{"id":"https://openalex.org/W4412171174","doi":"https://doi.org/10.1109/memea65319.2025.11068047","title":"Deep Edge-AI for Prosthetic Control: Feasibility of ISPU-Based Solutions for a Robotic Extra Limb","display_name":"Deep Edge-AI for Prosthetic Control: Feasibility of ISPU-Based Solutions for a Robotic Extra Limb","publication_year":2025,"publication_date":"2025-05-28","ids":{"openalex":"https://openalex.org/W4412171174","doi":"https://doi.org/10.1109/memea65319.2025.11068047"},"language":"en","primary_location":{"id":"doi:10.1109/memea65319.2025.11068047","is_oa":false,"landing_page_url":"https://doi.org/10.1109/memea65319.2025.11068047","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Medical Measurements &amp;amp; Applications (MeMeA)","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/A5093712816","display_name":"Maria Gragnaniello","orcid":"https://orcid.org/0009-0006-0925-9483"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Maria Gragnaniello","raw_affiliation_strings":["DIETI University of Naples Federico II,Napoli,Italy"],"affiliations":[{"raw_affiliation_string":"DIETI University of Naples Federico II,Napoli,Italy","institution_ids":["https://openalex.org/I71267560"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052652565","display_name":"Tommaso Lisini Baldi","orcid":"https://orcid.org/0000-0002-2930-955X"},"institutions":[{"id":"https://openalex.org/I102064193","display_name":"University of Siena","ror":"https://ror.org/01tevnk56","country_code":"IT","type":"education","lineage":["https://openalex.org/I102064193"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Tommaso Lisini Baldi","raw_affiliation_strings":["DIISM University of Siena,Siena,Italy"],"affiliations":[{"raw_affiliation_string":"DIISM University of Siena,Siena,Italy","institution_ids":["https://openalex.org/I102064193"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005523277","display_name":"Elia Landi","orcid":"https://orcid.org/0000-0003-2797-481X"},"institutions":[{"id":"https://openalex.org/I102064193","display_name":"University of Siena","ror":"https://ror.org/01tevnk56","country_code":"IT","type":"education","lineage":["https://openalex.org/I102064193"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Elia Landi","raw_affiliation_strings":["DIISM University of Siena,Siena,Italy"],"affiliations":[{"raw_affiliation_string":"DIISM University of Siena,Siena,Italy","institution_ids":["https://openalex.org/I102064193"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035423509","display_name":"Gionata Salvietti","orcid":"https://orcid.org/0000-0001-9170-4051"},"institutions":[{"id":"https://openalex.org/I102064193","display_name":"University of Siena","ror":"https://ror.org/01tevnk56","country_code":"IT","type":"education","lineage":["https://openalex.org/I102064193"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gionata Salvietti","raw_affiliation_strings":["DIISM University of Siena,Siena,Italy"],"affiliations":[{"raw_affiliation_string":"DIISM University of Siena,Siena,Italy","institution_ids":["https://openalex.org/I102064193"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089190449","display_name":"Giovanni Breglio","orcid":"https://orcid.org/0000-0002-9350-5483"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giovanni Breglio","raw_affiliation_strings":["DIETI University of Naples Federico II,Napoli,Italy"],"affiliations":[{"raw_affiliation_string":"DIETI University of Naples Federico II,Napoli,Italy","institution_ids":["https://openalex.org/I71267560"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050995717","display_name":"Michele Riccio","orcid":"https://orcid.org/0000-0002-5926-4911"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Michele Riccio","raw_affiliation_strings":["DIETI University of Naples Federico II,Napoli,Italy"],"affiliations":[{"raw_affiliation_string":"DIETI University of Naples Federico II,Napoli,Italy","institution_ids":["https://openalex.org/I71267560"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5093712816"],"corresponding_institution_ids":["https://openalex.org/I71267560"],"apc_list":null,"apc_paid":null,"fwci":1.3529,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.8242556,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9492999911308289,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10653","display_name":"Robot Manipulation and Learning","score":0.9492999911308289,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10784","display_name":"Muscle activation and electromyography studies","score":0.9484000205993652,"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/T10763","display_name":"Digital Transformation in Industry","score":0.9153000116348267,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/computer-science","display_name":"Computer science","score":0.5882974863052368},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5496252775192261},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.521528959274292},{"id":"https://openalex.org/keywords/artificial-limbs","display_name":"Artificial