{"id":"https://openalex.org/W7134976066","doi":"https://doi.org/10.48550/arxiv.2603.09741","title":"ENIGMA-360: An Ego-Exo Dataset for Human Behavior Understanding in Industrial Scenarios","display_name":"ENIGMA-360: An Ego-Exo Dataset for Human Behavior Understanding in Industrial Scenarios","publication_year":2026,"publication_date":"2026-03-10","ids":{"openalex":"https://openalex.org/W7134976066","doi":"https://doi.org/10.48550/arxiv.2603.09741"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.09741","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.09741","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.09741","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101496474","display_name":"Francesco Ragusa","orcid":"https://orcid.org/0000-0002-6368-1910"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ragusa, Francesco","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103083614","display_name":"Rosario Leonardi","orcid":"https://orcid.org/0009-0001-8693-3826"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Leonardi, Rosario","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032670827","display_name":"Michele Mazzamuto","orcid":"https://orcid.org/0009-0006-3466-5555"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mazzamuto, Michele","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039399759","display_name":"Daniele Di Mauro","orcid":"https://orcid.org/0000-0002-4286-2050"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Di Mauro, Daniele","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044427573","display_name":"Camillo Quattrocchi","orcid":"https://orcid.org/0000-0002-4999-8698"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Quattrocchi, Camillo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128739444","display_name":"Alessandro Passanisi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Passanisi, Alessandro","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115632615","display_name":"Irene D'Ambra","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"D'Ambra, Irene","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089549062","display_name":"Antonino Furnari","orcid":"https://orcid.org/0000-0001-6911-0302"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Furnari, Antonino","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5128778051","display_name":"Giovanni Maria Farinella","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Farinella, Giovanni Maria","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.8729000091552734,"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":0.8729000091552734,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.057500001043081284,"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/T10709","display_name":"Social Robot Interaction and HRI","score":0.018300000578165054,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/endocentric-and-exocentric","display_name":"Endocentric and exocentric","score":0.784600019454956},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5462999939918518},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.4968000054359436},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.4339999854564667},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.42989999055862427},{"id":"https://openalex.org/keywords/human-behavior","display_name":"Human behavior","score":0.35120001435279846}],"concepts":[{"id":"https://openalex.org/C131042201","wikidata":"https://www.wikidata.org/wiki/Q493198","display_name":"Endocentric and exocentric","level":4,"score":0.784600019454956},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6916000247001648},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5462999939918518},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5242999792098999},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.4968000054359436},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.43779999017715454},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.4339999854564667},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.42989999055862427},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36959999799728394},{"id":"https://openalex.org/C117035363","wikidata":"https://www.wikidata.org/wiki/Q3769299","display_name":"Human behavior","level":2,"score":0.35120001435279846},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2897999882698059},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2874000072479248},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2824000120162964},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.26109999418258667},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.2540000081062317}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.09741","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.09741","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.09741","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.09741","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Understanding":[0],"human":[1,104,118],"behavior":[2,105,119],"from":[3],"complementary":[4,80],"egocentric":[5,71],"(ego)":[6],"and":[7,25,72,94,128,165],"exocentric":[8,74],"(exo)":[9],"points":[10],"of":[11,16,39,69,82,100,103,137,153],"view":[12],"enables":[13],"the":[14,37,83,98,135,147,163],"development":[15],"systems":[17],"that":[18],"can":[19],"support":[20],"workers":[21],"in":[22,31,44,60,106,157],"industrial":[23,46,63,107],"environments":[24],"enhance":[26],"their":[27],"safety.":[28],"However,":[29],"progress":[30],"this":[32,50,141],"area":[33],"is":[34,67],"hindered":[35],"by":[36],"lack":[38],"datasets":[40],"capturing":[41],"both":[42],"views":[43],"realistic":[45],"scenarios.":[47],"To":[48],"address":[49],"gap,":[51],"we":[52],"propose":[53],"ENIGMA-360,":[54],"a":[55,61],"new":[56,150],"ego-exo":[57,155],"dataset":[58,66,164],"acquired":[59],"real":[62],"scenario.":[64,143],"The":[65,86],"composed":[68],"180":[70,73],"procedural":[75],"videos":[76,88],"temporally":[77],"synchronized":[78],"offering":[79],"information":[81],"same":[84],"scene.":[85],"360":[87],"have":[89],"been":[90],"labeled":[91],"with":[92],"temporal":[93],"spatial":[95],"annotations,":[96],"enabling":[97],"study":[99],"different":[101],"aspects":[102],"domain.":[108],"We":[109,160],"provide":[110],"baseline":[111],"experiments":[112],"for":[113,117,149],"3":[114],"foundational":[115],"tasks":[116],"understanding:":[120],"1)":[121],"Temporal":[122],"Action":[123],"Segmentation,":[124],"2)":[125],"Keystep":[126],"Recognition":[127],"3)":[129],"Egocentric":[130],"Human-Object":[131],"Interaction":[132],"Detection,":[133],"showing":[134],"limits":[136],"state-of-the-art":[138],"approaches":[139],"on":[140],"challenging":[142],"These":[144],"results":[145],"highlight":[146],"need":[148],"models":[151],"capable":[152],"robust":[154],"understanding":[156],"real-world":[158],"environments.":[159],"publicly":[161],"release":[162],"its":[166],"annotations":[167],"at":[168],"https://fpv-iplab.github.io/ENIGMA-360/.":[169]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-12T00:00:00"}