],"physical":[13,30,59],"human\u2013robot":[14],"interaction.":[15],"The":[16],"goal":[17],"of":[18,96,128,131,153,174,176,185,188],"work":[20],"is":[21,137,141,151],"to":[22,28,56,69,122,170],"develop":[23],"a":[24,44,80,85,108],"robotic":[25,48],"assistive":[26],"system":[27],"provide":[29],"support":[31,47,60],"in":[32,75,107,143],"life":[34],"such":[35,132,158],"as":[36,159,193,195],"movement":[37,73,100,125,190,197],"transition,":[38],"e.g.":[39],"sit-to-stand":[40],"and":[41],"walking.":[42],"Using":[43,79],"mobile":[45],"human":[46],"platform,":[49],"propose":[51],"an":[52,62,76,133],"unsupervised":[53,134],"learning-based":[54],"approach":[55,136],"providing":[57],"desirable":[58],"adaptive":[63],"impedance":[64,116],"parameter":[65],"selection":[66],"strategy":[67],"according":[68,121],"the":[70,94,97,104,114,123,129,144,164,172,182],"recognized":[71],"user's":[72,98],"state":[74,101,191],"online":[77,189],"manner.":[78],"latent":[81,111,166],"generative":[82],"model":[83],"with":[84],"long":[86],"short-term":[87],"memory-based":[88],"variational":[89],"autoencoder,":[90],"first":[92],"estimate":[93],"probability":[95],"current":[99],"based":[102,162],"on":[103,163],"sensory":[105],"information":[106],"low":[109],"dimensional":[110],"space.":[112,167],"Then,":[113],"desired":[115],"parameters":[117],"are":[118],"selected":[119],"adaptively":[120],"estimated":[124],"state.":[126],"One":[127],"benefits":[130],"learning":[135],"that":[138],"no":[139],"labeling":[140],"necessary":[142],"training":[145],"phase.":[146],"Furthermore,":[147],"our":[148,177],"proposed":[149,178],"framework":[150],"capable":[152],"detecting":[154],"possible":[155],"novel":[156,196],"states":[157],"falling":[160],"over":[161],"obtained":[165],"order":[169],"demonstrate":[171],"proof":[173],"concept":[175],"approach,":[179],"present":[181],"experimental":[183],"results":[184],"performance":[186],"evaluations":[187],"recognition":[192],"well":[194],"detection.":[198]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}