{"id":"https://openalex.org/W1559410283","doi":"https://doi.org/10.1109/mva.2015.7153181","title":"Temporal-spatial validation of knot-tying procedures using RGB-D sensor for training of surgical operation","display_name":"Temporal-spatial validation of knot-tying procedures using RGB-D sensor for training of surgical operation","publication_year":2015,"publication_date":"2015-05-01","ids":{"openalex":"https://openalex.org/W1559410283","doi":"https://doi.org/10.1109/mva.2015.7153181","mag":"1559410283"},"language":"en","primary_location":{"id":"doi:10.1109/mva.2015.7153181","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mva.2015.7153181","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 14th IAPR International Conference on Machine Vision Applications (MVA)","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/A5103161520","display_name":"Yoko Ogawa","orcid":"https://orcid.org/0000-0002-2906-9621"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoko Ogawa","raw_affiliation_strings":["Ritsumeikan University Shiga, JAPAN","Ritsumeikan Univ. Shiga, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ritsumeikan University Shiga, JAPAN","institution_ids":["https://openalex.org/I135768898"]},{"raw_affiliation_string":"Ritsumeikan Univ. Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032660436","display_name":"Nobutaka Shimada","orcid":"https://orcid.org/0000-0002-1100-087X"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Nobutaka Shimada","raw_affiliation_strings":["Ritsumeikan University Shiga, JAPAN","Ritsumeikan Univ. Shiga, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ritsumeikan University Shiga, JAPAN","institution_ids":["https://openalex.org/I135768898"]},{"raw_affiliation_string":"Ritsumeikan Univ. Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111433832","display_name":"Yoshiaki Shirai","orcid":null},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshiaki Shirai","raw_affiliation_strings":["Ritsumeikan University Shiga, JAPAN","Ritsumeikan Univ. Shiga, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ritsumeikan University Shiga, JAPAN","institution_ids":["https://openalex.org/I135768898"]},{"raw_affiliation_string":"Ritsumeikan Univ. Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004284215","display_name":"Yoshimasa Kurumi","orcid":null},"institutions":[{"id":"https://openalex.org/I160046202","display_name":"Shiga University of Medical Science","ror":"https://ror.org/00d8gp927","country_code":"JP","type":"education","lineage":["https://openalex.org/I160046202"]},{"id":"https://openalex.org/I171494771","display_name":"Shiga University","ror":"https://ror.org/01vvhy971","country_code":"JP","type":"education","lineage":["https://openalex.org/I171494771"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshimasa Kurumi","raw_affiliation_strings":["Shiga University of Medical Science Shiga, JAPAN","SHIGA UNIVERSITY OF MEDICAL SCIENCE, Shiga, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shiga University of Medical Science Shiga, JAPAN","institution_ids":["https://openalex.org/I160046202","https://openalex.org/I171494771"]},{"raw_affiliation_string":"SHIGA UNIVERSITY OF MEDICAL SCIENCE, Shiga, Japan","institution_ids":["https://openalex.org/I160046202"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112426521","display_name":"Masaru Komori","orcid":null},"institutions":[{"id":"https://openalex.org/I160046202","display_name":"Shiga University of Medical Science","ror":"https://ror.org/00d8gp927","country_code":"JP","type":"education","lineage":["https://openalex.org/I160046202"]},{"id":"https://openalex.org/I171494771","display_name":"Shiga University","ror":"https://ror.org/01vvhy971","country_code":"JP","type":"education","lineage":["https://openalex.org/I171494771"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masaru Komori","raw_affiliation_strings":["Shiga University of Medical Science Shiga, JAPAN","SHIGA UNIVERSITY OF MEDICAL SCIENCE, Shiga, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shiga University of Medical Science Shiga, JAPAN","institution_ids":["https://openalex.org/I160046202","https://openalex.org/I171494771"]},{"raw_affiliation_string":"SHIGA UNIVERSITY OF MEDICAL SCIENCE, Shiga, Japan","institution_ids":["https://openalex.org/I160046202"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5912,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69277368,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"263","last_page":"266"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10916","display_name":"Surgical