{"id":"https://openalex.org/W4413836978","doi":"https://doi.org/10.1007/s44163-025-00492-6","title":"A human location and action recognition method based on improved Yolov11 model","display_name":"A human location and action recognition method based on improved Yolov11 model","publication_year":2025,"publication_date":"2025-08-30","ids":{"openalex":"https://openalex.org/W4413836978","doi":"https://doi.org/10.1007/s44163-025-00492-6"},"language":"en","primary_location":{"id":"doi:10.1007/s44163-025-00492-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44163-025-00492-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44163-025-00492-6.pdf","source":{"id":"https://openalex.org/S4210220416","display_name":"Discover Artificial Intelligence","issn_l":"2731-0809","issn":["2731-0809"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s44163-025-00492-6.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053725819","display_name":"Shunyi Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shunyi Chen","raw_affiliation_strings":["Modern Engineering Training Center, Xiamen University of Technology, 600 Ligong Road, Xiamen City, Fujian, China"],"affiliations":[{"raw_affiliation_string":"Modern Engineering Training Center, Xiamen University of Technology, 600 Ligong Road, Xiamen City, Fujian, China","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115501013","display_name":"Yongkang Liu","orcid":"https://orcid.org/0000-0003-4985-8553"},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongkang Liu","raw_affiliation_strings":["School of Electrical Engineering and Automation, Xiamen University of Technology, 600 Ligong Road, Xiamen City, Fujian, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Automation, Xiamen University of Technology, 600 Ligong Road, Xiamen City, Fujian, China","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101776262","display_name":"Hanqing Zhang","orcid":"https://orcid.org/0009-0009-5707-0636"},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanqing Zhang","raw_affiliation_strings":["School of Electrical Engineering and Automation, Xiamen University of Technology, 600 Ligong Road, Xiamen City, Fujian, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Automation, Xiamen University of Technology, 600 Ligong Road, Xiamen City, Fujian, China","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102008984","display_name":"Yi Cai","orcid":"https://orcid.org/0000-0002-9798-2463"},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Cai","raw_affiliation_strings":["School of Electrical Engineering and Automation, Xiamen University of Technology, 600 Ligong Road, Xiamen City, Fujian, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Automation, Xiamen University of Technology, 600 Ligong Road, Xiamen City, Fujian, China","institution_ids":["https://openalex.org/I75867142"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5053725819"],"corresponding_institution_ids":["https://openalex.org/I75867142"],"apc_list":{"value":990,"currency":"EUR","value_usd":1067},"apc_paid":{"value":990,"currency":"EUR","value_usd":1067},"fwci":2.66,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.91376286,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"5","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9994000196456909,"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":0.9994000196456909,"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":0.998199999332428,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9976999759674072,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.601799488067627},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5603936314582825},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.5289566516876221},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4081774652004242},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3545590043067932},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34032291173934937},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07743364572525024}],"concepts":[{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.601799488067627},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5603936314582825},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.5289566516876221},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4081774652004242},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3545590043067932},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34032291173934937},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07743364572525024},{"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/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s44163-025-00492-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44163-025-00492-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44163-025-00492-6.pdf","source":{"id":"https://openalex.org/S4210220416","display_name":"Discover