{"id":"https://openalex.org/W7162201165","doi":"https://doi.org/10.1016/j.bspc.2026.110661","title":"A pioneering channel-pair symmetry descriptor and meta-fusion architecture for robust semg gesture recognition","display_name":"A pioneering channel-pair symmetry descriptor and meta-fusion architecture for robust semg gesture recognition","publication_year":2026,"publication_date":"2026-05-23","ids":{"openalex":"https://openalex.org/W7162201165","doi":"https://doi.org/10.1016/j.bspc.2026.110661"},"language":"en","primary_location":{"id":"doi:10.1016/j.bspc.2026.110661","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.bspc.2026.110661","pdf_url":null,"source":{"id":"https://openalex.org/S8427965","display_name":"Biomedical Signal Processing and Control","issn_l":"1746-8094","issn":["1746-8094","1746-8108"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Biomedical Signal Processing and Control","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/A5063491249","display_name":"Hazret Tekin","orcid":"https://orcid.org/0000-0002-9379-721X"},"institutions":[{"id":"https://openalex.org/I4210089766","display_name":"Technical and Vocational University","ror":"https://ror.org/00854zy02","country_code":"IR","type":"education","lineage":["https://openalex.org/I4210089766"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Hazret Tekin","raw_affiliation_strings":["\u015e\u0131rnak University, Vocational School of Technical Sciences, \u015e\u0131rnak, T\u00fcrkiye"],"raw_orcid":"https://orcid.org/0000-0002-9379-721X","affiliations":[{"raw_affiliation_string":"\u015e\u0131rnak University, Vocational School of Technical Sciences, \u015e\u0131rnak, T\u00fcrkiye","institution_ids":["https://openalex.org/I4210089766"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5063491249"],"corresponding_institution_ids":["https://openalex.org/I4210089766"],"apc_list":{"value":2420,"currency":"USD","value_usd":2420},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.89503649,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"124","issue":null,"first_page":"110661","last_page":"110661"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.991599977016449,"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":0.991599977016449,"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/T11023","display_name":"Prosthetics and Rehabilitation Robotics","score":0.001500000013038516,"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/T10338","display_name":"Advanced Sensor and Energy Harvesting Materials","score":0.00139999995008111,"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/margin","display_name":"Margin (machine learning)","score":0.5788999795913696},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.5758000016212463},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.574400007724762},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5546000003814697},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.5217999815940857},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4648999869823456},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.4634999930858612},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4562000036239624},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4268999993801117}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7943999767303467},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.5788999795913696},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.5758000016212463},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.574400007724762},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5546000003814697},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.5217999815940857},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5013999938964844},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4648999869823456},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.4634999930858612},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4562000036239624},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4268999993801117},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.3978999853134155},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.37220001220703125},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.36970001459121704},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.364300012588501},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.3271999955177307},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3240000009536743},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.3206000030040741},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.3181999921798706},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.30649998784065247},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.3025999963283539},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2971000075340271},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.2946999967098236},{"id":"https://openalex.org/C111442797","wikidata":"https://www.wikidata.org/wiki/Q7291446","display_name":"Rand index","level":3,"score":0.2874000072479248},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.2856999933719635},{"id":"https://openalex.org/C70710897","wikidata":"https://www.wikidata.org/wiki/Q680081","display_name":"Separable space","level":2,"score":0.275299996137619},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.26109999418258667},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.26019999384880066},{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.2549999952316284}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.bspc.2026.110661","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.bspc.2026.110661","pdf_url":null,"source":{"id":"https://openalex.org/S8427965","display_name":"Biomedical Signal Processing and Control","issn_l":"1746-8094","issn":["1746-8094","1746-8108"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Biomedical Signal Processing and Control","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5744491219520569,"id":"https://metadata.un.org/sdg/16"},{"display_name":"Reduced inequalities","score":0.40065622329711914,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W2026987328","https://openalex.org/W2082480549","https://openalex.org/W2169931829","https://openalex.org/W2599550197","https://openalex.org/W2607455948","https://openalex.org/W2762706434","https://openalex.org/W2801448182","https://openalex.org/W2920249639","https://openalex.org/W2969811190","https://openalex.org/W2997516327","https://openalex.org/W3032409589","https://openalex.org/W3039744314","https://openalex.org/W3084684600","https://openalex.org/W3092482093","https://openalex.org/W3129892860","https://openalex.org/W3167732198","https://openalex.org/W3176638258","https://openalex.org/W3185201038","https://openalex.org/W4205282848","https://openalex.org/W4206447179","https://openalex.org/W4206691275","https://openalex.org/W4226061654","https://openalex.org/W4313546912","https://openalex.org/W4385066438","https://openalex.org/W4386827701","https://openalex.org/W4387398547","https://openalex.org/W4388430279","https://openalex.org/W4389884763","https://openalex.org/W4391804784","https://openalex.org/W4393387704","https://openalex.org/W4399335421","https://openalex.org/W4399688524","https://openalex.org/W4401553176","https://openalex.org/W4403826674","https://openalex.org/W4404028994","https://openalex.org/W4406559785","https://openalex.org/W4412191004"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-05-25T06:09:02.162499","created_date":"2026-05-24T00:00:00"}
