{"id":"https://openalex.org/W2967319773","doi":"https://doi.org/10.1109/icra.2019.8794175","title":"Video-based Prediction of Hand-grasp Preshaping with Application to Prosthesis Control","display_name":"Video-based Prediction of Hand-grasp Preshaping with Application to Prosthesis Control","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2967319773","doi":"https://doi.org/10.1109/icra.2019.8794175","mag":"2967319773"},"language":"en","primary_location":{"id":"doi:10.1109/icra.2019.8794175","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2019.8794175","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5048727764","display_name":"Luke T. Taverne","orcid":"https://orcid.org/0000-0002-2649-004X"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Luke T. Taverne","raw_affiliation_strings":["Department of Health Sciences and Technology, Rehabilitation Engineering Lab (RELab), ETH Zurich, Zurich, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Health Sciences and Technology, Rehabilitation Engineering Lab (RELab), ETH Zurich, Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004591628","display_name":"Matteo Cognolato","orcid":"https://orcid.org/0000-0003-4891-7662"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Matteo Cognolato","raw_affiliation_strings":["Department of Health Sciences and Technology, Rehabilitation Engineering Lab (RELab), ETH Zurich, Zurich, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Health Sciences and Technology, Rehabilitation Engineering Lab (RELab), ETH Zurich, Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069252826","display_name":"Tobias B\u00fctzer","orcid":"https://orcid.org/0000-0003-1066-4700"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Tobias Butzer","raw_affiliation_strings":["Department of Health Sciences and Technology, Rehabilitation Engineering Lab (RELab), ETH Zurich, Zurich, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Health Sciences and Technology, Rehabilitation Engineering Lab (RELab), ETH Zurich, Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028092015","display_name":"Roger Gassert","orcid":"https://orcid.org/0000-0002-6373-8518"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Roger Gassert","raw_affiliation_strings":["Department of Health Sciences and Technology, Rehabilitation Engineering Lab (RELab), ETH Zurich, Zurich, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Health Sciences and Technology, Rehabilitation Engineering Lab (RELab), ETH Zurich, Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025000908","display_name":"Otmar Hilliges","orcid":"https://orcid.org/0000-0002-5068-3474"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Otmar Hilliges","raw_affiliation_strings":["Department of Computer Science, Advanced Interactive Technologies Lab (AIT), ETH Zurich, Zurich, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Advanced Interactive Technologies Lab (AIT), ETH Zurich, Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I35440088"],"apc_list":null,"apc_paid":null,"fwci":6.3537,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.97639217,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"4975","last_page":"4982"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.9998000264167786,"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":0.9998000264167786,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.9972000122070312,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/grasp","display_name":"GRASP","score":0.9511052966117859},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7432628273963928},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6260315179824829},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5199876427650452},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.48370057344436646},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.46379026770591736},{"id":"https://openalex.org/keywords/prosthetic-hand","display_name":"Prosthetic hand","score":0.45921704173088074},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.44042718410491943},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.41917166113853455}],"concepts":[{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.9511052966117859},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7432628273963928},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6260315179824829},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5199876427650452},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.48370057344436646},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.46379026770591736},{"id":"https://openalex.org/C3020781530","wikidata":"https://www.wikidata.org/wiki/Q181802","display_name":"Prosthetic