{"id":"https://openalex.org/W2129389888","doi":"https://doi.org/10.1109/icpr.2002.1048308","title":"Hierarchical interpretation of human activities using competitive learning","display_name":"Hierarchical interpretation of human activities using competitive learning","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2129389888","doi":"https://doi.org/10.1109/icpr.2002.1048308","mag":"2129389888"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2002.1048308","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1048308","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object recognition supported by user interaction for service robots","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/A5058156010","display_name":"Harry Wechsler","orcid":"https://orcid.org/0000-0002-5454-8819"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"H. Wechsler","raw_affiliation_strings":["Department of Computer Science, George Mason University, Fairfax, VA, USA","Department of Computer Science, George Mason University , Fairfax, VA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, George Mason University, Fairfax, VA, USA","institution_ids":["https://openalex.org/I162714631"]},{"raw_affiliation_string":"Department of Computer Science, George Mason University , Fairfax, VA, USA","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Z. Duric","orcid":null},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Z. Duric","raw_affiliation_strings":["Department of Computer Science, George Mason University, Fairfax, VA, USA","Department of Computer Science, George Mason University , Fairfax, VA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, George Mason University, Fairfax, VA, USA","institution_ids":["https://openalex.org/I162714631"]},{"raw_affiliation_string":"Department of Computer Science, George Mason University , Fairfax, VA, USA","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034449393","display_name":"Fayin Li","orcid":null},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fayin Li","raw_affiliation_strings":["Department of Computer Science, George Mason University, Fairfax, VA, USA","Department of Computer Science, George Mason University , Fairfax, VA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, George Mason University, Fairfax, VA, USA","institution_ids":["https://openalex.org/I162714631"]},{"raw_affiliation_string":"Department of Computer Science, George Mason University , Fairfax, VA, USA","institution_ids":["https://openalex.org/I162714631"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5058156010"],"corresponding_institution_ids":["https://openalex.org/I162714631"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.16754757,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"338","last_page":"341"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9994999766349792,"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":0.9968000054359436,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6866584420204163},{"id":"https://openalex.org/keywords/learning-vector-quantization","display_name":"Learning vector quantization","score":0.6549065709114075},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6364583969116211},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6327263712882996},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6035293340682983},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.486374169588089},{"id":"https://openalex.org/keywords/homogeneity","display_name":"Homogeneity (statistics)","score":0.48343977332115173},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46179983019828796},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45661303400993347},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.45416077971458435},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2559449076652527}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6866584420204163},{"id":"https://openalex.org/C40567965","wikidata":"https://www.wikidata.org/wiki/Q1820283","display_name":"Learning vector quantization","level":3,"score":0.6549065709114075},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6364583969116211},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6327263712882996},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6035293340682983},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.486374169588089},{"id":"https://openalex.org/C142259097","wikidata":"https://www.wikidata.org/wiki/Q5891314","display_name":"Homogeneity (statistics)","level":2,"score":0.48343977332115173},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46179983019828796},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45661303400993347},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.45416077971458435},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2559449076652527},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2002.1048308","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1048308","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object recognition supported by user interaction for service robots","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6700000166893005,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W161252519","https://openalex.org/W1679913846","https://openalex.org/W2098500169","https://openalex.org/W2121899951","https://openalex.org/W2167072892","https://openalex.org/W2406457571","https://openalex.org/W4213332169","https://openalex.org/W4234476655","https://openalex.org/W6606574142"],"related_works":["https://openalex.org/W2100968651","https://openalex.org/W4243803532","https://openalex.org/W1530525041","https://openalex.org/W2352648934","https://openalex.org/W4230688072","https://openalex.org/W1915693853","https://openalex.org/W2378212145","https://openalex.org/W2798892016","https://openalex.org/W2100492357","https://openalex.org/W2202992072"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"describe":[4],"a":[5],"method":[6],"of":[7,31,89,98],"learning":[8,25],"hierarchical":[9],"representations":[10],"for":[11],"describing":[12],"and":[13,19,86,106],"recognizing":[14],"gestures":[15],"expressed":[16],"as":[17],"one":[18,105],"two":[20,107],"arm":[21,108],"movements":[22],"using":[23,49,67,78],"competitive":[24],"methods.":[26],"At":[27,54],"the":[28,32,34,55,59,84,87],"low":[29],"end":[30],"hierarchy,":[33],"atomic":[35,60],"motions":[36,61],"(\"letters\")":[37],"corresponding":[38,102],"to":[39,103],"flowfields":[40],"computed":[41],"from":[42],"successive":[43],"color":[44],"image":[45],"frames":[46,101],"are":[47,62],"derived":[48],"Learning":[50],"Vector":[51],"Quantization":[52],"(LVQ).":[53],"next":[56],"intermediate":[57],"level,":[58],"clustered":[63],"into":[64,75],"actions":[65,74],"(\"words\")":[66],"homogeneity":[68],"criteria.":[69],"The":[70],"highest":[71],"level":[72],"combines":[73],"activities":[76],"(\"sentences\")":[77],"proximity":[79],"driven":[80],"clustering.":[81],"We":[82],"demonstrate":[83],"feasibility":[85],"robustness":[88],"our":[90],"approach":[91],"on":[92],"real":[93],"color-image":[94],"sequences,":[95],"each":[96],"consisting":[97],"several":[99],"hundred":[100],"dynamic":[104],"movements.":[109]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-25T23:56:10.502304","created_date":"2025-10-10T00:00:00"}
