{"id":"https://openalex.org/W4388483353","doi":"https://doi.org/10.1109/icorr58425.2023.10304774","title":"A Method of Detecting Human Movement Intentions in Real Environments","display_name":"A Method of Detecting Human Movement Intentions in Real Environments","publication_year":2023,"publication_date":"2023-09-24","ids":{"openalex":"https://openalex.org/W4388483353","doi":"https://doi.org/10.1109/icorr58425.2023.10304774","pmid":"https://pubmed.ncbi.nlm.nih.gov/37941205"},"language":"en","primary_location":{"id":"doi:10.1109/icorr58425.2023.10304774","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icorr58425.2023.10304774","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Rehabilitation Robotics (ICORR)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5082974075","display_name":"Yixing Liu","orcid":"https://orcid.org/0000-0002-4679-2934"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Yi-Xing Liu","raw_affiliation_strings":["KTH Royal Institute of Technology,KTH MoveAbility Lab,Department of Engineering Mechanics,Stockholm,Sweden","Department of Engineering Mechanics, KTH MoveAbility Lab, KTH Royal Institute of Technology, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"KTH Royal Institute of Technology,KTH MoveAbility Lab,Department of Engineering Mechanics,Stockholm,Sweden","institution_ids":["https://openalex.org/I86987016"]},{"raw_affiliation_string":"Department of Engineering Mechanics, KTH MoveAbility Lab, KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102576950","display_name":"Zhao-Yuan Wan","orcid":null},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Zhao-Yuan Wan","raw_affiliation_strings":["KTH Royal Institute of Technology,KTH MoveAbility Lab,Department of Engineering Mechanics,Stockholm,Sweden","Department of Engineering Mechanics, KTH MoveAbility Lab, KTH Royal Institute of Technology, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"KTH Royal Institute of Technology,KTH MoveAbility Lab,Department of Engineering Mechanics,Stockholm,Sweden","institution_ids":["https://openalex.org/I86987016"]},{"raw_affiliation_string":"Department of Engineering Mechanics, KTH MoveAbility Lab, KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017792989","display_name":"Ruoli Wang","orcid":"https://orcid.org/0000-0002-2232-5258"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Ruoli Wang","raw_affiliation_strings":["KTH Royal Institute of Technology,KTH MoveAbility Lab,Department of Engineering Mechanics,Stockholm,Sweden","Department of Engineering Mechanics, KTH MoveAbility Lab, KTH Royal Institute of Technology, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"KTH Royal Institute of Technology,KTH MoveAbility Lab,Department of Engineering Mechanics,Stockholm,Sweden","institution_ids":["https://openalex.org/I86987016"]},{"raw_affiliation_string":"Department of Engineering Mechanics, KTH MoveAbility Lab, KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069075107","display_name":"Elena M. Gutierrez-Farewik","orcid":"https://orcid.org/0000-0001-5417-5939"},"institutions":[{"id":"https://openalex.org/I28166907","display_name":"Karolinska Institutet","ror":"https://ror.org/056d84691","country_code":"SE","type":"education","lineage":["https://openalex.org/I28166907"]},{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Elena M. Gutierrez-Farewik","raw_affiliation_strings":["KTH Royal Institute of Technology,KTH MoveAbility Lab,Department of Engineering Mechanics,Stockholm,Sweden","Department of Engineering Mechanics, KTH MoveAbility Lab, KTH Royal Institute of Technology, Stockholm, Sweden","Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"KTH Royal Institute of Technology,KTH MoveAbility Lab,Department of Engineering Mechanics,Stockholm,Sweden","institution_ids":["https://openalex.org/I86987016"]},{"raw_affiliation_string":"Department of Engineering Mechanics, KTH MoveAbility Lab, KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]},{"raw_affiliation_string":"Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden","institution_ids":["https://openalex.org/I28166907"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5082974075"],"corresponding_institution_ids":["https://openalex.org/I86987016"],"apc_list":null,"apc_paid":null,"fwci":0.225,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.49124657,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"2023","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11023","display_name":"Prosthetics and Rehabilitation Robotics","score":0.9986000061035156,"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":0.9986000061035156,"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":0.9857000112533569,"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"}},{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.9825000166893005,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.7902332544326782},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7305818796157837},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7263731360435486},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6836457848548889},{"id":"https://openalex.org/keywords/stairs","display_name":"Stairs","score":0.544588029384613},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5277909636497498},{"id":"https://openalex.org/keywords/movement","display_name":"Movement (music)","score":0.5010907649993896},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.49633103609085083},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4768741726875305},{"id":"https://openalex.org/keywords/gaze","display_name":"Gaze","score":0.44542399048805237},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17098113894462585}],"concepts":[{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.7902332544326782},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7305818796157837},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7263731360435486},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6836457848548889},{"id":"https://openalex.org/C2777295749","wikidata":"https://www.wikidata.org/wiki/Q12511","display_name":"Stairs","level":2,"score":0.544588029384613},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5277909636497498},{"id":"https://openalex.org/C2780226923","wikidata":"https://www.wikidata.org/wiki/Q929848","display_name":"Movement (music)","level":2,"score":0.5010907649993896},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.49633103609085083},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4768741726875305},{"id":"https://openalex.org/C2779916870","wikidata":"https://www.wikidata.org/wiki/Q14467155","display_name":"Gaze","level":2,"score":0.44542399048805237},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17098113894462585},{"id":"https://openalex.org/C107038049","wikidata":"https://www.wikidata.org/wiki/Q35986","display_name":"Aesthetics","level":1,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","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}],"mesh":[{"descriptor_ui":"D000067190","descriptor_name":"Exoskeleton Device","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000067190","descriptor_name":"Exoskeleton Device","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000067190","descriptor_name":"Exoskeleton Device","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008124","descriptor_name":"Locomotion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008124","descriptor_name":"Locomotion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008124","descriptor_name":"Locomotion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016138","descriptor_name":"Walking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016138","descriptor_name":"Walking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016138","descriptor_name":"Walking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D033182","descriptor_name":"Intention","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D033182","descriptor_name":"Intention","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D033182","descriptor_name":"Intention","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/icorr58425.2023.10304774","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icorr58425.2023.10304774","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Rehabilitation Robotics (ICORR)","raw_type":"proceedings-article"},{"id":"pmid:37941205","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37941205","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE ... International Conference on Rehabilitation Robotics : [proceedings]","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5325198173","display_name":null,"funder_award_id":"18200,22083,23048","funder_id":"https://openalex.org/F4320311224","funder_display_name":"Stiftelsen Promobilia"}],"funders":[{"id":"https://openalex.org/F4320311224","display_name":"Stiftelsen Promobilia","ror":"https://ror.org/00fb4ms10"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1914429872","https://openalex.org/W1967975297","https://openalex.org/W2007133558","https://openalex.org/W2034922363","https://openalex.org/W2142114107","https://openalex.org/W2167221577","https://openalex.org/W2614620303","https://openalex.org/W2770201929","https://openalex.org/W2890548543","https://openalex.org/W2965569660","https://openalex.org/W2979374980","https://openalex.org/W3027258250","https://openalex.org/W3134792577","https://openalex.org/W3171027904","https://openalex.org/W3175583138","https://openalex.org/W3183839786","https://openalex.org/W3208819429","https://openalex.org/W3214503831","https://openalex.org/W4224224193","https://openalex.org/W4304777328","https://openalex.org/W6746266979"],"related_works":["https://openalex.org/W2570308965","https://openalex.org/W2049247410","https://openalex.org/W2318265355","https://openalex.org/W1486724195","https://openalex.org/W1976557033","https://openalex.org/W560737017","https://openalex.org/W2028191919","https://openalex.org/W4200464353","https://openalex.org/W2387566434","https://openalex.org/W2785359964"],"abstract_inverted_index":{"Accurate":[0],"and":[1,40,84,97,138,148,171,199],"timely":[2],"movement":[3,17,31,59,101,136],"intention":[4,32],"detection":[5,33],"can":[6],"facilitate":[7],"exoskeleton":[8,44],"control":[9],"during":[10],"transitions":[11],"between":[12],"different":[13,105],"locomotion":[14],"modes.":[15],"Detecting":[16],"intentions":[18,60,102,137],"in":[19,49,61,154],"real":[20,62],"environments":[21],"remains":[22],"a":[23,54,74,123],"challenge":[24],"due":[25],"to":[26,99,119,157,180],"unavoidable":[27],"environmental":[28],"uncertainties.":[29],"False":[30],"may":[34],"also":[35],"induce":[36],"risks":[37],"of":[38,69,161,184,191],"falling":[39],"general":[41],"danger":[42],"for":[43,56],"users.":[45],"To":[46],"this":[47,50],"end,":[48],"study,":[51],"we":[52],"developed":[53],"method":[55,66],"detecting":[57],"human":[58],"environments.":[63],"The":[64,127,174],"proposed":[65,186],"is":[67],"capable":[68],"online":[70],"self-correcting":[71],"by":[72],"implementing":[73],"decision":[75,128,200],"fusion":[76,129,198,201],"layer.":[77],"Gaze":[78],"data":[79,177,206],"from":[80,108],"an":[81],"eye":[82,115,146],"tracker":[83,116,147],"inertial":[85],"measurement":[86],"unit":[87],"(IMU)":[88],"signals":[89,209],"were":[90,117,178,202],"fused":[91],"at":[92],"the":[93,109,114,134,145,155,159,182,185,211],"feature":[94,197],"extraction":[95],"level":[96,162],"used":[98,118,179],"predict":[100],"using":[103,122],"2":[104],"methods.":[106],"Images":[107],"scene":[110],"camera":[111],"embedded":[112],"on":[113,133],"identify":[120],"terrains":[121],"convolutional":[124],"neural":[125],"network.":[126],"was":[130,193],"made":[131],"based":[132],"predicted":[135],"identified":[139],"terrains.":[140],"Four":[141],"able-bodied":[142],"participants":[143],"wearing":[144],"7":[149],"IMU":[150,208],"sensors":[151],"took":[152],"part":[153],"experiments":[156],"complete":[158],"tasks":[160],"ground":[163],"walking,":[164],"ramp":[165,167],"ascending,":[166,170],"descending,":[168],"stairs":[169],"stair":[172],"descending.":[173],"recorded":[175],"experimental":[176],"test":[181],"feasibility":[183],"method.":[187],"An":[188],"overall":[189],"accuracy":[190],"93.4%":[192],"achieved":[194],"when":[195],"both":[196],"used.":[203],"Fusing":[204],"gaze":[205],"with":[207],"improved":[210],"prediction":[212],"accuracy.":[213]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}