{"id":"https://openalex.org/W4225528848","doi":"https://doi.org/10.1109/bibm55620.2022.9995660","title":"Deep Transfer Learning with Graph Neural Network for Sensor-Based Human Activity Recognition","display_name":"Deep Transfer Learning with Graph Neural Network for Sensor-Based Human Activity Recognition","publication_year":2022,"publication_date":"2022-12-06","ids":{"openalex":"https://openalex.org/W4225528848","doi":"https://doi.org/10.1109/bibm55620.2022.9995660"},"language":"en","primary_location":{"id":"doi:10.1109/bibm55620.2022.9995660","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm55620.2022.9995660","pdf_url":null,"source":{"id":"https://openalex.org/S4363607730","display_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5107956089","display_name":"Tianzheng Liao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianzheng Liao","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences,Shenzhen,China","Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences,Shenzhen,China","institution_ids":["https://openalex.org/I4210145761"]},{"raw_affiliation_string":"Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101750421","display_name":"Jinjin Zhao","orcid":"https://orcid.org/0009-0001-1146-9192"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinjin Zhao","raw_affiliation_strings":["Southeast University,School of Biological Science and Medical Engineering,Nanjing,China","School of Biological Science and Medical Engineering, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University,School of Biological Science and Medical Engineering,Nanjing,China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Biological Science and Medical Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018310825","display_name":"Yu-Shi Liu","orcid":"https://orcid.org/0000-0002-0471-2430"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yushi Liu","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences,Shenzhen,China","Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences,Shenzhen,China","institution_ids":["https://openalex.org/I4210145761"]},{"raw_affiliation_string":"Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060936244","display_name":"Kamen Ivanov","orcid":null},"institutions":[{"id":"https://openalex.org/I24768866","display_name":"Bulgarian Academy of Sciences","ror":"https://ror.org/01x8hew03","country_code":"BG","type":"government","lineage":["https://openalex.org/I24768866"]},{"id":"https://openalex.org/I4210103918","display_name":"Institute of Biophysics and Biomedical Engineering","ror":"https://ror.org/01dxqkr82","country_code":"BG","type":"facility","lineage":["https://openalex.org/I24768866","https://openalex.org/I4210103918"]},{"id":"https://openalex.org/I4210117802","display_name":"Institute of Electronics","ror":"https://ror.org/0299eyn73","country_code":"BG","type":"nonprofit","lineage":["https://openalex.org/I24768866","https://openalex.org/I4210117802"]},{"id":"https://openalex.org/I4210134208","display_name":"Institute of Biophysics","ror":"https://ror.org/034g04n73","country_code":"BG","type":"facility","lineage":["https://openalex.org/I4210134208"]}],"countries":["BG"],"is_corresponding":false,"raw_author_name":"Kamen Ivanov","raw_affiliation_strings":["Institute of Biophysics and Biomedical Engineering Institute of Electronics,Bulgarian Academy of Sciences,Sofia,Bulgaria","Bulgarian Academy of Sciences, Institute of Biophysics and Biomedical Engineering Institute of Electronics, Sofia, Bulgaria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Biophysics and Biomedical Engineering Institute of Electronics,Bulgarian Academy of Sciences,Sofia,Bulgaria","institution_ids":["https://openalex.org/I24768866","https://openalex.org/I4210103918","https://openalex.org/I4210134208"]},{"raw_affiliation_string":"Bulgarian Academy of Sciences, Institute of Biophysics and Biomedical Engineering Institute of Electronics, Sofia, Bulgaria","institution_ids":["https://openalex.org/I24768866","https://openalex.org/I4210117802","https://openalex.org/I4210103918"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046927687","display_name":"Jing Xiong","orcid":"https://orcid.org/0000-0001-8872-5564"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Xiong","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences,Shenzhen,China","Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences,Shenzhen,China","institution_ids":["https://openalex.org/I4210145761"]},{"raw_affiliation_string":"Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100395073","display_name":"Yan Yan","orcid":"https://orcid.org/0000-0002-6344-136X"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Yan","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences,Shenzhen,China","Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences,Shenzhen,China","institution_ids":["https://openalex.org/I4210145761"]},{"raw_affiliation_string":"Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4747,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.87996025,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2445","last_page":"2452"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9998999834060669,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9998999834060669,"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":0.9749000072479248,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9675999879837036,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/computer-science","display_name":"Computer