{"id":"https://openalex.org/W3090740166","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207492","title":"A-mode Ultrasound Driven Sensor Fusion for Hand Gesture Recognition","display_name":"A-mode Ultrasound Driven Sensor Fusion for Hand Gesture Recognition","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3090740166","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207492","mag":"3090740166"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn48605.2020.9207492","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207492","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-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/A5011214367","display_name":"Peter Boyd","orcid":"https://orcid.org/0000-0001-5448-2592"},"institutions":[{"id":"https://openalex.org/I63072094","display_name":"University of Portsmouth","ror":"https://ror.org/03ykbk197","country_code":"GB","type":"education","lineage":["https://openalex.org/I63072094"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Peter Boyd","raw_affiliation_strings":["School of Computing, University of Portsmouth, Portsmouth, UK"],"affiliations":[{"raw_affiliation_string":"School of Computing, University of Portsmouth, Portsmouth, UK","institution_ids":["https://openalex.org/I63072094"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085867312","display_name":"Honghai Liu","orcid":"https://orcid.org/0000-0002-2880-4698"},"institutions":[{"id":"https://openalex.org/I63072094","display_name":"University of Portsmouth","ror":"https://ror.org/03ykbk197","country_code":"GB","type":"education","lineage":["https://openalex.org/I63072094"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Honghai Liu","raw_affiliation_strings":["School of Computing, University of Portsmouth, Portsmouth, UK"],"affiliations":[{"raw_affiliation_string":"School of Computing, University of Portsmouth, Portsmouth, UK","institution_ids":["https://openalex.org/I63072094"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5011214367"],"corresponding_institution_ids":["https://openalex.org/I63072094"],"apc_list":null,"apc_paid":null,"fwci":0.7725,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.68581512,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":1.0,"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":1.0,"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10338","display_name":"Advanced Sensor and Energy Harvesting Materials","score":0.9976000189781189,"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/modality","display_name":"Modality (human\u2013computer interaction)","score":0.7561228275299072},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.699615478515625},{"id":"https://openalex.org/keywords/electromyography","display_name":"Electromyography","score":0.6052019596099854},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.5162627696990967},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.506585955619812},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.45586350560188293},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.43514353036880493},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.43486320972442627},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4134420156478882},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.359374463558197},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.321651816368103},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.18524029850959778},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1193988025188446}],"concepts":[{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.7561228275299072},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.699615478515625},{"id":"https://openalex.org/C2777515770","wikidata":"https://www.wikidata.org/wiki/Q507369","display_name":"Electromyography","level":2,"score":0.6052019596099854},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.5162627696990967},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.506585955619812},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.45586350560188293},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.43514353036880493},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.43486320972442627},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4134420156478882},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.359374463558197},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.321651816368103},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.18524029850959778},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1193988025188446},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn48605.2020.9207492","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207492","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Responsible consumption and production","id":"https://metadata.un.org/sdg/12","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W183521978","https://openalex.org/W598735987","https://openalex.org/W1968781294","https://openalex.org/W1969563952","https://openalex.org/W1974390172","https://openalex.org/W1975897895","https://openalex.org/W1978073918","https://openalex.org/W1978262580","https://openalex.org/W1981255726","https://openalex.org/W1981856944","https://openalex.org/W1984697170","https://openalex.org/W1985493107","https://openalex.org/W2002499457","https://openalex.org/W2008276678","https://openalex.org/W2031575324","https://openalex.org/W2046534244","https://openalex.org/W2071959860","https://openalex.org/W2091361637","https://openalex.org/W2106526692","https://openalex.org/W2117435472","https://openalex.org/W2123167643","https://openalex.org/W2132855977","https://openalex.org/W2134408600","https://openalex.org/W2138967075","https://openalex.org/W2139737001","https://openalex.org/W2140230496","https://openalex.org/W2144347116","https://openalex.org/W2148270081","https://openalex.org/W2152622025","https://openalex.org/W2165619603","https://openalex.org/W2171188488","https://openalex.org/W2186425670","https://openalex.org/W2237534788","https://openalex.org/W2246027075","https://openalex.org/W2480845676","https://openalex.org/W2488164446","https://openalex.org/W2545806245","https://openalex.org/W2614843066","https://openalex.org/W2743032756","https://openalex.org/W2767053645","https://openalex.org/W2790915415","https://openalex.org/W2919317691","https://openalex.org/W2921263890","https://openalex.org/W2954888168","https://openalex.org/W6607506862","https://openalex.org/W6650798806","https://openalex.org/W6681121965","https://openalex.org/W6691017539","https://openalex.org/W6745914678","https://openalex.org/W6748848496"],"related_works":["https://openalex.org/W2066003895","https://openalex.org/W2902873204","https://openalex.org/W2185750513","https://openalex.org/W4312416068","https://openalex.org/W3147379364","https://openalex.org/W2010878661","https://openalex.org/W2026258298","https://openalex.org/W3204639664","https://openalex.org/W2970836791","https://openalex.org/W2805039731"],"abstract_inverted_index":{"Traditionally,":[0],"Surface":[1],"electromyography":[2],"(sEMG)":[3],"has":[4,32,104],"been":[5],"the":[6],"predominant":[7],"method":[8],"of":[9,44,55],"sensing":[10,111,127,137,146],"muscle":[11],"activity":[12],"in":[13],"order":[14],"to":[15,34,49,71,85,94,113,116,140,154],"control":[16,22,46,98,158],"myoelectric":[17],"prosthesis.":[18],"While":[19],"many":[20],"prosthesis":[21],"schemes":[23],"used":[24],"simple":[25],"direct":[26],"control,":[27],"an":[28,52],"ever":[29],"increasing":[30,106],"focus":[31],"moved":[33],"pattern":[35,58],"recognition":[36,59],"based":[37,60,110,126,136,145,157],"approaches":[38,61],"which":[39,80],"promise":[40],"a":[41,132],"greater":[42],"degree":[43],"natural":[45],"such":[47],"as":[48,131],"further":[50],"improve":[51],"amputees":[53],"quality":[54],"life.":[56],"Although":[57],"have":[62,67,89],"shown":[63],"great":[64],"promise,":[65],"they":[66],"innate":[68],"limitations":[69],"due":[70,112],"changes":[72],"that":[73,103,149],"may":[74,150],"occur":[75],"during":[76,147],"long":[77],"term":[78],"use":[79],"prevent":[81],"clinical":[82],"acceptance.":[83],"Due":[84],"these":[86],"limitations,":[87],"researchers":[88],"increasingly":[90],"investigated":[91],"alternative":[92],"modalities":[93],"provide":[95],"more":[96],"robust":[97],"schemes.":[99,159],"A":[100],"particular":[101],"modality":[102],"seen":[105],"interest":[107],"is":[108,128],"ultrasound":[109,125],"its":[114],"capability":[115],"better":[117],"understand":[118],"deep":[119],"tissue":[120],"activity.Within":[121],"this":[122],"research,":[123],"A-mode":[124],"proposed":[129],"not":[130],"replacement":[133],"for":[134],"sEMG":[135,144],"but":[138],"instead":[139],"augment":[141],"and":[142],"drive":[143],"activities":[148],"otherwise":[151],"prove":[152],"challenging":[153],"traditional":[155],"sEMg":[156]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
