{"id":"https://openalex.org/W4400722423","doi":"https://doi.org/10.3390/s24144647","title":"Fall Detection Method for Infrared Videos Based on Spatial-Temporal Graph Convolutional Network","display_name":"Fall Detection Method for Infrared Videos Based on Spatial-Temporal Graph Convolutional Network","publication_year":2024,"publication_date":"2024-07-17","ids":{"openalex":"https://openalex.org/W4400722423","doi":"https://doi.org/10.3390/s24144647","pmid":"https://pubmed.ncbi.nlm.nih.gov/39066046"},"language":"en","primary_location":{"id":"doi:10.3390/s24144647","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24144647","pdf_url":"https://www.mdpi.com/1424-8220/24/14/4647/pdf?version=1721723920","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/24/14/4647/pdf?version=1721723920","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032833390","display_name":"Junkai Yang","orcid":"https://orcid.org/0009-0003-8795-0489"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junkai Yang","raw_affiliation_strings":["MOE Key Laboratory of Optoelectronic Imaging Technology and System, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MOE Key Laboratory of Optoelectronic Imaging Technology and System, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041537553","display_name":"Yuqing He","orcid":"https://orcid.org/0000-0002-3851-087X"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuqing He","raw_affiliation_strings":["MOE Key Laboratory of Optoelectronic Imaging Technology and System, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China"],"raw_orcid":"https://orcid.org/0000-0002-3851-087X","affiliations":[{"raw_affiliation_string":"MOE Key Laboratory of Optoelectronic Imaging Technology and System, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100905098","display_name":"Jingxuan Zhu","orcid":"https://orcid.org/0009-0003-7110-6312"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingxuan Zhu","raw_affiliation_strings":["MOE Key Laboratory of Optoelectronic Imaging Technology and System, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MOE Key Laboratory of Optoelectronic Imaging Technology and System, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109748120","display_name":"Zitao Lv","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zitao Lv","raw_affiliation_strings":["MOE Key Laboratory of Optoelectronic Imaging Technology and System, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MOE Key Laboratory of Optoelectronic Imaging Technology and System, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013520734","display_name":"Weiqi Jin","orcid":"https://orcid.org/0000-0002-1147-5242"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiqi Jin","raw_affiliation_strings":["MOE Key Laboratory of Optoelectronic Imaging Technology and System, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MOE Key Laboratory of Optoelectronic Imaging Technology and System, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5041537553"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":2.4388,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.90181335,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"24","issue":"14","first_page":"4647","last_page":"4647"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9976000189781189,"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":0.9976000189781189,"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":0.9940999746322632,"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":0.9926000237464905,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6300785541534424},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.607369601726532},{"id":"https://openalex.org/keywords/infrared","display_name":"Infrared","score":0.5616059899330139},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5052397847175598},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4757218658924103},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4434521496295929},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3831791281700134},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3237451910972595},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.14703699946403503},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.12455868721008301},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.08998152613639832},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08253765106201172}],"concepts":[{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6300785541534424},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.607369601726532},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.5616059899330139},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5052397847175598},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4757218658924103},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4434521496295929},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3831791281700134},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3237451910972595},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.14703699946403503},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.12455868721008301},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.08998152613639832},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08253765106201172}],"mesh":[{"descriptor_ui":"D000058","descriptor_name":"Accidental Falls","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000058","descriptor_name":"Accidental