{"id":"https://openalex.org/W7203748388","doi":"https://doi.org/10.1109/icccr69988.2026.11642722","title":"Calibration-Free Lower Limb Activity Recognition via Streaming Feature Calibration","display_name":"Calibration-Free Lower Limb Activity Recognition via Streaming Feature Calibration","publication_year":2026,"publication_date":"2026-05-01","ids":{"openalex":"https://openalex.org/W7203748388","doi":"https://doi.org/10.1109/icccr69988.2026.11642722"},"language":"en","primary_location":{"id":"doi:10.1109/icccr69988.2026.11642722","doi":"https://doi.org/10.1109/icccr69988.2026.11642722","is_oa":true,"landing_page_url":"https://doi.org/10.1109/icccr69988.2026.11642722","pdf_url":null,"source":{"id":"https://openalex.org/S7407085927","display_name":"International Conference on Computer, Control and Robotics (ICCCR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 6th International Conference on Computer, Control and Robotics (ICCCR)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/icccr69988.2026.11642722","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050039042","display_name":"Qiuping Bi","orcid":"https://orcid.org/0000-0002-0112-3139","observed_orcids":["https://orcid.org/0000-0002-0112-3139"]},"institutions":[{"id":"https://openalex.org/I4405280838","display_name":"Liaoning Communication University","ror":"https://ror.org/03gdme408","country_code":"CN","type":"education","lineage":["https://openalex.org/I4405280838"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiuping Bi","raw_affiliation_strings":["College of Communication, Liaoning Communication University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Communication, Liaoning Communication University","institution_ids":["https://openalex.org/I4405280838"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5151619565","display_name":"Cheng Shen","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I125904092","display_name":"Shenyang Aerospace University","ror":"https://ror.org/02423gm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I125904092"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Shen","raw_affiliation_strings":["School of Artificial Intelligence, Shenyang Aerospace University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Shenyang Aerospace University","institution_ids":["https://openalex.org/I125904092"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139979664","display_name":"Zhongyi Li","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165339","display_name":"Ningbo Institute of Industrial Technology","ror":"https://ror.org/05nqg3g04","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165339"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongyi Li","raw_affiliation_strings":["Ningbo Institute of Materials Technology & Engineering, Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ningbo Institute of Materials Technology & Engineering, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210165339"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5147495653","display_name":"Hao Zheng","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Zheng","raw_affiliation_strings":["Hangzhou Innovation Institute, Beihang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou Innovation Institute, Beihang University","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"109","last_page":"113"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.9951000213623047,"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/T10784","display_name":"Muscle activation and electromyography studies","score":0.9951000213623047,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.0012000000569969416,"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/T11023","display_name":"Prosthetics and Rehabilitation Robotics","score":0.00039999998989515007,"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/surface-electromyography","display_name":"surface electromyography","score":0.9900000095367432},{"id":"https://openalex.org/keywords/domain-shift","display_name":"domain shift","score":0.7459999918937683},{"id":"https://openalex.org/keywords/muscle-fatigue","display_name":"muscle fatigue","score":0.6100000143051147},{"id":"https://openalex.org/keywords/inter-individual-variability","display_name":"interindividual variability","score":0.9829999804496765},{"id":"https://openalex.org/keywords/exoskeleton-control","display_name":"exoskeleton control","score":0.7739999890327454},{"id":"https://openalex.org/keywords/exponentially-weighted-moving-average","display_name":"exponential moving average","score":0.6970000267028809},{"id":"https://openalex.org/keywords/data-leakage","display_name":"data