science","score":0.7964529991149902},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.702560305595398},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6841683983802795},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6380055546760559},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.58366459608078},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5536346435546875},{"id":"https://openalex.org/keywords/transferability","display_name":"Transferability","score":0.5132924914360046},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49102282524108887},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.4864751994609833},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.4706624746322632},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.46174269914627075},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41083893179893494},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35185590386390686},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1546129584312439},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.08861297369003296}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7964529991149902},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.702560305595398},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6841683983802795},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6380055546760559},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.58366459608078},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5536346435546875},{"id":"https://openalex.org/C61272859","wikidata":"https://www.wikidata.org/wiki/Q7834031","display_name":"Transferability","level":3,"score":0.5132924914360046},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49102282524108887},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.4864751994609833},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.4706624746322632},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.46174269914627075},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41083893179893494},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35185590386390686},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1546129584312439},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.08861297369003296},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C140331021","wikidata":"https://www.wikidata.org/wiki/Q1868104","display_name":"Logit","level":2,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm55620.2022.9995660","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm55620.2022.9995660","pdf_url":null,"source":{"id":"https://openalex.org/S4363607730","display_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7300000190734863,"display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W123295786","https://openalex.org/W1564237868","https://openalex.org/W1852728451","https://openalex.org/W1921523184","https://openalex.org/W2063598276","https://openalex.org/W2143221170","https://openalex.org/W2240136543","https://openalex.org/W2551239383","https://openalex.org/W2614259051","https://openalex.org/W2732997537","https://openalex.org/W2767613317","https://openalex.org/W2792481164","https://openalex.org/W2907492528","https://openalex.org/W2954709787","https://openalex.org/W2983735215","https://openalex.org/W2998376881","https://openalex.org/W2998431760","https://openalex.org/W3016414478","https://openalex.org/W3109563487","https://openalex.org/W3143148078","https://openalex.org/W3196686803","https://openalex.org/W6782909102"],"related_works":["https://openalex.org/W2161221533","https://openalex.org/W4229699405","https://openalex.org/W1666484574","https://openalex.org/W2216382288","https://openalex.org/W2355491300","https://openalex.org/W4234629551","https://openalex.org/W2011110943","https://openalex.org/W2028856635","https://openalex.org/W2011433332","https://openalex.org/W2582594227"],"abstract_inverted_index":{"The":[0],"sensor-based":[1,80,114,151],"human":[2],"activity":[3],"recognition":[4],"(HAR)":[5],"in":[6,15,20,150],"mobile":[7],"application":[8],"scenarios":[9],"is":[10,100,146],"often":[11],"confronted":[12],"with":[13,108],"variation":[14],"sensing":[16],"modalities":[17],"and":[18,92,123,140],"deficiencies":[19],"annotated":[21],"samples.":[22],"To":[23],"address":[24],"these":[25],"two":[26],"challenging":[27],"problems,":[28],"we":[29,66],"devised":[30],"a":[31,45,48,60,68,147],"graph-inspired":[32],"deep":[33,61],"learning":[34,63,131,143],"approach":[35],"that":[36,97],"uses":[37],"data":[38,94],"from":[39],"human-body":[40],"mounted":[41],"wearable":[42],"sensors.":[43],"As":[44],"step":[46],"toward":[47,78],"complete":[49],"HAR":[50,81,115,152],"solution,":[51],"the":[52,79,84,90,104,128,134],"proposed":[53],"method":[54],"was":[55],"further":[56],"used":[57],"to":[58,112],"build":[59],"transfer":[62,130],"model.":[64],"Specifically,":[65],"present":[67],"multi-layer":[69],"residual":[70],"structure":[71],"involving":[72],"graph":[73],"convolutional":[74],"neural":[75],"network":[76],"(ResGCNN)":[77],"tasks,":[82],"namely":[83],"HAR-ResGCNN":[85],"approach.":[86],"Experimental":[87],"results":[88,110],"on":[89],"PAMAP2":[91],"mHealth":[93],"sets":[95],"demonstrate":[96],"our":[98],"ResGCNN":[99,135],"effective":[101],"at":[102],"capturing":[103],"characteristics":[105],"of":[106,121],"actions":[107],"comparable":[109],"compared":[111],"other":[113],"models":[116],"(with":[117],"an":[118],"average":[119],"accuracy":[120],"98.18%":[122],"99.07%,":[124],"respectively).":[125],"More":[126],"importantly,":[127],"parameter-based":[129],"experiments":[132],"using":[133],"model":[136],"show":[137],"excellent":[138],"transferability":[139],"small":[141],"sample":[142],"ability,":[144],"which":[145],"promising":[148],"solution":[149],"applications.":[153]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2022-05-05T00:00:00"}