{"id":"https://openalex.org/W7084044507","doi":"https://doi.org/10.1109/segah65397.2025.11168443","title":"Drone-Based Spatial Gait Analysis in an Urban Park Across Age Groups Using a Deep Learning Approach","display_name":"Drone-Based Spatial Gait Analysis in an Urban Park Across Age Groups Using a Deep Learning Approach","publication_year":2025,"publication_date":"2025-08-06","ids":{"openalex":"https://openalex.org/W7084044507","doi":"https://doi.org/10.1109/segah65397.2025.11168443"},"language":"en","primary_location":{"id":"doi:10.1109/segah65397.2025.11168443","is_oa":false,"landing_page_url":"https://doi.org/10.1109/segah65397.2025.11168443","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Conference on Serious Games and Applications for Health (SeGAH)","raw_type":"proceedings-article"},"type":"conference-paper","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":null,"display_name":"Lian Duan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151929","display_name":"Nanning Normal University","ror":"https://ror.org/04dx82x73","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lian Duan","raw_affiliation_strings":["School of Natural Resources and Surveying, Normal University,Guangxi Natural Resources Intelligent Monitoring and Big Data Analysis Engineering Experimental Teaching Center, Joint Centre for Urban Health and Security Intelligent Data Analytics,Nanning,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Natural Resources and Surveying, Normal University,Guangxi Natural Resources Intelligent Monitoring and Big Data Analysis Engineering Experimental Teaching Center, Joint Centre for Urban Health and Security Intelligent Data Analytics,Nanning,China","institution_ids":["https://openalex.org/I4210151929"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jianquan Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I11983389","display_name":"Manchester Metropolitan University","ror":"https://ror.org/02hstj355","country_code":"GB","type":"education","lineage":["https://openalex.org/I11983389"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jianquan Cheng","raw_affiliation_strings":["Manchester Metropolitan University,Department of Natural Sciences,United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Manchester Metropolitan University,Department of Natural Sciences,United Kingdom","institution_ids":["https://openalex.org/I11983389"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Shiqi Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151929","display_name":"Nanning Normal University","ror":"https://ror.org/04dx82x73","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiqi Huang","raw_affiliation_strings":["School of Natural Resources and Surveying, Nanning Normal University,Joint Centre for Urban Health and Security Intelligent Data Analytics,Nanning,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Natural Resources and Surveying, Nanning Normal University,Joint Centre for Urban Health and Security Intelligent Data Analytics,Nanning,China","institution_ids":["https://openalex.org/I4210151929"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xuancheng Long","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151929","display_name":"Nanning Normal University","ror":"https://ror.org/04dx82x73","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuancheng Long","raw_affiliation_strings":["School of Natural Resources and Surveying, Nanning Normal University,Joint Centre for Urban Health and Security Intelligent Data Analytics,Nanning,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Natural Resources and Surveying, Nanning Normal University,Joint Centre for Urban Health and Security Intelligent Data Analytics,Nanning,China","institution_ids":["https://openalex.org/I4210151929"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ling Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151929","display_name":"Nanning Normal University","ror":"https://ror.org/04dx82x73","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling Li","raw_affiliation_strings":["Ministry of Education, Nanning Normal University,Joint Centre for Urban Health and Security Intelligent Data Analytics, Key Laboratory of Environment Change and Resources Use in Beibu Gulf,Nanning,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ministry of Education, Nanning Normal University,Joint Centre for Urban Health and Security Intelligent Data Analytics, Key Laboratory of Environment Change and Resources Use in Beibu Gulf,Nanning,China","institution_ids":["https://openalex.org/I4210151929"]}]},{"author_position":"last","author":{"id":null,"display_name":"Wenchao Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210127658","display_name":"Ministry of Natural Resources","ror":"https://ror.org/03tk15k72","country_code":"RW","type":"government","lineage":["https://openalex.org/I4210127658"]},{"id":"https://openalex.org/I4210155611","display_name":"Ministry of Water Resources of the People's Republic of China","ror":"https://ror.org/04e698d63","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210155611"]}],"countries":["CN","RW"],"is_corresponding":false,"raw_author_name":"Wenchao Liu","raw_affiliation_strings":["Information Center, Ministry of Natural Resources,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Center, Ministry of Natural Resources,Beijing,China","institution_ids":["https://openalex.org/I4210127658","https://openalex.org/I4210155611"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T10939","display_name":"Crystal Structures and Properties","score":0.260699987411499,"subfield":{"id":"https://openalex.org/subfields/2504","display_name":"Electronic, Optical and Magnetic Materials"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10939","display_name":"Crystal Structures and Properties","score":0.260699987411499,"subfield":{"id":"https://openalex.org/subfields/2504","display_name":"Electronic, Optical and Magnetic Materials"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12613","display_name":"X-ray Diffraction in Crystallography","score":0.05869999900460243,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13443","display_name":"Mineralogy and Gemology Studies","score":0.04149999842047691,"subfield":{"id":"https://openalex.org/subfields/1906","display_name":"Geochemistry and Petrology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.5590000152587891},{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.5192999839782715},{"id":"https://openalex.org/keywords/drone","display_name":"Drone","score":0.47760000824928284},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4327000081539154},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.42980000376701355},{"id":"https://openalex.org/keywords/gait-analysis","display_name":"Gait