{"id":"https://openalex.org/W2009343290","doi":"https://doi.org/10.1145/2658861.2658917","title":"Pointing gesture prediction using minimum-jerk model in human-robot interaction","display_name":"Pointing gesture prediction using minimum-jerk model in human-robot interaction","publication_year":2014,"publication_date":"2014-10-28","ids":{"openalex":"https://openalex.org/W2009343290","doi":"https://doi.org/10.1145/2658861.2658917","mag":"2009343290"},"language":"en","primary_location":{"id":"doi:10.1145/2658861.2658917","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2658861.2658917","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the second international conference on Human-agent interaction","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/A5027901966","display_name":"Ren Ohmura","orcid":"https://orcid.org/0000-0002-0373-4339"},"institutions":[{"id":"https://openalex.org/I136259955","display_name":"Toyohashi University of Technology","ror":"https://ror.org/04ezg6d83","country_code":"JP","type":"education","lineage":["https://openalex.org/I136259955"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ren Ohmura","raw_affiliation_strings":["Toyohashi University of Technology, Aichi, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Toyohashi University of Technology, Aichi, Japan","institution_ids":["https://openalex.org/I136259955"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004564192","display_name":"Yuki Kusano","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuki Kusano","raw_affiliation_strings":["ShinMaywa Soft Technologies, Ltd., Hyogo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ShinMaywa Soft Technologies, Ltd., Hyogo, Japan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067557183","display_name":"Yuta Suzuki","orcid":"https://orcid.org/0000-0001-8961-0988"},"institutions":[{"id":"https://openalex.org/I4210099619","display_name":"Tokai Rika (Japan)","ror":"https://ror.org/012gxwa15","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210099619"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuta Suzuki","raw_affiliation_strings":["Tokai Rika Co., Ltd., Aichi, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokai Rika Co., Ltd., Aichi, Japan","institution_ids":["https://openalex.org/I4210099619"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.09756197,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"181","last_page":"184"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9991000294685364,"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":0.9991000294685364,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9987999796867371,"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/T10982","display_name":"Motor Control and Adaptation","score":0.9965999722480774,"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/gesture","display_name":"Gesture","score":0.8886285424232483},{"id":"https://openalex.org/keywords/jerk","display_name":"Jerk","score":0.8094223737716675},{"id":"https://openalex.org/keywords/naturalness","display_name":"Naturalness","score":0.7088561654090881},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6655632257461548},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6324020624160767},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.585804283618927},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5476875901222229},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.5454627871513367},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.5357801914215088},{"id":"https://openalex.org/keywords/human\u2013robot-interaction","display_name":"Human\u2013robot interaction","score":0.5069503784179688},{"id":"https://openalex.org/keywords/smoothness","display_name":"Smoothness","score":0.4954327344894409},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13500285148620605},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06139913201332092}],"concepts":[{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.8886285424232483},{"id":"https://openalex.org/C181605269","wikidata":"https://www.wikidata.org/wiki/Q497332","display_name":"Jerk","level":3,"score":0.8094223737716675},{"id":"https://openalex.org/C134537474","wikidata":"https://www.wikidata.org/wiki/Q17144832","display_name":"Naturalness","level":2,"score":0.7088561654090881},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6655632257461548},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6324020624160767},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.585804283618927},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5476875901222229},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.5454627871513367},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.5357801914215088},{"id":"https://openalex.org/C145460709","wikidata":"https://www.wikidata.org/wiki/Q859951","display_name":"Human\u2013robot interaction","level":3,"score":0.5069503784179688},{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.4954327344894409},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13500285148620605},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06139913201332092},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2658861.2658917","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2658861.2658917","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the second international conference on Human-agent interaction","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1885639605","https://openalex.org/W2008293408","https://openalex.org/W2064527819","https://openalex.org/W2087770112","https://openalex.org/W2105407428","https://openalex.org/W2152329350"],"related_works":["https://openalex.org/W2029561777","https://openalex.org/W172797710","https://openalex.org/W3165080709","https://openalex.org/W2945105049","https://openalex.org/W2626699140","https://openalex.org/W2909357361","https://openalex.org/W4387098302","https://openalex.org/W4288365855","https://openalex.org/W2948317131","https://openalex.org/W2111961547"],"abstract_inverted_index":{"A":[0],"pointing":[1,16,37],"gesture":[2,21,38],"has":[3],"an":[4],"important":[5],"role":[6],"in":[7,22],"human-human":[8,23],"interaction.":[9],"From":[10],"our":[11,85],"observation,":[12],"we":[13],"predict":[14,35],"a":[15,29,32,48,75],"target":[17],"before":[18],"finishing":[19],"the":[20,40,44,55,65,72],"communication.":[24],"This":[25],"paper,":[26],"thus,":[27],"proposes":[28],"method":[30,73,86],"for":[31],"robot":[33,78],"to":[34,61],"human":[36],"using":[39],"minimum-jerk":[41],"model.":[42],"Analytically,":[43],"final":[45],"position":[46],"of":[47,64],"wrist":[49],"can":[50],"be":[51],"obtained":[52],"by":[53],"detecting":[54],"first":[56,62],"acceleration":[57],"peak,":[58],"which":[59],"corresponds":[60],"21\\%":[63],"entire":[66],"gesture.":[67],"We":[68],"implemented":[69],"and":[70,89],"evaluated":[71],"with":[74],"desktop":[76],"size":[77],"named":[79],"Robovie-W.":[80],"The":[81],"result":[82],"showed":[83],"that":[84],"improves":[87],"naturalness":[88],"smoothness.":[90]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
