{"id":"https://openalex.org/W4312394661","doi":"https://doi.org/10.1109/icpr56361.2022.9956300","title":"HRI30: An Action Recognition Dataset for Industrial Human-Robot Interaction","display_name":"HRI30: An Action Recognition Dataset for Industrial Human-Robot Interaction","publication_year":2022,"publication_date":"2022-08-21","ids":{"openalex":"https://openalex.org/W4312394661","doi":"https://doi.org/10.1109/icpr56361.2022.9956300"},"language":"en","primary_location":{"id":"doi:10.1109/icpr56361.2022.9956300","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr56361.2022.9956300","pdf_url":null,"source":{"id":"https://openalex.org/S4363607731","display_name":"2022 26th International Conference on Pattern Recognition (ICPR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 26th International Conference on Pattern Recognition (ICPR)","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/A5103235482","display_name":"Francesco Iodice","orcid":"https://orcid.org/0000-0002-5918-2422"},"institutions":[{"id":"https://openalex.org/I30771326","display_name":"Italian Institute of Technology","ror":"https://ror.org/042t93s57","country_code":"IT","type":"facility","lineage":["https://openalex.org/I30771326"]},{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Francesco Iodice","raw_affiliation_strings":["Human-Robot Interfaces and Physical Interaction HRI2 Lab of Istituto Italiano di Tecnologia (IIT),Genoa,Italy","Human-Robot Interfaces and Physical Interaction HRI2 Lab of Istituto Italiano di Tecnologia (IIT), Genoa, Italy","Department of Electronics, Information, and Bioengineering, Politecnico di Milano, Milan, Italy"],"affiliations":[{"raw_affiliation_string":"Human-Robot Interfaces and Physical Interaction HRI2 Lab of Istituto Italiano di Tecnologia (IIT),Genoa,Italy","institution_ids":["https://openalex.org/I30771326"]},{"raw_affiliation_string":"Human-Robot Interfaces and Physical Interaction HRI2 Lab of Istituto Italiano di Tecnologia (IIT), Genoa, Italy","institution_ids":["https://openalex.org/I30771326"]},{"raw_affiliation_string":"Department of Electronics, Information, and Bioengineering, Politecnico di Milano, Milan, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083795699","display_name":"Elena De Momi","orcid":"https://orcid.org/0000-0002-8819-2734"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Elena De Momi","raw_affiliation_strings":["Politecnico di Milano,Department of Electronics, Information, and Bioengineering,Milan,Italy","Department of Electronics, Information, and Bioengineering, Politecnico di Milano, Milan, Italy"],"affiliations":[{"raw_affiliation_string":"Politecnico di Milano,Department of Electronics, Information, and Bioengineering,Milan,Italy","institution_ids":["https://openalex.org/I93860229"]},{"raw_affiliation_string":"Department of Electronics, Information, and Bioengineering, Politecnico di Milano, Milan, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070028115","display_name":"Arash Ajoudani","orcid":"https://orcid.org/0000-0002-1261-737X"},"institutions":[{"id":"https://openalex.org/I30771326","display_name":"Italian Institute of Technology","ror":"https://ror.org/042t93s57","country_code":"IT","type":"facility","lineage":["https://openalex.org/I30771326"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Arash Ajoudani","raw_affiliation_strings":["Human-Robot Interfaces and Physical Interaction HRI2 Lab of Istituto Italiano di Tecnologia (IIT),Genoa,Italy","Human-Robot Interfaces and Physical Interaction HRI2 Lab of Istituto Italiano di Tecnologia (IIT), Genoa, Italy"],"affiliations":[{"raw_affiliation_string":"Human-Robot Interfaces and Physical Interaction HRI2 Lab of Istituto Italiano di Tecnologia (IIT),Genoa,Italy","institution_ids":["https://openalex.org/I30771326"]},{"raw_affiliation_string":"Human-Robot Interfaces and Physical Interaction HRI2 Lab of Istituto Italiano di Tecnologia (IIT), Genoa, Italy","institution_ids":["https://openalex.org/I30771326"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103235482"],"corresponding_institution_ids":["https://openalex.org/I30771326","https://openalex.org/I93860229"],"apc_list":null,"apc_paid":null,"fwci":1.2582,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.86529454,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"4941","last_page":"4947"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":1.0,"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":1.0,"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":0.9980999827384949,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.714394211769104},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.6574297547340393},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.624207615852356},{"id":"https://openalex.org/keywords/human\u2013robot-interaction","display_name":"Human\u2013robot