{"id":"https://openalex.org/W4319302601","doi":"https://doi.org/10.1109/thms.2023.3239648","title":"Intent Prediction in Human\u2013Human Interactions","display_name":"Intent Prediction in Human\u2013Human Interactions","publication_year":2023,"publication_date":"2023-02-06","ids":{"openalex":"https://openalex.org/W4319302601","doi":"https://doi.org/10.1109/thms.2023.3239648"},"language":"en","primary_location":{"id":"doi:10.1109/thms.2023.3239648","is_oa":false,"landing_page_url":"https://doi.org/10.1109/thms.2023.3239648","pdf_url":null,"source":{"id":"https://openalex.org/S2476799526","display_name":"IEEE Transactions on Human-Machine Systems","issn_l":"2168-2291","issn":["2168-2291","2168-2305"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Human-Machine Systems","raw_type":"journal-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/A5004161054","display_name":"Murchana Baruah","orcid":null},"institutions":[{"id":"https://openalex.org/I94658018","display_name":"University of Memphis","ror":"https://ror.org/01cq23130","country_code":"US","type":"education","lineage":["https://openalex.org/I94658018"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Murchana Baruah","raw_affiliation_strings":["Institute for Intelligent Systems, and the Department of Electrical and Computer Engineering, University of Memphis, Memphis, TN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Intelligent Systems, and the Department of Electrical and Computer Engineering, University of Memphis, Memphis, TN, USA","institution_ids":["https://openalex.org/I94658018"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037623995","display_name":"Bonny Banerjee","orcid":"https://orcid.org/0000-0002-0428-1044"},"institutions":[{"id":"https://openalex.org/I94658018","display_name":"University of Memphis","ror":"https://ror.org/01cq23130","country_code":"US","type":"education","lineage":["https://openalex.org/I94658018"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bonny Banerjee","raw_affiliation_strings":["Institute for Intelligent Systems, and the Department of Electrical and Computer Engineering, University of Memphis, Memphis, TN, USA"],"raw_orcid":"https://orcid.org/0000-0002-0428-1044","affiliations":[{"raw_affiliation_string":"Institute for Intelligent Systems, and the Department of Electrical and Computer Engineering, University of Memphis, Memphis, TN, USA","institution_ids":["https://openalex.org/I94658018"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081696143","display_name":"Atulya K. Nagar","orcid":"https://orcid.org/0000-0001-5549-6435"},"institutions":[{"id":"https://openalex.org/I44852757","display_name":"Liverpool Hope University","ror":"https://ror.org/03ctjbj91","country_code":"GB","type":"education","lineage":["https://openalex.org/I44852757"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Atulya K. Nagar","raw_affiliation_strings":["School of Mathematics, Computer Science and Engineering, Liverpool Hope University, Hope Park, Liverpool, U.K"],"raw_orcid":"https://orcid.org/0000-0001-5549-6435","affiliations":[{"raw_affiliation_string":"School of Mathematics, Computer Science and Engineering, Liverpool Hope University, Hope Park, Liverpool, U.K","institution_ids":["https://openalex.org/I44852757"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9704,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.72711995,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"53","issue":"2","first_page":"458","last_page":"463"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9993000030517578,"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"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9959999918937683,"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":0.7495384216308594},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6654224395751953},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6127177476882935},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5626046061515808},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5276675820350647},{"id":"https://openalex.org/keywords/skeleton","display_name":"Skeleton (computer programming)","score":0.505336344242096},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.484872430562973},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.4650247097015381},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45353177189826965},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4288971722126007},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.194520503282547}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7495384216308594},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6654224395751953},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6127177476882935},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5626046061515808},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5276675820350647},{"id":"https://openalex.org/C18969341","wikidata":"https://www.wikidata.org/wiki/Q1169129","display_name":"Skeleton (computer