{"id":"https://openalex.org/W4405270736","doi":"https://doi.org/10.1109/bsn63547.2024.10780669","title":"Forearm Ultrasound Based Gesture Recognition on Edge","display_name":"Forearm Ultrasound Based Gesture Recognition on Edge","publication_year":2024,"publication_date":"2024-10-15","ids":{"openalex":"https://openalex.org/W4405270736","doi":"https://doi.org/10.1109/bsn63547.2024.10780669"},"language":"en","primary_location":{"id":"doi:10.1109/bsn63547.2024.10780669","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bsn63547.2024.10780669","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 20th International Conference on Body Sensor Networks (BSN)","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/A5064913985","display_name":"Keshav Bimbraw","orcid":"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":"Keshav Bimbraw","raw_affiliation_strings":["Worcester Polytechnic Institute,Robotics Engineering,Worcester,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Worcester Polytechnic Institute,Robotics Engineering,Worcester,USA","institution_ids":["https://openalex.org/I107077323"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077612510","display_name":"Haichong K. Zhang","orcid":"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":"Haichong K. Zhang","raw_affiliation_strings":["Worcester Polytechnic Institute,Robotics Engineering and Biomedical Engineering,Worcester,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Worcester Polytechnic Institute,Robotics Engineering and Biomedical Engineering,Worcester,USA","institution_ids":["https://openalex.org/I107077323"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035909313","display_name":"Bashima Islam","orcid":"https://orcid.org/0000-0002-1917-054X"},"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":"Bashima Islam","raw_affiliation_strings":["Worcester Polytechnic Institute,Electrical and Computer Engineering,Worcester,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Worcester Polytechnic Institute,Electrical and Computer Engineering,Worcester,USA","institution_ids":["https://openalex.org/I107077323"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2429,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.80547019,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9894999861717224,"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":0.9894999861717224,"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/T10510","display_name":"Stroke Rehabilitation and Recovery","score":0.9115999937057495,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6944109201431274},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.6726878881454468},{"id":"https://openalex.org/keywords/forearm","display_name":"Forearm","score":0.6710755228996277},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.6074787378311157},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5565563440322876},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5554603934288025},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.5066545605659485},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46366313099861145},{"id":"https://openalex.org/keywords/ultrasonic-imaging","display_name":"Ultrasonic imaging","score":0.4322810471057892},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3883305490016937},{"id":"https://openalex.org/keywords/anatomy","display_name":"Anatomy","score":0.21573308110237122},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.195785790681839},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.17258965969085693}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6944109201431274},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.6726878881454468},{"id":"https://openalex.org/C2780214079","wikidata":"https://www.wikidata.org/wiki/Q228537","display_name":"Forearm","level":2,"score":0.6710755228996277},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.6074787378311157},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5565563440322876},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5554603934288025},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.5066545605659485},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46366313099861145},{"id":"https://openalex.org/C2989478337","wikidata":"https://www.wikidata.org/wiki/Q234904","display_name":"Ultrasonic imaging","level":3,"score":0.4322810471057892},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3883305490016937},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.21573308110237122},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.195785790681839},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.17258965969085693}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bsn63547.2024.10780669","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bsn63547.2024.10780669","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 20th International Conference on Body Sensor Networks (BSN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W3082602835","https://openalex.org/W3112362560","https://openalex.org/W3173532097","https://openalex.org/W3200706290","https://openalex.org/W4319338761","https://openalex.org/W4319996459","https://openalex.org/W4388450086","https://openalex.org/W4389230200"],"related_works":["https://openalex.org/W2537963312","https://openalex.org/W2902873204","https://openalex.org/W2185750513","https://openalex.org/W2010878661","https://openalex.org/W3147379364","https://openalex.org/W2026258298","https://openalex.org/W3204639664","https://openalex.org/W2970836791","https://openalex.org/W2989699735","https://openalex.org/W2805039731"],"abstract_inverted_index":{"Ultrasound":[0],"imaging":[1],"of":[2,49,89,95,107],"the":[3,47,105,117],"forearm":[4,54],"has":[5,18],"demon-strated":[6],"significant":[7],"potential":[8],"for":[9,53,119],"accurate":[10],"hand":[11,56],"gesture":[12,28,57,110],"classification.":[13],"Despite":[14],"this":[15,42,44],"progress,":[16],"there":[17],"been":[19],"limited":[20],"focus":[21],"on":[22,59,98,112],"developing":[23],"a":[24,86,99],"stand":[25],"-alone":[26],"end-to-end":[27],"recognition":[29,58,111],"system":[30],"which":[31],"makes":[32],"it":[33],"mobile,":[34],"real-time":[35,109],"and":[36,76,91],"more":[37],"user":[38],"friendly.":[39],"To":[40],"bridge":[41],"gap,":[43],"paper":[45],"explores":[46],"deployment":[48],"deep":[50],"neural":[51],"networks":[52],"ultrasound-based":[55,121],"edge":[60,114],"devices.":[61],"Utilizing":[62],"quantization":[63],"techniques,":[64],"we":[65],"achieve":[66],"substantial":[67],"reductions":[68],"in":[69],"model":[70],"size":[71],"while":[72],"maintaining":[73],"high":[74],"accuracy":[75,88],"low":[77],"latency.":[78],"Our":[79],"best":[80],"model,":[81],"with":[82],"Float16":[83],"quantization,":[84],"achieves":[85],"test":[87],"92%":[90],"an":[92],"inference":[93],"time":[94],"0.31":[96],"seconds":[97],"Raspberry":[100],"Pi.":[101],"These":[102],"results":[103],"demonstrate":[104],"feasibility":[106],"efficient,":[108],"resource-limited":[113],"devices,":[115],"paving":[116],"way":[118],"wearable":[120],"systems.":[122]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}