{"id":"https://openalex.org/W4378174184","doi":"https://doi.org/10.1109/icarsc58346.2023.10129556","title":"Towards a more efficient human-exoskeleton assistance","display_name":"Towards a more efficient human-exoskeleton assistance","publication_year":2023,"publication_date":"2023-04-26","ids":{"openalex":"https://openalex.org/W4378174184","doi":"https://doi.org/10.1109/icarsc58346.2023.10129556"},"language":"en","primary_location":{"id":"doi:10.1109/icarsc58346.2023.10129556","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icarsc58346.2023.10129556","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://repositorium.sdum.uminho.pt/bitstream/1822/83872/1/Towards%20a%20more%20efficient%20human-exoskeleton%20assistance.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101571084","display_name":"Sara Monteiro","orcid":null},"institutions":[{"id":"https://openalex.org/I99682543","display_name":"University of Minho","ror":"https://ror.org/037wpkx04","country_code":"PT","type":"education","lineage":["https://openalex.org/I99682543"]}],"countries":["PT"],"is_corresponding":true,"raw_author_name":"Sara Monteiro","raw_affiliation_strings":["University of Minho,Center for MicroElectroMechanical Systems/LABBELS - Associative Laboratory,Braga/Guimar&#x00E3;es,Portugal"],"affiliations":[{"raw_affiliation_string":"University of Minho,Center for MicroElectroMechanical Systems/LABBELS - Associative Laboratory,Braga/Guimar&#x00E3;es,Portugal","institution_ids":["https://openalex.org/I99682543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100692522","display_name":"Joana Figueiredo","orcid":"https://orcid.org/0000-0001-9547-3051"},"institutions":[{"id":"https://openalex.org/I99682543","display_name":"University of Minho","ror":"https://ror.org/037wpkx04","country_code":"PT","type":"education","lineage":["https://openalex.org/I99682543"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Joana Figueiredo","raw_affiliation_strings":["University of Minho,Center for MicroElectroMechanical Systems/LABBELS - Associative Laboratory,Braga/Guimar&#x00E3;es,Portugal"],"affiliations":[{"raw_affiliation_string":"University of Minho,Center for MicroElectroMechanical Systems/LABBELS - Associative Laboratory,Braga/Guimar&#x00E3;es,Portugal","institution_ids":["https://openalex.org/I99682543"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067484406","display_name":"Cristina P. Santos","orcid":"https://orcid.org/0000-0003-0023-7203"},"institutions":[{"id":"https://openalex.org/I99682543","display_name":"University of Minho","ror":"https://ror.org/037wpkx04","country_code":"PT","type":"education","lineage":["https://openalex.org/I99682543"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Cristina Santos","raw_affiliation_strings":["University of Minho,Center for MicroElectroMechanical Systems/LABBELS - Associative Laboratory,Braga/Guimar&#x00E3;es,Portugal"],"affiliations":[{"raw_affiliation_string":"University of Minho,Center for MicroElectroMechanical Systems/LABBELS - Associative Laboratory,Braga/Guimar&#x00E3;es,Portugal","institution_ids":["https://openalex.org/I99682543"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101571084"],"corresponding_institution_ids":["https://openalex.org/I99682543"],"apc_list":null,"apc_paid":null,"fwci":0.2215,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.46524665,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"181","last_page":"186"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11023","display_name":"Prosthetics and Rehabilitation Robotics","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T11023","display_name":"Prosthetics and Rehabilitation Robotics","score":0.9994999766349792,"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/T10784","display_name":"Muscle activation and electromyography studies","score":0.9900000095367432,"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/T10510","display_name":"Stroke Rehabilitation and Recovery","score":0.9843000173568726,"subfield":{"id":"https://openalex.org/subfields/2742","display_name":"Rehabilitation"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/exoskeleton","display_name":"Exoskeleton","score":0.7884681820869446},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6233137249946594},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.49151477217674255},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47861093282699585},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4354051351547241},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.43311044573783875},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3569650948047638}],"concepts":[{"id":"https://openalex.org/C146549078","wikidata":"https://www.wikidata.org/wiki/Q191944","display_name":"Exoskeleton","level":2,"score":0.7884681820869446},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6233137249946594},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.49151477217674255},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47861093282699585},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4354051351547241},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.43311044573783875},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3569650948047638},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icarsc58346.2023.10129556","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icarsc58346.2023.10129556","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC)","raw_type":"proceedings-article"},{"id":"pmh:oai:repositorium.sdum.uminho.pt:1822/83872","is_oa":true,"landing_page_url":"https://hdl.handle.net/1822/83872","pdf_url":"https://repositorium.sdum.uminho.pt/bitstream/1822/83872/1/Towards%20a%20more%20efficient%20human-exoskeleton%20assistance.pdf","source":{"id":"https://openalex.org/S4306400354","display_name":"Reposit\u00f3riUM (Universidade do Minho)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I99682543","host_organization_name":"University of Minho","host_organization_lineage":["https://openalex.org/I99682543"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":{"id":"pmh:oai:repositorium.sdum.uminho.pt:1822/83872","is_oa":true,"landing_page_url":"https://hdl.handle.net/1822/83872","pdf_url":"https://repositorium.sdum.uminho.pt/bitstream/1822/83872/1/Towards%20a%20more%20efficient%20human-exoskeleton%20assistance.pdf","source":{"id":"https://openalex.org/S4306400354","display_name":"Reposit\u00f3riUM (Universidade do Minho)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I99682543","host_organization_name":"University of Minho","host_organization_lineage":["https://openalex.org/I99682543"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferencePaper"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.5400000214576721,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4378174184.pdf","grobid_xml":"https://content.openalex.org/works/W4378174184.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W238397242","https://openalex.org/W2167325461","https://openalex.org/W2175613144","https://openalex.org/W2345255852","https://openalex.org/W2418388975","https://openalex.org/W2471234362","https://openalex.org/W2700163520","https://openalex.org/W2783214770","https://openalex.org/W2910481531","https://openalex.org/W3090979602","https://openalex.org/W3154613641","https://openalex.org/W3171225628","https://openalex.org/W3203222602","https://openalex.org/W4220933389","https://openalex.org/W4306769732"],"related_works":["https://openalex.org/W2901258812","https://openalex.org/W2887985348","https://openalex.org/W2401700601","https://openalex.org/W2570835373","https://openalex.org/W3198063775","https://openalex.org/W2557545276","https://openalex.org/W4387054232","https://openalex.org/W2590554196","https://openalex.org/W2591464318","https://openalex.org/W2593563634"],"abstract_inverted_index":{"There":[0],"is":[1,59,77,81,98],"evidence":[2],"that":[3,187],"the":[4,34,44,49,63,67,104,140,146,149,153,160,172,175,200],"energy":[5,50],"expended":[6],"by":[7,12,85,129,145],"humans":[8],"can":[9,28],"be":[10,29],"reduced":[11],"wearing":[13],"lower":[14],"limb":[15],"exoskeletons":[16,32],"with":[17],"user-oriented":[18],"assistance":[19,69],"strategies,":[20],"such":[21,42],"as":[22,43,118],"human-in-the-loop":[23],"(HITL)":[24],"controllers.":[25],"HITL":[26],"algorithms":[27],"implemented":[30],"in":[31,54,103,121],"for":[33,70,100,199],"automatic":[35],"and":[36,65,97,112,132,157,159,196,203,223],"online":[37],"optimization":[38],"of":[39,152,174,191],"controller":[40],"parameters,":[41],"torque":[45],"profile,":[46],"depending":[47],"on":[48,126],"expenditure":[51],"(EE)":[52],"measured":[53],"real-time.":[55],"This":[56],"way,":[57],"it":[58],"possible":[60],"to":[61],"minimize":[62],"EE":[64,76,119],"tailor":[66],"exoskeleton":[68],"each":[71],"specific":[72],"user.":[73],"But":[74],"measuring":[75],"not":[78],"trivial.":[79],"It":[80],"more":[82],"commonly":[83],"estimated":[84],"indirect":[86],"calorimetry,":[87],"however,":[88],"this":[89,108],"method":[90],"requires":[91],"expensive":[92],"equipment,":[93],"takes":[94],"too":[95],"long,":[96],"infeasible":[99],"everyday":[101],"use":[102],"real":[105],"world.":[106],"Therefore,":[107],"study":[109],"explores":[110],"machine":[111],"deep":[113],"learning":[114],"regression":[115],"models":[116],"(RMs)":[117],"estimators":[120],"different":[122],"motor":[123],"activities":[124],"based":[125],"data":[127],"acquired":[128],"wearable":[130],"sensors":[131],"anthropometric":[133],"features.":[134],"Several":[135],"inputs":[136],"were":[137],"tested":[138],"but":[139],"best":[141],"performance":[142],"was":[143,180],"achieved":[144],"heart":[147],"rate,":[148],"3-axis":[150],"acceleration":[151],"chest,":[154],"wrist,":[155],"thigh,":[156],"ankle,":[158],"body":[161],"mass":[162],"index.":[163],"Results":[164],"from":[165],"a":[166,211,215,219,224],"public":[167],"dataset":[168],"are":[169],"presented,":[170],"after":[171],"preprocessing":[173],"data.":[176],"The":[177,207],"best-performing":[178],"RM":[179],"an":[181],"exponential":[182],"Gaussian":[183],"process":[184],"regressor":[185],"(GPR),":[186],"obtained":[188],"root-mean-squared":[189],"errors":[190],"0.56":[192],"W/kg,":[193,195],"0.45":[194],"0.60":[197],"W/kg":[198],"standing,":[201],"sitting,":[202],"walking":[204],"activities,":[205],"respectively.":[206],"GPR":[208],"model":[209],"outperformed":[210],"support":[212],"vector":[213],"machine,":[214],"boosted":[216],"decision":[217,221],"tree,":[218,222],"bagged":[220],"convolutional":[225],"neural":[226],"network.":[227]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