analysis","score":0.426800012588501},{"id":"https://openalex.org/keywords/poison-control","display_name":"Poison control","score":0.38029998540878296},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.35040000081062317},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.34439998865127563}],"concepts":[{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.5590000152587891},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.5192999839782715},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.491100013256073},{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.47760000824928284},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.4415999948978424},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4327000081539154},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.42980000376701355},{"id":"https://openalex.org/C173906292","wikidata":"https://www.wikidata.org/wiki/Q1493441","display_name":"Gait analysis","level":3,"score":0.426800012588501},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42410001158714294},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.3865000009536743},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38440001010894775},{"id":"https://openalex.org/C3017944768","wikidata":"https://www.wikidata.org/wiki/Q1450463","display_name":"Poison control","level":2,"score":0.38029998540878296},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.3546999990940094},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.35040000081062317},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.34439998865127563},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.34119999408721924},{"id":"https://openalex.org/C70770792","wikidata":"https://www.wikidata.org/wiki/Q7239848","display_name":"Preferred walking speed","level":2,"score":0.32589998841285706},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.31299999356269836},{"id":"https://openalex.org/C49545453","wikidata":"https://www.wikidata.org/wiki/Q69883","display_name":"Urban planning","level":2,"score":0.3075999915599823},{"id":"https://openalex.org/C18007350","wikidata":"https://www.wikidata.org/wiki/Q7394815","display_name":"STRIDE","level":2,"score":0.296099990606308},{"id":"https://openalex.org/C158709400","wikidata":"https://www.wikidata.org/wiki/Q3578586","display_name":"Spatial ecology","level":2,"score":0.2944999933242798},{"id":"https://openalex.org/C20220851","wikidata":"https://www.wikidata.org/wiki/Q18206750","display_name":"Effect of gait parameters on energetic cost","level":4,"score":0.2921999990940094},{"id":"https://openalex.org/C12847509","wikidata":"https://www.wikidata.org/wiki/Q1132973","display_name":"Power walking","level":3,"score":0.2793999910354614},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2770000100135803},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.27649998664855957},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27399998903274536},{"id":"https://openalex.org/C2777036941","wikidata":"https://www.wikidata.org/wiki/Q6917771","display_name":"Motion analysis","level":2,"score":0.2689000070095062},{"id":"https://openalex.org/C487182","wikidata":"https://www.wikidata.org/wiki/Q192042","display_name":"Urban sprawl","level":3,"score":0.26840001344680786},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.2653999924659729},{"id":"https://openalex.org/C2781197403","wikidata":"https://www.wikidata.org/wiki/Q193472","display_name":"Trunk","level":2,"score":0.2554999887943268},{"id":"https://openalex.org/C100368936","wikidata":"https://www.wikidata.org/wiki/Q1411725","display_name":"Crawling","level":2,"score":0.25369998812675476}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/segah65397.2025.11168443","is_oa":false,"landing_page_url":"https://doi.org/10.1109/segah65397.2025.11168443","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Conference on Serious Games and Applications for Health (SeGAH)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7303390502929688,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W4385760871","https://openalex.org/W4386523789","https://openalex.org/W4403791592","https://openalex.org/W4406615407"],"related_works":[],"abstract_inverted_index":{"This":[0],"study":[1],"introduces":[2],"a":[3,19],"pioneering":[4],"drone-based":[5,142],"spatial":[6,143],"gait":[7,70,82,107,144],"analysis":[8,79,145,186],"approach":[9],"for":[10,24,28,32,146],"scalable":[11],"and":[12,35,46,74,114,153,163,176],"ecologically":[13],"valid":[14],"urban":[15,147,151,164,174],"health":[16,148,161],"monitoring.":[17],"Leveraging":[18],"processing":[20],"pipeline":[21,170],"integrating":[22],"Drone-YOLO":[23],"object":[25],"detection,":[26],"YOLOv11-pose":[27],"pose":[29],"estimation,":[30],"ByteTrack":[31],"multi-object":[33],"tracking,":[34],"geographical":[36],"coordinate":[37],"mapping,":[38],"we":[39],"achieved":[40],"high-fidelity":[41],"extraction":[42],"of":[43,88,106,130,141],"pedestrian":[44,112],"keypoints":[45],"trajectories":[47],"from":[48,187],"drone":[49],"imagery.":[50],"Rigorous":[51],"testing":[52],"on":[53],"1679":[54],"pedestrians":[55],"across":[56],"age":[57],"groups":[58],"in":[59,69,84,98,119,127,172],"Qingxiu":[60],"Mountain":[61],"Park,":[62],"Nanning,":[63],"China,":[64],"revealed":[65],"significant":[66],"inter-group":[67],"differences":[68],"speed,":[71,108],"trunk":[72],"inclination,":[73],"stride":[75],"length":[76],"variability.":[77],"Spatial":[78],"highlighted":[80],"elevated":[81],"speeds":[83,97],"open,":[85],"flat":[86],"areas":[87],"the":[89,131,138,155],"Main":[90,132],"Gate":[91,133],"Plaza,":[92,121],"contrasting":[93],"with":[94,110],"significantly":[95],"reduced":[96],"congested,":[99],"topographically":[100],"complex":[101,156],"Flower":[102,120],"Plaza.":[103,134],"\u201cCold":[104],"spots\u201d":[105,124],"coinciding":[109],"high":[111],"density":[113],"uneven":[115],"terrain,":[116],"were":[117,125],"identified":[118],"while":[122],"\u201chot":[123],"observed":[126],"open":[128],"pathways":[129],"These":[135],"findings":[136],"demonstrate":[137],"transformative":[139],"potential":[140],"surveillance,":[149],"evidence-based":[150],"planning,":[152],"understanding":[154],"interplay":[157],"between":[158],"human":[159],"movement,":[160],"proxies,":[162],"environments.":[165],"Future":[166],"research":[167],"should":[168],"enhance":[169],"robustness":[171],"occluded":[173],"settings":[175],"explore":[177],"multi-modal":[178],"sensor":[179],"fusion":[180],"to":[181],"refine":[182],"dynamic":[183],"walking":[184],"behavior":[185],"aerial":[188],"perspectives.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}