limbs","score":0.5042394399642944},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.4130551517009735},{"id":"https://openalex.org/keywords/medical-robotics","display_name":"Medical robotics","score":0.41123831272125244},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.4101272225379944},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3734729588031769},{"id":"https://openalex.org/keywords/prosthesis","display_name":"Prosthesis","score":0.18506664037704468}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5882974863052368},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5496252775192261},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.521528959274292},{"id":"https://openalex.org/C2987467780","wikidata":"https://www.wikidata.org/wiki/Q181802","display_name":"Artificial limbs","level":3,"score":0.5042394399642944},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.4130551517009735},{"id":"https://openalex.org/C2985005502","wikidata":"https://www.wikidata.org/wiki/Q6806593","display_name":"Medical robotics","level":3,"score":0.41123831272125244},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4101272225379944},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3734729588031769},{"id":"https://openalex.org/C2778715743","wikidata":"https://www.wikidata.org/wiki/Q181802","display_name":"Prosthesis","level":2,"score":0.18506664037704468}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/memea65319.2025.11068047","is_oa":false,"landing_page_url":"https://doi.org/10.1109/memea65319.2025.11068047","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Medical Measurements &amp;amp; Applications (MeMeA)","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":12,"referenced_works":["https://openalex.org/W2091383515","https://openalex.org/W2315124452","https://openalex.org/W3148310441","https://openalex.org/W4360764834","https://openalex.org/W4388483321","https://openalex.org/W4391345674","https://openalex.org/W4391424211","https://openalex.org/W4392207810","https://openalex.org/W4399997105","https://openalex.org/W4400449431","https://openalex.org/W4401808980","https://openalex.org/W4405737197"],"related_works":["https://openalex.org/W8302103","https://openalex.org/W3171631314","https://openalex.org/W2674584172","https://openalex.org/W2967743314","https://openalex.org/W2606825221","https://openalex.org/W2184085865","https://openalex.org/W2064245428","https://openalex.org/W2170721890","https://openalex.org/W2122871747","https://openalex.org/W1990892711"],"abstract_inverted_index":{"Robotic":[0],"extra-limbs,":[1],"such":[2],"as":[3],"the":[4,30,86,104,120,124,136,139,162,166,174],"Sixth":[5],"Finger,":[6],"offer":[7],"significant":[8],"potential":[9],"in":[10,41],"enhancing":[11],"human":[12],"capabilities.":[13],"These":[14],"devices":[15],"require":[16],"precise":[17],"real-time":[18],"control,":[19],"making":[20],"sensing":[21],"crucial":[22],"for":[23,63,82,141],"achieving":[24],"this":[25,28,169],"goal.":[26],"In":[27],"study,":[29],"integration":[31,146],"of":[32,75,116,168,181,196],"Inertial":[33],"Measurement":[34],"Units":[35],"(IMUs)":[36],"and":[37,84,97,150,183,190],"Deep":[38,170],"Edge":[39],"AI":[40],"controlling":[42],"a":[43,52,72,113,192],"prosthetic":[44,64,87,156],"finger":[45],"was":[46,69],"investigated.":[47],"The":[48,66,110],"proposed":[49],"approach":[50],"employs":[51],"custom-designed":[53],"neural":[54,67],"network":[55,68,111,121,175],"trained":[56,70],"on":[57,71,123,135,161],"sensor":[58,164],"data,":[59],"providing":[60],"intuitive":[61],"control":[62],"devices.":[65],"dataset":[73,105],"consisting":[74],"6-axis":[76],"IMU":[77],"acquisitions,":[78],"including":[79],"movement":[80],"data":[81],"opening":[83],"closing":[85],"finger.":[88],"Through":[89],"advanced":[90],"preprocessing":[91],"techniques,":[92],"84":[93],"features":[94],"were":[95],"extracted,":[96],"feature":[98],"selection":[99],"using":[100],"LASSO":[101],"regression":[102],"reduced":[103],"to":[106],"36":[107],"relevant":[108],"features.":[109],"achieved":[112],"classification":[114],"accuracy":[115],"95.10%.":[117],"By":[118],"deploying":[119],"directly":[122],"IMU's":[125],"embedded":[126],"Intelligent":[127],"Sensor":[128],"Processing":[129],"Unit":[130],"(ISPU),":[131],"inference":[132,186],"is":[133],"conducted":[134],"device,":[137],"eliminating":[138],"need":[140],"external":[142],"computing":[143],"resources.":[144],"This":[145],"significantly":[147],"reduces":[148],"latency":[149],"power":[151,194],"consumption,":[152],"facilitating":[153],"real-time,":[154],"energy-efficient":[155],"control.":[157],"Initial":[158],"deployment":[159],"tests":[160],"LSM6DSO16IS":[163],"demonstrate":[165],"viability":[167],"Edge-AI":[171],"approach,":[172],"with":[173],"requiring":[176],"minimal":[177],"memory":[178],"(400":[179],"Bytes":[180],"RAM)":[182],"offering":[184],"rapid":[185],"times":[187],"(21.43":[188],"ms)":[189],"introducing":[191],"modest":[193],"overhead":[195],"12.5%.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2025-10-10T00:00:00"}