Falls","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000058","descriptor_name":"Accidental Falls","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000058","descriptor_name":"Accidental Falls","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007259","descriptor_name":"Infrared Rays","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007259","descriptor_name":"Infrared Rays","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007259","descriptor_name":"Infrared Rays","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007259","descriptor_name":"Infrared Rays","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.3390/s24144647","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24144647","pdf_url":"https://www.mdpi.com/1424-8220/24/14/4647/pdf?version=1721723920","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:39066046","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39066046","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11280873","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11280873","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11280873/pdf/sensors-24-04647.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:dddfb971570a40859a834ff1eee4b2ab","is_oa":false,"landing_page_url":"https://doaj.org/article/dddfb971570a40859a834ff1eee4b2ab","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 24, Iss 14, p 4647 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/s24144647","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24144647","pdf_url":"https://www.mdpi.com/1424-8220/24/14/4647/pdf?version=1721723920","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5099999904632568,"id":"https://metadata.un.org/sdg/1","display_name":"No poverty"}],"awards":[{"id":"https://openalex.org/G1962987267","display_name":null,"funder_award_id":"2020YFF0304104","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3545099512","display_name":null,"funder_award_id":"2022YFC3301602","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4400722423.pdf","grobid_xml":"https://content.openalex.org/works/W4400722423.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2097117768","https://openalex.org/W2194775991","https://openalex.org/W2519887557","https://openalex.org/W2905797181","https://openalex.org/W2940457086","https://openalex.org/W2948058585","https://openalex.org/W2962730651","https://openalex.org/W2963076818","https://openalex.org/W2964134613","https://openalex.org/W2999237480","https://openalex.org/W3006905737","https://openalex.org/W3131579999","https://openalex.org/W3176593182","https://openalex.org/W3203634062","https://openalex.org/W4281770078","https://openalex.org/W4285042466","https://openalex.org/W4317399136","https://openalex.org/W4379086656","https://openalex.org/W4383618400","https://openalex.org/W6797936649"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W4239306820","https://openalex.org/W2947043951","https://openalex.org/W4312417841","https://openalex.org/W2121524756"],"abstract_inverted_index":{"The":[0,143],"timely":[1],"detection":[2,48],"of":[3,110,132,167],"falls":[4,175],"and":[5,31,82,85,114,129,141,179],"alerting":[6],"medical":[7],"aid":[8],"is":[9],"critical":[10],"for":[11,102],"health":[12],"monitoring":[13],"in":[14,80,176],"elderly":[15],"individuals":[16],"living":[17],"alone.":[18],"This":[19],"paper":[20],"mainly":[21],"focuses":[22],"on":[23,146],"issues":[24],"such":[25],"as":[26],"poor":[27],"adaptability,":[28],"privacy":[29],"infringement,":[30],"low":[32],"recognition":[33,100,152],"accuracy":[34,140,166],"associated":[35],"with":[36,163],"traditional":[37],"visual":[38],"sensor-based":[39],"fall":[40,47,93,103,161],"detection.":[41],"We":[42],"propose":[43],"an":[44],"infrared":[45,72,149],"video-based":[46],"method":[49,61],"utilizing":[50],"spatial-temporal":[51],"graph":[52,111,118],"convolutional":[53,112],"networks":[54],"(ST-GCNs)":[55],"to":[56,65,91],"address":[57],"these":[58],"challenges.":[59],"Our":[60],"used":[62],"fine-tuned":[63],"AlphaPose":[64],"extract":[66],"2D":[67],"human":[68,150],"skeleton":[69,76],"sequences":[70],"from":[71],"videos.":[73,181],"Subsequently,":[74],"the":[75,98,107,133,164],"data":[77],"was":[78],"represented":[79],"Cartesian":[81],"polar":[83],"coordinates":[84],"processed":[86],"through":[87],"a":[88,136,147],"two-stream":[89],"ST-GCN":[90],"recognize":[92],"behaviors":[94,162],"promptly.":[95],"To":[96,121],"enhance":[97],"network's":[99],"capability":[101],"actions,":[104],"we":[105,125],"improved":[106],"adjacency":[108],"matrix":[109],"units":[113],"introduced":[115],"multi-scale":[116],"temporal":[117],"convolution":[119],"units.":[120],"facilitate":[122],"practical":[123],"deployment,":[124],"optimized":[126],"time":[127],"window":[128],"network":[130],"depth":[131],"ST-GCN,":[134],"striking":[135],"balance":[137],"between":[138],"model":[139],"speed.":[142],"experimental":[144],"results":[145],"proprietary":[148],"action":[151],"dataset":[153],"demonstrated":[154],"that":[155],"our":[156,170],"proposed":[157],"algorithm":[158,171],"accurately":[159],"identifies":[160],"highest":[165],"96%.":[168],"Moreover,":[169],"performed":[172],"robustly,":[173],"identifying":[174],"both":[177],"near-infrared":[178],"thermal-infrared":[180]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":6}],"updated_date":"2026-06-02T09:04:35.204637","created_date":"2025-10-10T00:00:00"}
