{"id":"https://openalex.org/W2743285007","doi":"https://doi.org/10.1145/3106426.3106526","title":"Zero-shot human activity recognition via nonlinear compatibility based method","display_name":"Zero-shot human activity recognition via nonlinear compatibility based method","publication_year":2017,"publication_date":"2017-08-10","ids":{"openalex":"https://openalex.org/W2743285007","doi":"https://doi.org/10.1145/3106426.3106526","mag":"2743285007"},"language":"en","primary_location":{"id":"doi:10.1145/3106426.3106526","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3106426.3106526","pdf_url":null,"source":{"id":"https://openalex.org/S4306524158","display_name":"Proceedings of the International Conference on Web Intelligence","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":"Proceedings of the International Conference on Web Intelligence","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/A5100391726","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0001-7283-8652"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100382077","display_name":"Chunyan Miao","orcid":"https://orcid.org/0000-0002-0300-3448"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Chunyan Miao","raw_affiliation_strings":["Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005135214","display_name":"Shuji Hao","orcid":"https://orcid.org/0000-0003-3607-6317"},"institutions":[{"id":"https://openalex.org/I3004594783","display_name":"Institute of High Performance Computing","ror":"https://ror.org/02n0ejh50","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3004594783","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Shuji Hao","raw_affiliation_strings":["Institute of High Performance Computing, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of High Performance Computing, Singapore","institution_ids":["https://openalex.org/I3004594783"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5894,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.79744631,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"322","last_page":"330"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9998000264167786,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9998000264167786,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.996399998664856,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9815999865531921,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.716016948223114},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6859987378120422},{"id":"https://openalex.org/keywords/compatibility","display_name":"Compatibility (geochemistry)","score":0.6735103130340576},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5915948748588562},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5110400915145874},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49648767709732056},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48364269733428955},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.46230071783065796},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.102755606174469}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.716016948223114},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6859987378120422},{"id":"https://openalex.org/C2778648169","wikidata":"https://www.wikidata.org/wiki/Q967768","display_name":"Compatibility (geochemistry)","level":2,"score":0.6735103130340576},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5915948748588562},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5110400915145874},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49648767709732056},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48364269733428955},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.46230071783065796},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.102755606174469},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3106426.3106526","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3106426.3106526","pdf_url":null,"source":{"id":"https://openalex.org/S4306524158","display_name":"Proceedings of the International Conference on Web Intelligence","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":"Proceedings of the International Conference on Web Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.8600000143051147,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W27961112","https://openalex.org/W652269744","https://openalex.org/W1703030490","https://openalex.org/W1968197118","https://openalex.org/W1998970979","https://openalex.org/W2001058334","https://openalex.org/W2017393982","https://openalex.org/W2023302299","https://openalex.org/W2024523156","https://openalex.org/W2026297770","https://openalex.org/W2044913453","https://openalex.org/W2050230532","https://openalex.org/W2051167698","https://openalex.org/W2059094808","https://openalex.org/W2059732136","https://openalex.org/W2064851185","https://openalex.org/W2087469646","https://openalex.org/W2099336098","https://openalex.org/W2103388129","https://openalex.org/W2109317801","https://openalex.org/W2126511896","https://openalex.org/W2145215286","https://openalex.org/W2146502635","https://openalex.org/W2150295085","https://openalex.org/W2151575489","https://openalex.org/W2288074780","https://openalex.org/W2289084343","https://openalex.org/W2328434568","https://openalex.org/W2334493732","https://openalex.org/W2344284192","https://openalex.org/W2384495648","https://openalex.org/W2398118205","https://openalex.org/W2516027932","https://openalex.org/W2607662938","https://openalex.org/W2766642606","https://openalex.org/W2951538594","https://openalex.org/W2962714319","https://openalex.org/W3100093508","https://openalex.org/W3120740533"],"related_works":["https://openalex.org/W2390255551","https://openalex.org/W2367511445","https://openalex.org/W2381930792","https://openalex.org/W2358901819","https://openalex.org/W745733672","https://openalex.org/W2983545107","https://openalex.org/W2389102290","https://openalex.org/W2094745766","https://openalex.org/W233026431","https://openalex.org/W2379069623"],"abstract_inverted_index":{"Human":[0],"activity":[1,114],"recognition":[2,115],"aims":[3],"to":[4,46,78],"recognize":[5,20],"human":[6,113],"activities":[7,21,32,80],"from":[8],"sensor":[9],"readings.":[10],"Most":[11],"of":[12,50,89],"existing":[13],"methods":[14,111],"in":[15,23,27,112],"this":[16,37,72],"area":[17],"can":[18],"only":[19],"contained":[22],"training":[24],"dataset.":[25],"However,":[26],"practical":[28],"applications,":[29],"previously":[30,52],"unseen":[31,53,79],"are":[33,76],"often":[34],"encountered.":[35],"In":[36],"paper,":[38],"we":[39,93],"propose":[40],"a":[41,59],"new":[42],"zero-shot":[43],"learning":[44],"method":[45,57,107],"solve":[47],"the":[48,87,90],"problem":[49],"recognizing":[51],"activities.":[54],"The":[55],"proposed":[56,91,106],"learns":[58],"nonlinear":[60],"compatibility":[61,83],"function":[62],"between":[63],"feature":[64],"space":[65,69],"instances":[66,75],"and":[67],"semantic":[68],"prototypes.":[70],"With":[71],"function,":[73],"testing":[74],"classified":[77],"with":[81],"highest":[82],"scores.":[84],"To":[85],"evaluate":[86],"effectiveness":[88],"method,":[92],"conduct":[94],"extensive":[95],"experiments":[96],"on":[97],"three":[98],"public":[99],"datasets.":[100],"Experimental":[101],"results":[102],"show":[103],"that":[104],"our":[105],"consistently":[108],"outperforms":[109],"state-of-the-art":[110],"problems.":[116]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}