hand","level":2,"score":0.45921704173088074},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.44042718410491943},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.41917166113853455},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icra.2019.8794175","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2019.8794175","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"},{"id":"pmh:oai:arodes.hes-so.ch:5430","is_oa":false,"landing_page_url":"http://arodes.hes-so.ch/record/5430","pdf_url":null,"source":{"id":"https://openalex.org/S4306402432","display_name":"ArODES (HES-SO (https://www.hes-so.ch/))","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210088449","host_organization_name":"HES-SO Gen\u00e8ve","host_organization_lineage":["https://openalex.org/I4210088449"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"http://arodes.hes-so.ch/record/5430","raw_type":"Text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320327714","display_name":"ETH Z\u00fcrich Foundation","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W790225446","https://openalex.org/W1514535095","https://openalex.org/W1522734439","https://openalex.org/W1562363158","https://openalex.org/W1571978122","https://openalex.org/W1881186378","https://openalex.org/W1943054406","https://openalex.org/W2010426277","https://openalex.org/W2022327534","https://openalex.org/W2022499213","https://openalex.org/W2070612237","https://openalex.org/W2106526692","https://openalex.org/W2113028304","https://openalex.org/W2116261113","https://openalex.org/W2163648427","https://openalex.org/W2164870294","https://openalex.org/W2181844556","https://openalex.org/W2279098554","https://openalex.org/W2295038166","https://openalex.org/W2328361113","https://openalex.org/W2401231614","https://openalex.org/W2476000533","https://openalex.org/W2570343428","https://openalex.org/W2611223806","https://openalex.org/W2805661097","https://openalex.org/W2963446712","https://openalex.org/W2964137095","https://openalex.org/W3026022605","https://openalex.org/W6622743730","https://openalex.org/W6630875275","https://openalex.org/W6677408996","https://openalex.org/W6778144003"],"related_works":["https://openalex.org/W2163296013","https://openalex.org/W2743859443","https://openalex.org/W2326995835","https://openalex.org/W165915117","https://openalex.org/W2059402478","https://openalex.org/W2123347777","https://openalex.org/W4200004409","https://openalex.org/W3035003309","https://openalex.org/W2011704032","https://openalex.org/W4205646621"],"abstract_inverted_index":{"Among":[0],"the":[1,25,34,51,54,57,127,157,167,178,188],"currently":[2],"available":[3],"grasp-type":[4,52,179],"selection":[5],"techniques":[6],"for":[7,33,39,53,83,100,141],"hand":[8,171],"prostheses,":[9],"there":[10],"is":[11,47],"a":[12,28,92,161,170],"distinct":[13],"lack":[14],"of":[15,27,36,44,56,96,115,152,169,177],"intuitive,":[16,143],"robust,":[17],"low-latency":[18],"solutions.":[19],"In":[20],"this":[21,45],"paper":[22],"we":[23],"investigate":[24],"use":[26],"portable,":[29],"forearm-mounted,":[30],"video-based":[31],"technique":[32],"prediction":[35,176],"hand-grasp":[37],"preshaping":[38],"arbitrary":[40],"objects.":[41],"The":[42],"purpose":[43],"system":[46,65,162],"to":[48,69,154],"automatically":[49],"select":[50],"user":[55],"prosthesis,":[58,172],"potentially":[59],"increasing":[60],"ease-of-use":[61],"and":[62,71,85,90,118,125],"functionality.":[63],"This":[64],"can":[66],"be":[67,164],"used":[68,112],"supplement":[70],"improve":[72],"existing":[73],"control":[74],"strategies,":[75],"such":[76],"as":[77],"surface":[78],"electromyography":[79],"(sEMG)":[80],"pattern":[81],"recognition,":[82],"prosthetic":[84],"orthotic":[86],"devices.":[87],"We":[88,123],"designed":[89],"created":[91],"suitable":[93],"dataset":[94,128],"consisting":[95],"RGB-D":[97],"video":[98,150],"data":[99],"2212":[101],"grasp":[102],"examples":[103],"split":[104],"evenly":[105],"across":[106],"7":[107],"classes;":[108],"6":[109],"grasps":[110],"commonly":[111],"in":[113],"activities":[114],"daily":[116],"living,":[117],"an":[119,174],"additional":[120],"no-grasp":[121],"category.":[122],"processed":[124],"analyzed":[126],"using":[129],"several":[130],"state-of-the-art":[131],"deep":[132],"learning":[133],"architectures.":[134],"Our":[135],"selected":[136],"model":[137],"shows":[138],"promising":[139],"results":[140],"realistic,":[142],"real-world":[144],"use,":[145],"reaching":[146],"per-frame":[147],"accuracies":[148],"on":[149,156],"sequences":[151],"up":[153],"95.90%":[155],"validation":[158],"set.":[159],"Such":[160],"could":[163],"integrated":[165],"into":[166],"palm":[168],"allowing":[173],"automatic":[175],"without":[180],"requiring":[181],"any":[182],"special":[183],"movements":[184],"or":[185],"aiming":[186],"by":[187],"user.":[189]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}