{"id":"https://openalex.org/W3158114938","doi":"https://doi.org/10.1109/icpr48806.2021.9413337","title":"Pose-aware Multi-feature Fusion Network for Driver Distraction Recognition","display_name":"Pose-aware Multi-feature Fusion Network for Driver Distraction Recognition","publication_year":2021,"publication_date":"2021-01-10","ids":{"openalex":"https://openalex.org/W3158114938","doi":"https://doi.org/10.1109/icpr48806.2021.9413337","mag":"3158114938"},"language":"en","primary_location":{"id":"doi:10.1109/icpr48806.2021.9413337","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9413337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","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/A5070523720","display_name":"Mingyan Wu","orcid":"https://orcid.org/0000-0003-2610-285X"},"institutions":[{"id":"https://openalex.org/I4210142539","display_name":"Guangdong Institute of Intelligent Manufacturing","ror":"https://ror.org/049jpjz09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210142539"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mingyan Wu","raw_affiliation_strings":["Guangdong Key Laboratory of Intelligent Information Processing"],"affiliations":[{"raw_affiliation_string":"Guangdong Key Laboratory of Intelligent Information Processing","institution_ids":["https://openalex.org/I4210142539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100430822","display_name":"Xi Zhang","orcid":"https://orcid.org/0000-0002-0760-2843"},"institutions":[{"id":"https://openalex.org/I4210142539","display_name":"Guangdong Institute of Intelligent Manufacturing","ror":"https://ror.org/049jpjz09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210142539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Zhang","raw_affiliation_strings":["Guangdong Key Laboratory of Intelligent Information Processing"],"affiliations":[{"raw_affiliation_string":"Guangdong Key Laboratory of Intelligent Information Processing","institution_ids":["https://openalex.org/I4210142539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019313200","display_name":"Linlin Shen","orcid":"https://orcid.org/0000-0003-1420-0815"},"institutions":[{"id":"https://openalex.org/I4210142539","display_name":"Guangdong Institute of Intelligent Manufacturing","ror":"https://ror.org/049jpjz09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210142539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linlin Shen","raw_affiliation_strings":["Guangdong Key Laboratory of Intelligent Information Processing"],"affiliations":[{"raw_affiliation_string":"Guangdong Key Laboratory of Intelligent Information Processing","institution_ids":["https://openalex.org/I4210142539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100432192","display_name":"Hang Yu","orcid":"https://orcid.org/0009-0000-4624-1123"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hang Yu","raw_affiliation_strings":["Shenzhen Laboratory of IC Design for Internet of Things, Shenzhen University, PR China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Laboratory of IC Design for Internet of Things, Shenzhen University, PR China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5070523720"],"corresponding_institution_ids":["https://openalex.org/I4210142539"],"apc_list":null,"apc_paid":null,"fwci":1.2623,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.81677169,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1228","last_page":"1235"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9941999912261963,"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":0.9941999912261963,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9930999875068665,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9765999913215637,"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/distraction","display_name":"Distraction","score":0.8048096895217896},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7829769849777222},{"id":"https://openalex.org/keywords/concatenation","display_name":"Concatenation (mathematics)","score":0.7232061624526978},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7114512920379639},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6918638348579407},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.558875322341919},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5043553113937378},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4990553855895996},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.4742138385772705},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44679901003837585},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07184883952140808}],"concepts":[{"id":"https://openalex.org/C2776378700","wikidata":"https://www.wikidata.org/wiki/Q3030775","display_name":"Distraction","level":2,"score":0.8048096895217896},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7829769849777222},{"id":"https://openalex.org/C87619178","wikidata":"https://www.wikidata.org/wiki/Q126002","display_name":"Concatenation (mathematics)","level":2,"score":0.7232061624526978},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7114512920379639},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6918638348579407},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.558875322341919},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5043553113937378},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4990553855895996},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.4742138385772705},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44679901003837585},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07184883952140808},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr48806.2021.9413337","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9413337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W1686810756","https://openalex.org/W1947481528","https://openalex.org/W1987796352","https://openalex.org/W2151103935","https://openalex.org/W2156303437","https://openalex.org/W2161969291","https://openalex.org/W2163605009","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2604321021","https://openalex.org/W2729689689","https://openalex.org/W2733839197","https://openalex.org/W2806604911","https://openalex.org/W2890157139","https://openalex.org/W2898269622","https://openalex.org/W2903703049","https://openalex.org/W2912346386","https://openalex.org/W2916798096","https://openalex.org/W2921864169","https://openalex.org/W2943314885","https://openalex.org/W2944006115","https://openalex.org/W2951183276","https://openalex.org/W2962851944","https://openalex.org/W2964134613","https://openalex.org/W2965056781","https://openalex.org/W3098538019","https://openalex.org/W4298947612","https://openalex.org/W6682864246","https://openalex.org/W6684191040","https://openalex.org/W6740710302"],"related_works":["https://openalex.org/W1984342691","https://openalex.org/W2373577936","https://openalex.org/W2470048815","https://openalex.org/W2324884046","https://openalex.org/W641612223","https://openalex.org/W2906771794","https://openalex.org/W4221148444","https://openalex.org/W2028203774","https://openalex.org/W2174716869","https://openalex.org/W4377864795"],"abstract_inverted_index":{"Traffic":[0],"accidents":[1],"caused":[2],"by":[3,91],"distracted":[4,29,44],"driving":[5,30],"have":[6],"gradually":[7],"increased":[8],"in":[9],"recent":[10],"years.":[11],"In":[12,58],"this":[13],"work,":[14],"we":[15],"propose":[16],"a":[17],"novel":[18],"multi-feature":[19],"fusion":[20],"network":[21,69],"based":[22,28],"on":[23,112],"pose":[24,86],"estimation,":[25],"for":[26],"image":[27],"detection.":[31],"Since":[32],"hand":[33,76,84],"is":[34],"the":[35,43,53,61,65,72,120],"most":[36],"important":[37,73],"part":[38],"of":[39,75,94,99],"driver":[40],"to":[41,60],"infer":[42],"actions,":[45],"our":[46,68,107,113],"proposed":[47],"method":[48,108],"firstly":[49],"detects":[50],"hands":[51],"using":[52],"human":[54,78],"body":[55,79],"posture":[56],"information.":[57],"addition":[59],"features":[62,87],"extracted":[63],"from":[64],"whole":[66],"image,":[67],"also":[70],"include":[71],"information":[74],"and":[77,85,97,119],"posture.":[80],"The":[81,102],"global":[82],"feature,":[83],"are":[88],"finally":[89],"fused":[90],"weighted":[92],"combination":[93],"probability":[95],"vectors":[96],"concatenation":[98],"feature":[100],"maps.":[101],"experimental":[103],"results":[104],"show":[105],"that":[106],"achieves":[109],"state-of-the-art":[110],"performance":[111],"own":[114],"SZ":[115],"Bus":[116],"Driver":[117,124],"dataset":[118],"public":[121],"AUC":[122],"Distracted":[123],"dataset.":[125]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":2}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
