{"id":"https://openalex.org/W4403789142","doi":"https://doi.org/10.48550/arxiv.2409.16415","title":"Improving Intersession Reproducibility for Forearm Ultrasound based Hand Gesture Classification through an Incremental Learning Approach","display_name":"Improving Intersession Reproducibility for Forearm Ultrasound based Hand Gesture Classification through an Incremental Learning Approach","publication_year":2024,"publication_date":"2024-09-24","ids":{"openalex":"https://openalex.org/W4403789142","doi":"https://doi.org/10.48550/arxiv.2409.16415"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2409.16415","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2409.16415","pdf_url":"https://arxiv.org/pdf/2409.16415","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2409.16415","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064913985","display_name":"Keshav Bimbraw","orcid":"https://orcid.org/0000-0003-3735-7700","observed_orcids":["https://orcid.org/0000-0003-3735-7700"]},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bimbraw, Keshav","raw_affiliation_strings":["Robotics Engineering Worcester Polytechnic Institute Worcester , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Robotics Engineering Worcester Polytechnic Institute Worcester , USA","institution_ids":["https://openalex.org/I107077323"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033208588","display_name":"Jack Rothenberg","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rothenberg, Jack","raw_affiliation_strings":["Robotics and Biomedical Engineering Worcester Polytechnic Institute Worcester , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Robotics and Biomedical Engineering Worcester Polytechnic Institute Worcester , USA","institution_ids":["https://openalex.org/I107077323"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077612510","display_name":"Haichong K. Zhang","orcid":"https://orcid.org/0000-0002-1314-8456","observed_orcids":["https://orcid.org/0000-0002-1314-8456"]},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhang, Haichong K.","raw_affiliation_strings":["Robotics and Biomedical Engineering Worcester Polytechnic Institute Worcester , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Robotics and Biomedical Engineering Worcester Polytechnic Institute Worcester , USA","institution_ids":["https://openalex.org/I107077323"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I107077323"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.001500000013038516,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10784","display_name":"Muscle activation and electromyography studies","score":0.0007999999797903001,"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/hand-gesture-classification","display_name":"hand gesture classification","score":0.9929999709129333},{"id":"https://openalex.org/keywords/incremental-learning","display_name":"incremental learning","score":0.765999972820282},{"id":"https://openalex.org/keywords/fine-tuning","display_name":"fine-tuning","score":0.921999990940094},{"id":"https://openalex.org/keywords/probe-location","display_name":"probe location","score":0.42399999499320984},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.7829999923706055},{"id":"https://openalex.org/keywords/human-machine-interaction","display_name":"human-machine interaction","score":0.5960000157356262},{"id":"https://openalex.org/keywords/wearable-devices","display_name":"wearable devices","score":0.6039999723434448},{"id":"https://openalex.org/keywords/cross-subject-generalization","display_name":"cross-subject generalization","score":0.8240000009536743}],"concepts":[{"id":"https://openalex.org/C9893847","wikidata":"https://www.wikidata.org/wiki/Q1425625","display_name":"Reproducibility","level":2,"score":0.8507630825042725},{"id":"https://openalex.org/C2780214079","wikidata":"https://www.wikidata.org/wiki/Q228537","display_name":"Forearm","level":2,"score":0.685928463935852},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.6211975812911987},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5371696352958679},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.4751070439815521},{"id":"https://openalex.org/C2780735816","wikidata":"https://www.wikidata.org/wiki/Q28324931","display_name":"Incremental learning","level":2,"score":0.4734877049922943},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3530135750770569},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3058840036392212},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.21487480401992798},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13226816058158875},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.11777392029762268},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1043441891670227}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2409.16415","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2409.16415","pdf_url":"https://arxiv.org/pdf/2409.16415","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2409.16415","doi":"https://doi.org/10.48550/arxiv.2409.16415","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2409.16415","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2409.16415","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2409.16415","pdf_url":"https://arxiv.org/pdf/2409.16415","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403789142.pdf","grobid_xml":"https://content.openalex.org/works/W4403789142.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4405522474","https://openalex.org/W7158827398","https://openalex.org/W7070256790","https://openalex.org/W4388452437","https://openalex.org/W4405270736","https://openalex.org/W4393371790","https://openalex.org/W2888919847","https://openalex.org/W4313153320","https://openalex.org/W4395465142","https://openalex.org/W7092657117"],"abstract_inverted_index":{"Ultrasound":[0,91],"images":[1],"of":[2,146],"the":[3,34,45,51,55,61,65,106,135,144,147],"forearm":[4],"can":[5,176,218,231],"be":[6,219,232],"used":[7,124,220],"to":[8,60,80,234],"classify":[9],"hand":[10,97,215],"gestures":[11,98],"towards":[12,240],"developing":[13,241],"human":[14],"machine":[15],"interfaces.":[16],"In":[17,67],"our":[18],"previous":[19],"work,":[20],"we":[21,70,194],"have":[22],"demonstrated":[23],"gesture":[24,216],"classification":[25,179,201,217],"using":[26,159],"ultrasound":[27,213],"on":[28,64,75,212],"a":[29,73,82,100,140,164],"single":[30],"subject":[31],"without":[32],"removing":[33,103],"probe":[35,46,62,107],"before":[36],"evaluation.":[37],"This":[38,203],"has":[39],"limitations":[40],"in":[41,151,200],"usage":[42],"as":[43,139],"once":[44],"is":[47,58],"removed":[48],"and":[49,104,110,143,166,228,239],"replaced,":[50],"accuracy":[52,180,222],"declines":[53],"since":[54],"classifier":[56],"performance":[57],"sensitive":[59],"location":[63],"arm.":[66],"this":[68,126],"paper,":[69],"propose":[71],"training":[72],"model":[74],"multiple":[76,168,237],"data":[77,92],"collection":[78],"sessions":[79,190],"create":[81],"generalized":[83],"model,":[84],"utilizing":[85],"incremental":[86,153,173,207],"learning":[87,208],"through":[88,209],"fine":[89,132,174,183,188,210],"tuning.":[90],"was":[93,123,131,157],"acquired":[94],"for":[95,125,191],"5":[96,119],"within":[99,163],"session":[101,161,165],"(without":[102],"putting":[105],"back":[108],"on)":[109],"across":[111],"sessions.":[112,169,185],"A":[113,128],"convolutional":[114],"neural":[115],"network":[116],"(CNN)":[117],"with":[118,134,181],"cascaded":[120],"convolution":[121,136],"layers":[122,149],"study.":[127],"pre-trained":[129],"CNN":[130],"tuned":[133],"blocks":[137],"acting":[138],"feature":[141],"extractor,":[142],"parameters":[145],"remaining":[148],"updated":[150],"an":[152,196],"fashion.":[154],"Fine":[155],"tuning":[156,175,184,189,211],"done":[158],"different":[160],"splits":[162],"between":[167,236],"We":[170],"found":[171,195],"that":[172,206],"help":[177],"enhance":[178],"more":[182],"After":[186],"2":[187],"each":[192],"experiment,":[193],"approximate":[197],"10%":[198],"increase":[199],"accuracy.":[202],"work":[204],"demonstrates":[205],"based":[214],"improves":[221],"while":[223],"saving":[224],"storage,":[225],"processing":[226],"power,":[227],"time.":[229],"It":[230],"expanded":[233],"generalize":[235],"subjects":[238],"personalized":[242],"wearable":[243],"devices.":[244]},"counts_by_year":[],"updated_date":"2026-09-30T09:27:27.532063","created_date":"2024-10-27T00:00:00"}