Artificial Intelligence","issn_l":"2731-0809","issn":["2731-0809"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5d56bea76391416580bc632da801a230","is_oa":true,"landing_page_url":"https://doaj.org/article/5d56bea76391416580bc632da801a230","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Discover Artificial Intelligence, Vol 5, Iss 1, Pp 1-20 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s44163-025-00492-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44163-025-00492-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44163-025-00492-6.pdf","source":{"id":"https://openalex.org/S4210220416","display_name":"Discover Artificial Intelligence","issn_l":"2731-0809","issn":["2731-0809"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Zero hunger","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4413836978.pdf","grobid_xml":"https://content.openalex.org/works/W4413836978.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W247104752","https://openalex.org/W2594171637","https://openalex.org/W2793693263","https://openalex.org/W2944165510","https://openalex.org/W2949541494","https://openalex.org/W2949650786","https://openalex.org/W2979983945","https://openalex.org/W2991015021","https://openalex.org/W3133954504","https://openalex.org/W3157506437","https://openalex.org/W3165366273","https://openalex.org/W4226317937","https://openalex.org/W4226405420","https://openalex.org/W4287624305","https://openalex.org/W4289752563","https://openalex.org/W4297580547","https://openalex.org/W4297813700","https://openalex.org/W4320487943","https://openalex.org/W4385245566","https://openalex.org/W4385681453","https://openalex.org/W4387389856","https://openalex.org/W4391125488","https://openalex.org/W4398761314","https://openalex.org/W4401203280","https://openalex.org/W4404303854","https://openalex.org/W4410284943"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Intelligent":[0],"monitoring":[1],"systems":[2],"often":[3],"struggle":[4],"with":[5,135],"accurate":[6],"human":[7,25,128],"detection":[8,129],"and":[9,57,71,86,95,99,105,130,145,151,176,183],"action":[10,100,133],"recognition":[11,27],"in":[12,153,173],"complex":[13],"environments":[14],"such":[15],"as":[16],"classrooms.":[17],"To":[18],"address":[19],"this,":[20],"we":[21],"propose":[22],"an":[23,136],"improved":[24],"behavior":[26,62,190],"framework":[28],"based":[29],"on":[30],"a":[31,51,87,118],"modified":[32],"YOLOv11":[33,166],"architecture.":[34],"A":[35],"key":[36],"contribution":[37],"of":[38,44,125,139,181],"this":[39],"study":[40],"is":[41],"the":[42,45,82,143,159,164,179,184],"creation":[43],"Student":[46],"Classroom":[47],"Behavior":[48],"dataset":[49],"(SCB-dataset3),":[50],"novel":[52],"benchmark":[53],"comprising":[54],"5686":[55],"images":[56],"45,578":[58],"annotations":[59],"across":[60],"six":[61],"classes":[63],"(hand-raising,":[64],"reading,":[65],"writing,":[66],"phone":[67],"interaction,":[68],"head-bowing,":[69],"desk-leaning)":[70],"twelve":[72],"educational":[73],"stages":[74],"from":[75],"preschool":[76],"to":[77,91,163],"university.":[78],"Our":[79],"model":[80,116],"integrates":[81],"CBAM":[83],"attention":[84],"module":[85],"dual":[88,165],"classification":[89],"head":[90],"enhance":[92],"feature":[93],"representation":[94],"enable":[96],"simultaneous":[97],"location":[98],"classification.":[101],"Optimization":[102],"via":[103],"quantization":[104],"pruning":[106],"further":[107],"boosts":[108],"deployment":[109],"efficiency.":[110],"Experimental":[111],"evaluations":[112],"show":[113],"that":[114],"our":[115],"achieves":[117],"mean":[119],"average":[120],"precision":[121],"(":[122],"$${\\text{mAP}}@0.{5}$$":[123,154],")":[124],"0.805":[126],"for":[127,132,187],"0.722":[131],"recognition,":[134],"inference":[137],"speed":[138],"58.2":[140],"FPS,":[141],"outperforming":[142],"YOLOv8n":[144],"baseline":[146],"YOLOv11n":[147],"models":[148],"by":[149],"1.4":[150],"3.6%":[152],",":[155],"respectively,":[156],"while":[157],"halving":[158],"parameter":[160],"count":[161],"compared":[162],"models.":[167],"These":[168],"results":[169],"demonstrate":[170],"superior":[171],"performance":[172],"both":[174],"accuracy":[175],"efficiency,":[177],"validating":[178],"effectiveness":[180],"SCB-dataset3":[182],"proposed":[185],"architecture":[186],"robust":[188],"classroom":[189],"analysis.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}