{"id":"https://openalex.org/W2568518337","doi":"https://doi.org/10.1109/tbme.2016.2647680","title":"A Dataset and Benchmarks for Segmentation and Recognition of Gestures in Robotic Surgery","display_name":"A Dataset and Benchmarks for Segmentation and Recognition of Gestures in Robotic Surgery","publication_year":2017,"publication_date":"2017-01-04","ids":{"openalex":"https://openalex.org/W2568518337","doi":"https://doi.org/10.1109/tbme.2016.2647680","mag":"2568518337","pmid":"https://pubmed.ncbi.nlm.nih.gov/28060703"},"language":"en","primary_location":{"id":"doi:10.1109/tbme.2016.2647680","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2016.2647680","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biomedical Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5559351","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028746832","display_name":"Narges Ahmidi","orcid":"https://orcid.org/0000-0003-0983-9964"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Narges Ahmidi","raw_affiliation_strings":["Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103277916","display_name":"Lingling Tao","orcid":"https://orcid.org/0000-0001-9155-6503"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lingling Tao","raw_affiliation_strings":["Center for Imaging Science, Department of Biomedical Engineering, Johns Hopkins University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Imaging Science, Department of Biomedical Engineering, Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016004907","display_name":"Shahin Sefati","orcid":"https://orcid.org/0009-0003-4977-2298"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shahin Sefati","raw_affiliation_strings":["Center for Imaging Science, Department of Biomedical Engineering, Johns Hopkins University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Imaging Science, Department of Biomedical Engineering, Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101781558","display_name":"Yixin Gao","orcid":"https://orcid.org/0000-0001-8854-8959"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yixin Gao","raw_affiliation_strings":["Department of Computer Science, Johns Hopkins University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088537496","display_name":"Colin Lea","orcid":"https://orcid.org/0000-0001-7068-3351"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Colin Lea","raw_affiliation_strings":["Department of Computer Science, Johns Hopkins University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058720464","display_name":"Benjam\u0131\u0301n B\u00e9jar","orcid":"https://orcid.org/0000-0001-9705-4483"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Benjamin Bejar Haro","raw_affiliation_strings":["Center for Imaging Science, Department of Biomedical Engineering, Johns Hopkins University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Imaging Science, Department of Biomedical Engineering, Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043365442","display_name":"Luca Zappella","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Luca Zappella","raw_affiliation_strings":["Center for Imaging Science, Department of Biomedical Engineering, Johns Hopkins University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Imaging Science, Department of Biomedical Engineering, Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014580424","display_name":"Sanjeev Khudanpur","orcid":"https://orcid.org/0000-0001-5976-0897"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sanjeev Khudanpur","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Johns Hopkins University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011256828","display_name":"Ren\u00e9 Vidal","orcid":"https://orcid.org/0000-0003-1838-0761"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rene Vidal","raw_affiliation_strings":["Center for Imaging Science, Department of Biomedical Engineering, Johns Hopkins University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Imaging Science, Department of Biomedical Engineering, Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041383246","display_name":"Gregory D. Hager","orcid":"https://orcid.org/0000-0002-6662-9763"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gregory D. Hager","raw_affiliation_strings":["Department of Computer Science, Johns Hopkins University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":10,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":25.6861,"has_fulltext":false,"cited_by_count":288,"citation_normalized_percentile":{"value":0.99797583,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"64","issue":"9","first_page":"2025","last_page":"2041"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10916","display_name":"Surgical Simulation and Training","score":0.6804999709129333,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10916","display_name":"Surgical Simulation and Training","score":0.6804999709129333,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10562","display_name":"Total Knee Arthroplasty Outcomes","score":0.18549999594688416,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.029500000178813934,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.7008867859840393},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.685082197189331},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6345459818840027},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.5498790144920349},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5476797819137573},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5458222031593323},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.48938101530075073},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48322734236717224},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.45792895555496216},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.43865323066711426},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.4283086061477661},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.423860639333725},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.4132574796676636},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3761908710002899},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34612634778022766},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.25896382331848145},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1007051169872284}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.7008867859840393},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