interaction","score":0.6170669794082642},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5809404850006104},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5227097272872925},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4240190088748932}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.714394211769104},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.6574297547340393},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.624207615852356},{"id":"https://openalex.org/C145460709","wikidata":"https://www.wikidata.org/wiki/Q859951","display_name":"Human\u2013robot interaction","level":3,"score":0.6170669794082642},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5809404850006104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5227097272872925},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4240190088748932},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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":2,"locations":[{"id":"doi:10.1109/icpr56361.2022.9956300","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr56361.2022.9956300","pdf_url":null,"source":{"id":"https://openalex.org/S4363607731","display_name":"2022 26th International Conference on Pattern Recognition (ICPR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 26th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:re.public.polimi.it:11311/1228204","is_oa":false,"landing_page_url":"https://hdl.handle.net/11311/1228204","pdf_url":null,"source":{"id":"https://openalex.org/S4306400312","display_name":"Virtual Community of Pathological Anatomy (University of Castilla La Mancha)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79189158","host_organization_name":"University of Castilla-La Mancha","host_organization_lineage":["https://openalex.org/I79189158"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5799999833106995}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W24089286","https://openalex.org/W1487977235","https://openalex.org/W1498368596","https://openalex.org/W1927052826","https://openalex.org/W1981781955","https://openalex.org/W2010399676","https://openalex.org/W2016053056","https://openalex.org/W2017695267","https://openalex.org/W2078046413","https://openalex.org/W2101194540","https://openalex.org/W2108598243","https://openalex.org/W2142194269","https://openalex.org/W2144380653","https://openalex.org/W2167626157","https://openalex.org/W2194775991","https://openalex.org/W2507009361","https://openalex.org/W2523246573","https://openalex.org/W2524365899","https://openalex.org/W2619947201","https://openalex.org/W2625366777","https://openalex.org/W2765218414","https://openalex.org/W2984287396","https://openalex.org/W2990503944","https://openalex.org/W2996937600","https://openalex.org/W3111103913","https://openalex.org/W4249279051","https://openalex.org/W6600983433","https://openalex.org/W6724944384","https://openalex.org/W6727249380","https://openalex.org/W6955071965"],"related_works":["https://openalex.org/W1576128429","https://openalex.org/W2978665606","https://openalex.org/W4287179229","https://openalex.org/W3205513966","https://openalex.org/W3120459843","https://openalex.org/W4366547574","https://openalex.org/W2269464716","https://openalex.org/W3200191727","https://openalex.org/W189465620","https://openalex.org/W4366818884"],"abstract_inverted_index":{"Over":[0],"the":[1,43,68,81,114,121,156],"past":[2],"years,":[3],"action":[4,86,107],"recognition":[5,87],"techniques":[6],"have":[7],"gained":[8],"significant":[9],"attention":[10],"in":[11,20,42,59,146],"computer":[12],"vision":[13],"and":[14,28,71,96,110,116,132],"robotics":[15],"research.":[16],"Nevertheless,":[17],"their":[18],"performances":[19],"realistic":[21],"applications,":[22],"despite":[23],"dedicated":[24,65],"efforts":[25],"to":[26,40,50,67],"collect":[27],"annotate":[29],"medium/large":[30],"datasets,":[31],"remain":[32],"far":[33],"from":[34,88],"satisfactory,":[35],"especially":[36],"when":[37],"it":[38,112],"comes":[39],"applications":[41],"field":[44],"of":[45,80,93,128],"human-robot":[46,72],"collaboration.":[47,73],"In":[48],"response":[49],"this":[51,138],"shortfall,":[52],"we":[53,75],"create":[54],"a":[55,126],"dataset":[56,104,139,151],"not":[57],"dispersive":[58],"its":[60],"classes":[61],"but":[62],"sectoral,":[63],"i.e.,":[64],"exclusively":[66],"industrial":[69,85,148],"environment":[70],"Specifically,":[74],"describe":[76],"our":[77,103],"ongoing":[78],"collection":[79],"\u2019HRI30\u2019":[82],"database":[83],"for":[84],"videos,":[89],"containing":[90],"30":[91],"categories":[92],"industrial-like":[94],"actions":[95,145],"2940":[97],"manually":[98],"annotated":[99],"clips.":[100],"We":[101,124],"test":[102],"on":[105],"multiple":[106],"detection":[108],"approaches":[109],"compare":[111],"with":[113],"HMDB51":[115],"UCF101":[117],"public":[118],"datasets":[119],"using":[120],"best-performing":[122],"approach.":[123],"define":[125],"baseline":[127],"86.55%":[129],"Top-1":[130],"accuracy":[131],"99.76%":[133],"Top-5":[134],"accuracy,":[135],"hoping":[136],"that":[137],"will":[140],"encourage":[141],"research":[142],"towards":[143],"understanding":[144],"collaborative":[147],"scenarios.":[149],"The":[150],"can":[152],"be":[153],"downloaded":[154],"at":[155],"following":[157],"link:":[158],"10.5281/zenodo.5833411":[159]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}