{"id":"https://openalex.org/W2922305970","doi":"https://doi.org/10.23919/apsipa.2018.8659703","title":"Smoking Action Recognition Based on Spatial-Temporal Convolutional Neural Networks","display_name":"Smoking Action Recognition Based on Spatial-Temporal Convolutional Neural Networks","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2922305970","doi":"https://doi.org/10.23919/apsipa.2018.8659703","mag":"2922305970"},"language":"en","primary_location":{"id":"doi:10.23919/apsipa.2018.8659703","is_oa":false,"landing_page_url":"https://doi.org/10.23919/apsipa.2018.8659703","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","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/A5018559977","display_name":"Chien-Fang Chiu","orcid":null},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chien-Fang Chiu","raw_affiliation_strings":["National Central University, Jhongli, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Central University, Jhongli, Taiwan","institution_ids":["https://openalex.org/I22265921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102181288","display_name":"Chien-Hao Kuo","orcid":null},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chien-Hao Kuo","raw_affiliation_strings":["National Central University, Jhongli, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Central University, Jhongli, Taiwan","institution_ids":["https://openalex.org/I22265921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103030114","display_name":"Pao\u2010Chi Chang","orcid":"https://orcid.org/0000-0003-3097-4714"},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Pao-Chi Chang","raw_affiliation_strings":["National Central University, Jhongli, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Central University, Jhongli, Taiwan","institution_ids":["https://openalex.org/I22265921"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5018559977"],"corresponding_institution_ids":["https://openalex.org/I22265921"],"apc_list":null,"apc_paid":null,"fwci":0.2089,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.58275195,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1616","last_page":"1619"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9990000128746033,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9990000128746033,"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":0.9986000061035156,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8040908575057983},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.7003598809242249},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6827266216278076},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6279131174087524},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5455470085144043},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49165016412734985},{"id":"https://openalex.org/keywords/clips","display_name":"CLIPS","score":0.48558253049850464},{"id":"https://openalex.org/keywords/test-data","display_name":"Test data","score":0.4447520077228546},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41800838708877563},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33950570225715637}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8040908575057983},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.7003598809242249},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6827266216278076},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6279131174087524},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5455470085144043},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49165016412734985},{"id":"https://openalex.org/C2778739407","wikidata":"https://www.wikidata.org/wiki/Q165372","display_name":"CLIPS","level":2,"score":0.48558253049850464},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.4447520077228546},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41800838708877563},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33950570225715637},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.0},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/apsipa.2018.8659703","is_oa":false,"landing_page_url":"https://doi.org/10.23919/apsipa.2018.8659703","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.8700000047683716}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1686810756","https://openalex.org/W1836465849","https://openalex.org/W1927052826","https://openalex.org/W2016053056","https://openalex.org/W2097117768","https://openalex.org/W2102605133","https://openalex.org/W2105101328","https://openalex.org/W2112796928","https://openalex.org/W2126579184","https://openalex.org/W2156303437","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2342662179","https://openalex.org/W2507009361","https://openalex.org/W2613718673","https://openalex.org/W2618799552","https://openalex.org/W2949117887","https://openalex.org/W2962835968","https://openalex.org/W6620707391","https://openalex.org/W6637373629","https://openalex.org/W6682864246","https://openalex.org/W6724944384"],"related_works":["https://openalex.org/W2417253731","https://openalex.org/W2350469024","https://openalex.org/W2491583298","https://openalex.org/W2036154621","https://openalex.org/W2327827625","https://openalex.org/W2395860100","https://openalex.org/W795077857","https://openalex.org/W2938698191","https://openalex.org/W3087274204","https://openalex.org/W3004505825"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"we":[3],"propose":[4],"a":[5],"system":[6],"that":[7,37],"can":[8,42,57],"recognize":[9],"smoking":[10,30,39,53],"action.":[11],"It":[12],"utilizes":[13],"data":[14,17],"balancing":[15],"and":[16,22],"augmentation":[18],"based":[19],"on":[20],"GoogLeNet":[21],"Temporal":[23],"segment":[24],"networks":[25],"architecture":[26],"to":[27],"achieve":[28],"effective":[29],"action":[31],"recognition.":[32],"The":[33],"experimental":[34],"results":[35],"show":[36],"the":[38,55],"accuracy":[40,56],"rate":[41],"reach":[43],"100%":[44],"for":[45],"Hmdb51":[46],"test":[47],"dataset.":[48],"For":[49],"additional":[50],"irrelevant":[51],"movie":[52],"clips,":[54],"also":[58],"be":[59],"as":[60,62],"high":[61],"91.67%.":[63]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}