.685082197189331},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6345459818840027},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.5498790144920349},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5476797819137573},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5458222031593323},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.48938101530075073},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48322734236717224},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.45792895555496216},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.43865323066711426},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.4283086061477661},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.423860639333725},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.4132574796676636},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3761908710002899},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34612634778022766},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.25896382331848145},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1007051169872284},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D002983","descriptor_name":"Clinical Competence","qualifier_ui":"Q000592","qualifier_name":"standards","is_major_topic":false},{"descriptor_ui":"D002983","descriptor_name":"Clinical Competence","qualifier_ui":"Q000592","qualifier_name":"standards","is_major_topic":false},{"descriptor_ui":"D002983","descriptor_name":"Clinical Competence","qualifier_ui":"Q000592","qualifier_name":"standards","is_major_topic":false},{"descriptor_ui":"D002983","descriptor_name":"Clinical Competence","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D002983","descriptor_name":"Clinical Competence","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D002983","descriptor_name":"Clinical Competence","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D005868","descriptor_name":"Gestures","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005868","descriptor_name":"Gestures","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005868","descriptor_name":"Gestures","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014481","descriptor_name":"United States","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014481","descriptor_name":"United States","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014481","descriptor_name":"United States","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":"Q000592","qualifier_name":"standards","is_major_topic":false},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":"Q000592","qualifier_name":"standards","is_major_topic":false},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":"Q000592","qualifier_name":"standards","is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000592","qualifier_name":"standards","is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000592","qualifier_name":"standards","is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000592","qualifier_name":"standards","is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D065287","descriptor_name":"Robotic Surgical Procedures","qualifier_ui":"Q000592","qualifier_name":"standards","is_major_topic":false},{"descriptor_ui":"D065287","descriptor_name":"Robotic Surgical Procedures","qualifier_ui":"Q000592","qualifier_name":"standards","is_major_topic":false},{"descriptor_ui":"D065287","descriptor_name":"Robotic Surgical Procedures","qualifier_ui":"Q000592","qualifier_name":"standards","is_major_topic":false},{"descriptor_ui":"D065287","descriptor_name":"Robotic Surgical Procedures","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D065287","descriptor_name":"Robotic Surgical Procedures","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D065287","descriptor_name":"Robotic Surgical Procedures","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1109/tbme.2016.2647680","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2016.2647680","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biomedical Engineering","raw_type":"journal-article"},{"id":"pmid:28060703","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28060703","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on bio-medical engineering","raw_type":null},{"id":"pmh:oai:europepmc.org:5066614","is_oa":false,"landing_page_url":"http://europepmc.org/pmc/articles/PMC5559351","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:5559351","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5559351","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Biomed Eng","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:5559351","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5559351","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Biomed Eng","raw_type":"Text"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.5099999904632568}],"awards":[{"id":"https://openalex.org/G1046638797","display_name":null,"funder_award_id":"IIS-0748338","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G1530932932","display_name":null,"funder_award_id":"0534359","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5668975883","display_name":null,"funder_award_id":"DGE-1232825","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6601307235","display_name":null,"funder_award_id":"1R01-DE025265","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G8152915833","display_name":null,"funder_award_id":"OIA 0941362","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8510127407","display_name":null,"funder_award_id":"CSN 0931805","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306151","display_name":"Alfred P. Sloan Foundation","ror":"https://ror.org/052csg198"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320334678","display_name":"European Research