leakage","score":0.6100000143051147},{"id":"https://openalex.org/keywords/temporal-drift","display_name":"temporal drift","score":0.4779999852180481}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6323000192642212},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5343000292778015},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.5315999984741211},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5297999978065491},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.4830999970436096},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47769999504089355},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4756999909877777},{"id":"https://openalex.org/C2989316616","wikidata":"https://www.wikidata.org/wiki/Q6027402","display_name":"Lower limb","level":2,"score":0.4246000051498413},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.27959999442100525},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.24619999527931213}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccr69988.2026.11642722","doi":"https://doi.org/10.1109/icccr69988.2026.11642722","is_oa":true,"landing_page_url":"https://doi.org/10.1109/icccr69988.2026.11642722","pdf_url":null,"source":{"id":"https://openalex.org/S7407085927","display_name":"International Conference on Computer, Control and Robotics (ICCCR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 6th International Conference on Computer, Control and Robotics (ICCCR)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1109/icccr69988.2026.11642722","doi":"https://doi.org/10.1109/icccr69988.2026.11642722","is_oa":true,"landing_page_url":"https://doi.org/10.1109/icccr69988.2026.11642722","pdf_url":null,"source":{"id":"https://openalex.org/S7407085927","display_name":"International Conference on Computer, Control and Robotics (ICCCR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 6th International Conference on Computer, Control and Robotics (ICCCR)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.4000000059604645,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2054326469","https://openalex.org/W2119008936","https://openalex.org/W2167262695","https://openalex.org/W2962879438","https://openalex.org/W4280532335","https://openalex.org/W4390204081","https://openalex.org/W4393371699","https://openalex.org/W4400602187","https://openalex.org/W4404317040","https://openalex.org/W4411270142","https://openalex.org/W4412404311","https://openalex.org/W4417201794"],"related_works":["https://openalex.org/W7140295888","https://openalex.org/W3040966486","https://openalex.org/W3097945102","https://openalex.org/W7037308854","https://openalex.org/W4237865726","https://openalex.org/W7213412947","https://openalex.org/W3127566307","https://openalex.org/W2968950625","https://openalex.org/W6986436490","https://openalex.org/W7062444611"],"abstract_inverted_index":{"Surface":[0],"electromyography":[1],"(sEMG)":[2],"signals":[3],"pattern":[4],"recognition":[5],"is":[6,16],"essential":[7],"for":[8,66],"lower-limb":[9,112],"exoskeleton":[10],"control,":[11],"yet":[12],"its":[13],"long-term":[14],"reliability":[15],"severely":[17],"compromised":[18],"by":[19],"dynamic":[20],"domain":[21,98],"shifts":[22],"such":[23],"as":[24],"muscle":[25],"fatigue":[26],"and":[27,52,125],"inter-subject":[28],"variability.":[29],"Compounding":[30],"this":[31,102],"issue,":[32],"conventional":[33],"static":[34,123],"models":[35,124],"often":[36],"report":[37],"inflated":[38],"accuracies":[39],"due":[40],"to":[41,81,96,129],"data":[42],"leakage":[43],"in":[44,90],"randomized":[45],"cross-validation,":[46],"failing":[47],"critically":[48],"under":[49],"strict":[50],"chronological":[51,106],"crossdomain":[53],"testing.":[54],"This":[55],"paper":[56],"introduces":[57],"Streaming":[58],"Feature":[59],"Calibration":[60],"via":[61],"Active":[62],"State":[63],"tracking":[64],"(SFC-AS)":[65],"lower":[67],"limb":[68],"activity":[69],"recognition.":[70],"Instead":[71],"of":[72,87,122],"updating":[73],"classifier":[74],"weights,":[75],"SFC-AS":[76,117],"employs":[77],"exponential":[78],"moving":[79],"averages":[80],"track":[82],"the":[83,119],"continuous":[84],"manifold":[85],"evolution":[86],"sEMG":[88],"features":[89],"real":[91],"time,":[92],"dynamically":[93],"calibrating":[94],"inputs":[95],"mitigate":[97],"discrepancies.":[99],"We":[100],"validated":[101],"framework":[103],"using":[104],"a":[105],"evaluation":[107],"protocol":[108],"on":[109],"multi-day,":[110],"multi-subject":[111],"data.":[113],"Results":[114],"reveal":[115],"that":[116],"eliminates":[118],"performance":[120],"illusions":[121],"demonstrates":[126],"strong":[127],"resilience":[128],"temporal":[130],"drift.":[131]},"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2026-08-20T00:00:00"}