Simulation and Training","score":0.996999979019165,"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":0.996999979019165,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10888","display_name":"Augmented Reality Applications","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/knot-tying","display_name":"Knot tying","score":0.8059386014938354},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.69403076171875},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6912625432014465},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6762228608131409},{"id":"https://openalex.org/keywords/tying","display_name":"Tying","score":0.6314809322357178},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5934072732925415},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.5115026235580444},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.4303719997406006},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12175413966178894}],"concepts":[{"id":"https://openalex.org/C2992791134","wikidata":"https://www.wikidata.org/wiki/Q527395","display_name":"Knot tying","level":2,"score":0.8059386014938354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.69403076171875},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6912625432014465},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6762228608131409},{"id":"https://openalex.org/C2780938662","wikidata":"https://www.wikidata.org/wiki/Q973710","display_name":"Tying","level":2,"score":0.6314809322357178},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5934072732925415},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.5115026235580444},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.4303719997406006},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12175413966178894},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C141071460","wikidata":"https://www.wikidata.org/wiki/Q40821","display_name":"Surgery","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mva.2015.7153181","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mva.2015.7153181","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 14th IAPR International Conference on Machine Vision Applications (MVA)","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/W1606893336","https://openalex.org/W1872595613","https://openalex.org/W1910567995","https://openalex.org/W2072028093","https://openalex.org/W2073459066","https://openalex.org/W2099606917","https://openalex.org/W2124419806","https://openalex.org/W2160144863","https://openalex.org/W2160643963","https://openalex.org/W2160821342","https://openalex.org/W2802639730","https://openalex.org/W6996786098"],"related_works":["https://openalex.org/W2140915661","https://openalex.org/W2409790061","https://openalex.org/W1991441200","https://openalex.org/W2405981719","https://openalex.org/W1572345109","https://openalex.org/W2334343540","https://openalex.org/W2031306756","https://openalex.org/W2399726564","https://openalex.org/W2295452164","https://openalex.org/W266695027"],"abstract_inverted_index":{"We":[0,113],"propose":[1],"a":[2,18,27,118],"method":[3,116],"for":[4,9,34],"validating":[5],"surgical":[6],"knot-tying":[7,52,70],"motions":[8],"beginner's":[10],"self-training.":[11],"Our":[12],"system":[13,64,78,95],"observes":[14],"trainee's":[15],"hands":[16],"by":[17,45,56,82,105],"RGB-D":[19],"sensor":[20],"and":[21,72,97,124],"describes":[22],"the":[23,51,57,63,87,90,94,107,111],"point":[24],"cloud":[25],"as":[26],"SHOT":[28],"feature.":[29,112],"The":[30,48,60,77],"features":[31],"are":[32],"used":[33],"matching":[35,58,61],"an":[36,43],"input":[37,69],"image":[38],"sequence":[39],"to":[40,65,73],"that":[41],"of":[42,50,68,89,110,121],"expert":[44],"dynamic":[46],"programming.":[47],"type":[49,67],"motion":[53,71,119],"is":[54],"recognized":[55],"score.":[59],"enables":[62],"recognize":[66],"validate":[74],"each":[75,102],"frame.":[76],"specifies":[79],"inappropriate":[80,99,103],"frames":[81],"temporal":[83],"validation":[84],"based":[85],"on":[86,117],"difference":[88],"matched":[91],"frames.":[92],"Then":[93],"detects":[96],"shows":[98],"parts":[100],"in":[101],"frame":[104],"utilizing":[106],"spatial":[108],"structure":[109],"tested":[114],"our":[115],"dataset":[120],"novice":[122],"trainees":[123],"achieved":[125],"favorable":[126],"performance.":[127]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
