{"id":"https://openalex.org/W4310971794","doi":"https://doi.org/10.1109/iecon49645.2022.9968781","title":"Temporal-spatial Feature Fusion for Few-shot Skeleton-based Action Recognition","display_name":"Temporal-spatial Feature Fusion for Few-shot Skeleton-based Action Recognition","publication_year":2022,"publication_date":"2022-10-17","ids":{"openalex":"https://openalex.org/W4310971794","doi":"https://doi.org/10.1109/iecon49645.2022.9968781"},"language":"en","primary_location":{"id":"doi:10.1109/iecon49645.2022.9968781","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon49645.2022.9968781","pdf_url":null,"source":{"id":"https://openalex.org/S4363607717","display_name":"IECON 2022 \u2013 48th Annual Conference of the IEEE Industrial Electronics Society","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":"IECON 2022 \u2013 48th Annual Conference of the IEEE Industrial Electronics Society","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/A5042936784","display_name":"Leiyang Xu","orcid":"https://orcid.org/0000-0003-3452-047X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Leiyang Xu","raw_affiliation_strings":["Harbin Institute of Technology,Department of Control Science and Engineering,Harbin,China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Department of Control Science and Engineering,Harbin,China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100366955","display_name":"Qiang Wang","orcid":"https://orcid.org/0000-0002-2018-1764"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Wang","raw_affiliation_strings":["Harbin Institute of Technology,Department of Control Science and Engineering,Harbin,China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Department of Control Science and Engineering,Harbin,China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030809912","display_name":"Xiaotian Lin","orcid":"https://orcid.org/0000-0001-6945-9408"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaotian Lin","raw_affiliation_strings":["Harbin Institute of Technology,Department of Control Science and Engineering,Harbin,China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Department of Control Science and Engineering,Harbin,China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115604867","display_name":"Lin Yuan","orcid":"https://orcid.org/0000-0002-5779-453X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Yuan","raw_affiliation_strings":["Harbin Institute of Technology,Department of Control Science and Engineering,Harbin,China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Department of Control Science and Engineering,Harbin,China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102986324","display_name":"Xiang Ma","orcid":"https://orcid.org/0000-0003-1635-8560"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Ma","raw_affiliation_strings":["Harbin Institute of Technology,Department of Control Science and Engineering,Harbin,China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Department of Control Science and Engineering,Harbin,China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5042936784"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12327107,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998999834060669,"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":0.9998999834060669,"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"}},{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9944999814033508,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7667684555053711},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7389539480209351},{"id":"https://openalex.org/keywords/dynamic-time-warping","display_name":"Dynamic time warping","score":0.7027041912078857},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7004179358482361},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5570244193077087},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.550438642501831},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.529103696346283},{"id":"https://openalex.org/keywords/distance-matrix","display_name":"Distance matrix","score":0.524467945098877},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5217210054397583},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5148181319236755},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4751710295677185},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4583349823951721},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.45172637701034546},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4453323483467102},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15852844715118408},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13564544916152954}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7667684555053711},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7389539480209351},{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.7027041912078857},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7004179358482361},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5570244193077087},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.550438642501831},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.529103696346283},{"id":"https://openalex.org/C111208986","wikidata":"https://www.wikidata.org/wiki/Q901698","display_name":"Distance matrix","level":2,"score":0.524467945098877},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5217210054397583},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5148181319236755},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4751710295677185},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4583349823951721},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.45172637701034546},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4453323483467102},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15852844715118408},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13564544916152954},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iecon49645.2022.9968781","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon49645.2022.9968781","pdf_url":null,"source":{"id":"https://openalex.org/S4363607717","display_name":"IECON 2022 \u2013 48th Annual Conference of the IEEE Industrial Electronics Society","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":"IECON 2022 \u2013 48th Annual Conference of the IEEE Industrial Electronics Society","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1981934656","https://openalex.org/W2075338093","https://openalex.org/W2155195832","https://openalex.org/W2156503960","https://openalex.org/W2291892784","https://openalex.org/W2296311849","https://openalex.org/W2573897806","https://openalex.org/W2941651142","https://openalex.org/W2944006115","https://openalex.org/W2963282966","https://openalex.org/W2974845031","https://openalex.org/W2990889669","https://openalex.org/W3012789710","https://openalex.org/W3023385002","https://openalex.org/W3035374961","https://openalex.org/W3038959479","https://openalex.org/W3040289276","https://openalex.org/W3082666011","https://openalex.org/W3152687289","https://openalex.org/W3158215955","https://openalex.org/W3179667740","https://openalex.org/W3186213478","https://openalex.org/W6768103150","https://openalex.org/W6770928253","https://openalex.org/W6775316050","https://openalex.org/W6794285347"],"related_works":["https://openalex.org/W4206923957","https://openalex.org/W2038639482","https://openalex.org/W4285095000","https://openalex.org/W2513074791","https://openalex.org/W2182136398","https://openalex.org/W2347413598","https://openalex.org/W2032415964","https://openalex.org/W2014214435","https://openalex.org/W3049200503","https://openalex.org/W2591622283"],"abstract_inverted_index":{"Recognizing":[0],"new":[1],"action":[2,32],"categories":[3],"from":[4],"a":[5,25,141],"few":[6],"reference":[7],"samples":[8],"is":[9,20],"an":[10],"encouraging":[11],"research":[12],"field":[13],"because":[14],"the":[15,48,59,67,79,88,103,110,121,158],"cost":[16],"of":[17,40,61,160],"labeling":[18],"data":[19],"expensive.":[21],"This":[22],"work":[23],"presents":[24],"method":[26],"for":[27],"few-shot":[28],"(or":[29],"one-shot)":[30],"skeleton-based":[31],"recognition":[33,145],"by":[34,55,117,128,139],"fusing":[35],"temporal":[36,49,111,134],"and":[37,57,74,120,135],"spatial":[38,92,122,136],"features":[39],"actions.":[41],"Trajectory":[42],"primitives":[43],"are":[44,99,150],"proposed":[45,162],"to":[46,77,101,143,156],"characterize":[47],"features,":[50],"which":[51],"can":[52,114,125],"be":[53,115,126],"obtained":[54,127],"segmenting":[56],"clustering":[58],"trajectories":[60],"joints.":[62],"After":[63],"that,":[64],"we":[65,86,132],"modify":[66],"original":[68],"dynamic":[69],"time":[70],"warping":[71],"(DTW)":[72],"algorithm":[73],"use":[75],"it":[76],"measure":[78],"similarity":[80],"between":[81],"trajectory":[82],"primitive":[83],"sequences.":[84],"Besides,":[85],"compute":[87],"joint":[89,104],"angles":[90],"as":[91],"feature":[93],"vectors.":[94,106],"Support":[95],"vector":[96],"machines":[97],"(SVM)":[98],"used":[100],"classify":[102],"angle":[105],"In":[107],"this":[108],"way,":[109],"distance":[112,123,137],"matrix":[113,124],"calculated":[116],"modified":[118],"DTW,":[119],"trained":[129],"SVM.":[130],"Finally,":[131],"fuse":[133],"matrices":[138],"adjusting":[140],"parameter":[142],"improve":[144],"accuracy.":[146],"Furthermore,":[147],"extensive":[148],"experiments":[149],"conducted":[151],"on":[152],"three":[153],"small-scale":[154],"datasets":[155],"verify":[157],"effectiveness":[159],"our":[161],"method.":[163]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