Council","ror":"https://ror.org/0472cxd90"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":92,"referenced_works":["https://openalex.org/W100441416","https://openalex.org/W137943907","https://openalex.org/W152594678","https://openalex.org/W204005290","https://openalex.org/W593558681","https://openalex.org/W1480566021","https://openalex.org/W1493108235","https://openalex.org/W1504664708","https://openalex.org/W1534763723","https://openalex.org/W1535456295","https://openalex.org/W1535734535","https://openalex.org/W1575406964","https://openalex.org/W1625255723","https://openalex.org/W1766290689","https://openalex.org/W1807157311","https://openalex.org/W1877183374","https://openalex.org/W1953678742","https://openalex.org/W1965741987","https://openalex.org/W1972390340","https://openalex.org/W1973532874","https://openalex.org/W1982094865","https://openalex.org/W1986137923","https://openalex.org/W1986423456","https://openalex.org/W1989228528","https://openalex.org/W1989912492","https://openalex.org/W1992666150","https://openalex.org/W1993229407","https://openalex.org/W1994580424","https://openalex.org/W1997493096","https://openalex.org/W2005876975","https://openalex.org/W2014914041","https://openalex.org/W2020163092","https://openalex.org/W2030536784","https://openalex.org/W2031248101","https://openalex.org/W2033737638","https://openalex.org/W2035332999","https://openalex.org/W2047805825","https://openalex.org/W2082820542","https://openalex.org/W2083088729","https://openalex.org/W2097018403","https://openalex.org/W2097540174","https://openalex.org/W2103096173","https://openalex.org/W2105842272","https://openalex.org/W2107466310","https://openalex.org/W2109498513","https://openalex.org/W2112020727","https://openalex.org/W2114618801","https://openalex.org/W2116938970","https://openalex.org/W2121647436","https://openalex.org/W2125838338","https://openalex.org/W2126574503","https://openalex.org/W2128730107","https://openalex.org/W2131846894","https://openalex.org/W2142384583","https://openalex.org/W2144641257","https://openalex.org/W2145081273","https://openalex.org/W2147138905","https://openalex.org/W2155336606","https://openalex.org/W2160547390","https://openalex.org/W2163614729","https://openalex.org/W2222269984","https://openalex.org/W2227341437","https://openalex.org/W2276260329","https://openalex.org/W2296146598","https://openalex.org/W2336866588","https://openalex.org/W2408172531","https://openalex.org/W2411773784","https://openalex.org/W2412843709","https://openalex.org/W2413983136","https://openalex.org/W2464444231","https://openalex.org/W2491875666","https://openalex.org/W2565597243","https://openalex.org/W2912155302","https://openalex.org/W3081791202","https://openalex.org/W4231173882","https://openalex.org/W4243781580","https://openalex.org/W4245743577","https://openalex.org/W4255599054","https://openalex.org/W6608219119","https://openalex.org/W6617688673","https://openalex.org/W6629423292","https://openalex.org/W6632082525","https://openalex.org/W6636494156","https://openalex.org/W6641005062","https://openalex.org/W6671302139","https://openalex.org/W6675783020","https://openalex.org/W6683915439","https://openalex.org/W6688880502","https://openalex.org/W6689371018","https://openalex.org/W6715215361","https://openalex.org/W6715685947","https://openalex.org/W6719263985"],"related_works":["https://openalex.org/W2126747775","https://openalex.org/W2092834568","https://openalex.org/W1510894296","https://openalex.org/W2134386692","https://openalex.org/W2095844239","https://openalex.org/W2082284720","https://openalex.org/W2194396582","https://openalex.org/W2116722627","https://openalex.org/W2379938888","https://openalex.org/W2537260108"],"abstract_inverted_index":{"OBJECTIVE:":[0],"State-of-the-art":[1],"techniques":[2,130,142,250],"for":[3,10,51,128,131,147,218,223],"surgical":[4,52,108,247],"data":[5,29,53,102,138],"analysis":[6],"report":[7],"promising":[8,210],"results":[9,127,211,234],"automated":[11,132],"skill":[12],"assessment":[13,34],"and":[14,30,60,62,78,100,125,134,150,165,170,184,202,243],"action":[15],"recognition.":[16],"The":[17,233],"contributions":[18],"of":[19,21,35,57,65,106,112,136,181,226,246],"many":[20],"these":[22],"techniques,":[23],"however,":[24],"are":[25],"limited":[26],"to":[27,91,176],"study-specific":[28],"validation":[31,67],"metrics,":[32],"making":[33],"progress":[36,220],"across":[37,229],"the":[38,71,75,117,240,252],"field":[39],"extremely":[40],"challenging.":[41],"METHODS:":[42],"In":[43],"this":[44,213,237],"paper,":[45],"we":[46,88],"address":[47,70,116],"two":[48,171],"major":[49],"problems":[50],"analysis:":[54],"First,":[55],"lack":[56,64],"uniform-shared":[58],"datasets":[59],"benchmarks,":[61],"second,":[63],"consistent":[66,224],"processes.":[68],"We":[69,115],"former":[72],"by":[73,110,119],"presenting":[74,120],"JHU-ISI":[76],"Gesture":[77],"Skill":[79],"Assessment":[80],"Working":[81],"Set":[82],"(JIGSAWS),":[83],"a":[84,121],"public":[85],"dataset":[86],"that":[87,174],"have":[89],"created":[90],"support":[92],"comparative":[93],"research":[94],"benchmarking.":[95],"JIGSAWS":[96],"contains":[97],"synchronized":[98],"video":[99],"kinematic":[101],"from":[103],"multiple":[104],"performances":[105],"robotic":[107],"tasks":[109],"operators":[111],"varying":[113],"skill.":[114],"latter":[118],"well-documented":[122],"evaluation":[123,245],"methodology":[124],"reporting":[126],"six":[129],"segmentation":[133,149],"classification":[135],"time-series":[137],"on":[139,212,251],"JIGSAWS.":[140],"These":[141],"comprise":[143],"four":[144],"temporal":[145],"approaches":[146],"joint":[148],"classification:":[151],"hidden":[152,156],"Markov":[153,157,160],"model,":[154],"sparse":[155],"model":[158],"(HMM),":[159],"semi-Markov":[161],"conditional":[162,167],"random":[163,168],"field,":[164],"skip-chain":[166],"field;":[169],"feature-based":[172],"ones":[173],"aim":[175],"classify":[177],"fixed":[178],"segments:":[179],"bag":[180],"spatiotemporal":[182],"features":[183],"linear":[185],"dynamical":[186],"systems.":[187],"RESULTS:":[188],"Most":[189],"methods":[190,208],"recognize":[191],"gesture":[192,227],"activities":[193,228],"with":[194],"approximately":[195],"80%":[196],"overall":[197],"accuracy":[198],"under":[199],"both":[200],"leave-one-super-trial-out":[201],"leave-one-user-out":[203],"cross-validation":[204],"settings.":[205],"CONCLUSION:":[206],"Current":[207],"show":[209],"shared":[214],"dataset,":[215],"but":[216],"room":[217],"significant":[219],"remains,":[221],"particularly":[222],"prediction":[225],"different":[230],"surgeons.":[231],"SIGNIFICANCE:":[232],"reported":[235],"in":[236],"paper":[238],"provide":[239],"first":[241],"systematic":[242],"uniform":[244],"activity":[248],"recognition":[249],"benchmark":[253],"database.":[254]},"counts_by_year":[{"year":2026,"cited_by_count":14},{"year":2025,"cited_by_count":32},{"year":2024,"cited_by_count":28},{"year":2023,"cited_by_count":33},{"year":2022,"cited_by_count":24},{"year":2021,"cited_by_count":53},{"year":2020,"cited_by_count":38},{"year":2019,"cited_by_count":36},{"year":2018,"cited_by_count":20},{"year":2017,"cited_by_count":9}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