programming)","level":2,"score":0.505336344242096},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.484872430562973},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.4650247097015381},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45353177189826965},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4288971722126007},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.194520503282547},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"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/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/thms.2023.3239648","is_oa":false,"landing_page_url":"https://doi.org/10.1109/thms.2023.3239648","pdf_url":null,"source":{"id":"https://openalex.org/S2476799526","display_name":"IEEE Transactions on Human-Machine Systems","issn_l":"2168-2291","issn":["2168-2291","2168-2305"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Human-Machine Systems","raw_type":"journal-article"},{"id":"pmh:oai:hira.hope.ac.uk:3778","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402035","display_name":"Hope's Institutional Research Archive (Liverpool Hope University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I44852757","host_organization_name":"Liverpool Hope University","host_organization_lineage":["https://openalex.org/I44852757"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","score":0.6700000166893005,"id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1959608418","https://openalex.org/W2012107333","https://openalex.org/W2038225875","https://openalex.org/W2058256495","https://openalex.org/W2086760936","https://openalex.org/W2099320314","https://openalex.org/W2169662424","https://openalex.org/W2577946330","https://openalex.org/W2588161617","https://openalex.org/W2593239008","https://openalex.org/W2604906478","https://openalex.org/W2617510024","https://openalex.org/W2716916105","https://openalex.org/W2766836212","https://openalex.org/W2794141136","https://openalex.org/W2798952702","https://openalex.org/W2883171562","https://openalex.org/W2884286326","https://openalex.org/W2887681367","https://openalex.org/W2923181798","https://openalex.org/W2963369114","https://openalex.org/W3009779978","https://openalex.org/W3025507095","https://openalex.org/W3035367723","https://openalex.org/W3036567974","https://openalex.org/W3094459042","https://openalex.org/W3205833998","https://openalex.org/W4319068967","https://openalex.org/W6617744952","https://openalex.org/W6640963894","https://openalex.org/W6675944832","https://openalex.org/W6732248266","https://openalex.org/W6735888532","https://openalex.org/W6738445818","https://openalex.org/W6740217080","https://openalex.org/W6748455135"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W972276598","https://openalex.org/W2087343574","https://openalex.org/W4246352526","https://openalex.org/W2121910908"],"abstract_inverted_index":{"The":[0,57,103],"human":[1],"ability":[2,18],"to":[3,11,15,93,211],"infer":[4],"others'":[5],"intent":[6,35,218],"is":[7,105,119,138,170,205],"innate":[8],"and":[9,44,79,100,123,133,142,223],"crucial":[10],"development.":[12],"Machines":[13],"ought":[14],"acquire":[16],"this":[17,25],"for":[19,32,51,155,217],"seamless":[20],"interaction":[21],"with":[22,220],"humans.":[23],"In":[24],"article,":[26],"we":[27],"propose":[28],"an":[29,47,136],"agent":[30,59,122,141,210],"model":[31,74,104,202],"predicting":[33],"the":[34,73,76,81,88,98,120,124,139,143,157,177,190,196,206],"of":[36,46,67,90,109,166,189,201],"actors":[37],"in":[38,181,199],"human\u2013human":[39],"interactions.":[40],"This":[41,204],"requiressimultaneous":[42],"generation":[43,101],"recognition":[45],"interactionat":[48],"any":[49],"time,":[50],"which":[52],"end-to-end":[53,213],"models":[54],"are":[55,160],"scarce.":[56],"proposed":[58],"actively":[60],"samples":[61],"its":[62,130,150],"environment":[63],"via":[64],"a":[65],"sequence":[66,89],"glimpses.":[68],"At":[69],"each":[70],"sampling":[71,185],"instant,":[72],"infers":[75],"observation":[77],"class":[78],"completes":[80],"partially":[82],"observed":[83],"body":[84,91],"motion.":[85],"It":[86],"learns":[87],"locations":[92],"sample":[94],"by":[95,172,184],"jointly":[96],"minimizing":[97],"classification":[99,179],"errors.":[102],"evaluated":[106],"on":[107],"videos":[108],"two-skeleton":[110],"interactions":[111,216],"under":[112],"two":[113,144],"settings:":[114],"(first":[115],"person)":[116,135],"one":[117],"skeleton":[118,191],"modeled":[121,140],"other":[125],"skeleton's":[126],"joint":[127,147],"movements":[128,148],"constitute":[129,149],"visual":[131,151],"observation,":[132],"(third":[134],"audience":[137],"interacting":[145],"skeletons'":[146],"observation.":[152],"Three":[153],"methods":[154],"implementing":[156],"attention":[158,169],"mechanism":[159],"analyzed":[161],"using":[162],"benchmark":[163],"datasets.":[164],"One":[165],"them,":[167],"where":[168],"driven":[171],"sensory":[173],"prediction":[174],"error,":[175],"achieves":[176],"highest":[178],"accuracy":[180,222],"both":[182],"settings":[183],"less":[186],"than":[187],"50%":[188],"joints,":[192],"while":[193],"also":[194],"being":[195],"most":[197],"efficient":[198],"terms":[200],"size.":[203],"first":[207],"known":[208],"attention-based":[209],"learn":[212],"from":[214],"two-person":[215],"prediction,":[219],"high":[221],"efficiency.":[224]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
