{"id":"https://openalex.org/W2515824486","doi":"https://doi.org/10.1109/icip.2016.7532923","title":"A multimedia gesture dataset for human robot communication: Acquisition, tools and recognition results","display_name":"A multimedia gesture dataset for human robot communication: Acquisition, tools and recognition results","publication_year":2016,"publication_date":"2016-08-17","ids":{"openalex":"https://openalex.org/W2515824486","doi":"https://doi.org/10.1109/icip.2016.7532923","mag":"2515824486"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2016.7532923","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532923","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","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/A5024885611","display_name":"Isidoros Rodomagoulakis","orcid":"https://orcid.org/0000-0003-0338-7418"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"I. Rodomagoulakis","raw_affiliation_strings":["School of ECE, National Technical University of Athens, Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of ECE, National Technical University of Athens, Athens, Greece","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112504006","display_name":"Nikolaos Kardaris","orcid":null},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"N. Kardaris","raw_affiliation_strings":["School of ECE, National Technical University of Athens, Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of ECE, National Technical University of Athens, Athens, Greece","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040922549","display_name":"Vassilis Pitsikalis","orcid":"https://orcid.org/0000-0002-1593-7491"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"V. Pitsikalis","raw_affiliation_strings":["School of ECE, National Technical University of Athens, Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of ECE, National Technical University of Athens, Athens, Greece","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113490480","display_name":"Alexander Arvanitakis","orcid":null},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"A. Arvanitakis","raw_affiliation_strings":["School of ECE, National Technical University of Athens, Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of ECE, National Technical University of Athens, Athens, Greece","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079243420","display_name":"Petros Maragos","orcid":"https://orcid.org/0000-0003-0534-2707"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"P. Maragos","raw_affiliation_strings":["School of ECE, National Technical University of Athens, Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of ECE, National Technical University of Athens, Athens, Greece","institution_ids":["https://openalex.org/I174458059"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I174458059"],"apc_list":null,"apc_paid":null,"fwci":0.4972,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.72371584,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3066","last_page":"3070"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9997000098228455,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9993000030517578,"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/computer-science","display_name":"Computer science","score":0.83931964635849},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.7861334085464478},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.6925846934318542},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6742304563522339},{"id":"https://openalex.org/keywords/suite","display_name":"Suite","score":0.6558952331542969},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.5586686730384827},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.5289685130119324},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.48359912633895874},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.46701580286026},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4491257667541504},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.441394567489624},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3469441831111908}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.83931964635849},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.7861334085464478},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.6925846934318542},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6742304563522339},{"id":"https://openalex.org/C79581498","wikidata":"https://www.wikidata.org/wiki/Q1367530","display_name":"Suite","level":2,"score":0.6558952331542969},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.5586686730384827},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.5289685130119324},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.48359912633895874},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.46701580286026},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4491257667541504},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.441394567489624},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3469441831111908},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2016.7532923","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532923","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","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":28,"referenced_works":["https://openalex.org/W22934434","https://openalex.org/W139095531","https://openalex.org/W619311409","https://openalex.org/W1588788171","https://openalex.org/W1871385855","https://openalex.org/W1981781955","https://openalex.org/W1991742273","https://openalex.org/W1993229407","https://openalex.org/W1995113806","https://openalex.org/W2013932759","https://openalex.org/W2016240821","https://openalex.org/W2049676008","https://openalex.org/W2098067140","https://openalex.org/W2105101328","https://openalex.org/W2108036388","https://openalex.org/W2126574503","https://openalex.org/W2126579184","https://openalex.org/W2142194269","https://openalex.org/W2157739355","https://openalex.org/W2163292664","https://openalex.org/W2221037208","https://openalex.org/W2398232863","https://openalex.org/W2547599103","https://openalex.org/W2951552696","https://openalex.org/W6600925687","https://openalex.org/W6635070415","https://openalex.org/W6639141586","https://openalex.org/W6729213900"],"related_works":["https://openalex.org/W2066003895","https://openalex.org/W2902873204","https://openalex.org/W2185750513","https://openalex.org/W2010878661","https://openalex.org/W3147379364","https://openalex.org/W2026258298","https://openalex.org/W3204639664","https://openalex.org/W2970836791","https://openalex.org/W2805039731","https://openalex.org/W2989699735"],"abstract_inverted_index":{"Motivated":[0],"by":[1,79],"the":[2,57,86,94,123],"recent":[3],"advances":[4],"in":[5,55,61,93],"human-robot":[6],"interaction":[7],"we":[8,117],"present":[9],"a":[10,13,72,80,98,119],"new":[11],"dataset,":[12],"suite":[14,82],"of":[15,83,122],"tools":[16,84],"to":[17,71,89,102],"handle":[18],"it":[19,78],"and":[20,26,39,65,106,110,127],"state-of-the-art":[21,99],"work":[22],"on":[23],"visual":[24,104],"gestures":[25],"audio":[27,107],"commands":[28],"recognition.":[29],"The":[30,50],"dataset":[31,51,124],"has":[32],"been":[33],"collected":[34],"with":[35],"an":[36,111],"integrated":[37],"annotation":[38],"acquisition":[40],"web-interface":[41],"that":[42],"facilitates":[43],"on-the-way":[44],"temporal":[45],"ground-truths":[46],"for":[47],"fast":[48],"acquisition.":[49],"includes":[52],"gesture":[53,105,113],"instances":[54],"which":[56],"subjects":[58],"are":[59],"not":[60,69],"strict":[62],"setup":[63],"positions,":[64],"contains":[66],"multiple":[67],"scenarios,":[68],"restricted":[70],"single":[73],"static":[74],"configuration.":[75],"We":[76],"accompany":[77],"valuable":[81],"as":[85],"practical":[87],"interface":[88],"acquire":[90],"audio-visual":[91],"data":[92],"robotic":[95],"operating":[96],"system,":[97],"learning":[100],"pipeline":[101],"train":[103],"command":[108],"models,":[109],"online":[112],"recognition":[114,130],"system.":[115],"Finally,":[116],"include":[118],"rich":[120,126],"evaluation":[121],"providing":[125],"insightfull":[128],"experimental":[129],"results.":[131]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}