{"id":"https://openalex.org/W3009224218","doi":"https://doi.org/10.1109/globecom38437.2019.9013934","title":"GraphConvLSTM: Spatiotemporal Learning for Activity Recognition with Wearable Sensors","display_name":"GraphConvLSTM: Spatiotemporal Learning for Activity Recognition with Wearable Sensors","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3009224218","doi":"https://doi.org/10.1109/globecom38437.2019.9013934","mag":"3009224218"},"language":"en","primary_location":{"id":"doi:10.1109/globecom38437.2019.9013934","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom38437.2019.9013934","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Global Communications Conference (GLOBECOM)","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":"https://openalex.org/A5102879609","display_name":"Jindong Han","orcid":"https://orcid.org/0000-0001-6329-7524"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jindong Han","raw_affiliation_strings":["Key Laboratory of Trustworthy Distributed Computing and Service, Beijing University of Posts and Telecommunications, Ministry of Education, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Trustworthy Distributed Computing and Service, Beijing University of Posts and Telecommunications, Ministry of Education, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059053033","display_name":"Yuan He","orcid":"https://orcid.org/0000-0001-7578-8515"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan He","raw_affiliation_strings":["Key Laboratory of Trustworthy Distributed Computing and Service, Beijing University of Posts and Telecommunications, Ministry of Education, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Trustworthy Distributed Computing and Service, Beijing University of Posts and Telecommunications, Ministry of Education, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100446344","display_name":"Juan Liu","orcid":"https://orcid.org/0000-0003-4963-6694"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juan Liu","raw_affiliation_strings":["Key Laboratory of Trustworthy Distributed Computing and Service, Beijing University of Posts and Telecommunications, Ministry of Education, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Trustworthy Distributed Computing and Service, Beijing University of Posts and Telecommunications, Ministry of Education, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100349091","display_name":"Qianqian Zhang","orcid":"https://orcid.org/0000-0002-1530-9209"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianqian Zhang","raw_affiliation_strings":["Key Laboratory of Trustworthy Distributed Computing and Service, Beijing University of Posts and Telecommunications, Ministry of Education, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Trustworthy Distributed Computing and Service, Beijing University of Posts and Telecommunications, Ministry of Education, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027047483","display_name":"Xiaojun Jing","orcid":"https://orcid.org/0000-0003-2560-4364"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojun Jing","raw_affiliation_strings":["Key Laboratory of Trustworthy Distributed Computing and Service, Beijing University of Posts and Telecommunications, Ministry of Education, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Trustworthy Distributed Computing and Service, Beijing University of Posts and Telecommunications, Ministry of Education, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9408000111579895,"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"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9398000240325928,"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/activity-recognition","display_name":"Activity recognition","score":0.8541213274002075},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.8477581739425659},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7883409261703491},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6317551732063293},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6290968060493469},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5795623660087585},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.5431957840919495},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.520028829574585},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.5167421698570251},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5117926001548767},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.508995771408081},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.4122634828090668},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.40273019671440125},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3958004117012024},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.10823634266853333},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08643662929534912}],"concepts":[{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.8541213274002075},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.8477581739425659},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7883409261703491},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6317551732063293},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6290968060493469},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5795623660087585},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.5431957840919495},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.520028829574585},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.5167421698570251},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5117926001548767},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.508995771408081},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.4122634828090668},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.40273019671440125},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3958004117012024},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.10823634266853333},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08643662929534912},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globecom38437.2019.9013934","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom38437.2019.9013934","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Global Communications Conference (GLOBECOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1598741436","https://openalex.org/W1662382123","https://openalex.org/W1979613719","https://openalex.org/W2017634428","https://openalex.org/W2023302299","https://openalex.org/W2064675550","https://openalex.org/W2073401630","https://openalex.org/W2101491865","https://openalex.org/W2112796928","https://openalex.org/W2116341502","https://openalex.org/W2126511896","https://openalex.org/W2158787690","https://openalex.org/W2270470215","https://openalex.org/W2288074780","https://openalex.org/W2344284192","https://openalex.org/W2553915786","https://openalex.org/W2558460151","https://openalex.org/W2777460464","https://openalex.org/W2869166307","https://openalex.org/W2894702700","https://openalex.org/W2963076818","https://openalex.org/W2963358464","https://openalex.org/W2963855167","https://openalex.org/W2964015378","https://openalex.org/W2964051675","https://openalex.org/W2964321699","https://openalex.org/W4242702158","https://openalex.org/W6637178625","https://openalex.org/W6679380999","https://openalex.org/W6696429117","https://openalex.org/W6704286305","https://openalex.org/W6720006811","https://openalex.org/W6726873649","https://openalex.org/W6746015598","https://openalex.org/W6747795875","https://openalex.org/W6748141922"],"related_works":["https://openalex.org/W2117913171","https://openalex.org/W3090300519","https://openalex.org/W2514492205","https://openalex.org/W4250401876","https://openalex.org/W2943851981","https://openalex.org/W2566526749","https://openalex.org/W3047461507","https://openalex.org/W3126390843","https://openalex.org/W4245880644","https://openalex.org/W2582769230"],"abstract_inverted_index":{"Wearable":[0],"activity":[1,69,115,133],"recognition":[2,116,134],"is":[3,42,78],"an":[4],"important":[5],"area":[6],"for":[7,11,67,131],"healthcare":[8],"applications,":[9],"especially":[10],"children":[12],"and":[13,48,55,103,118,148],"elderly":[14],"people.":[15],"Current":[16],"research":[17],"proves":[18],"that":[19,83,97],"deep":[20,27],"learning":[21,26],"techniques":[22],"are":[23],"capable":[24],"of":[25,80,140],"features":[28],"from":[29],"the":[30,46,59,75,81,138,141],"sensor":[31,53,76],"raw":[32],"signal.":[33],"However,":[34],"this":[35,89],"task":[36],"faces":[37],"two":[38,113],"challenges.":[39],"First,":[40],"it":[41,119],"hard":[43],"to":[44,73,85,144],"capture":[45],"dynamic":[47],"non-linear":[49],"interactions":[50],"between":[51,62],"different":[52],"modalities":[54],"time":[56],"slots.":[57],"Besides,":[58],"spatial":[60,99],"relationship":[61,77],"sensors":[63],"convey":[64],"significant":[65],"information":[66],"wearable":[68,132],"recognition,":[70],"thus":[71],"how":[72],"model":[74,98,111],"one":[79],"problems":[82],"need":[84],"be":[86],"solved.":[87],"In":[88],"work,":[90],"we":[91],"propose":[92],"GraphConvLSTM,":[93],"a":[94],"scalable":[95],"framework":[96],"relationship,":[100],"local":[101,147],"interaction,":[102],"long-term":[104],"temporal":[105,150],"dependency":[106],"simultaneously.":[107],"We":[108],"evaluate":[109],"our":[110],"on":[112],"real-world":[114],"datasets,":[117],"achieves":[120],"1.75%,":[121],"2.68%":[122],"accuracy":[123],"improvements":[124],"over":[125],"existing":[126],"methods":[127],"(accuracy:":[128],"90.83%,":[129],"93.08%)":[130],"task,":[135],"which":[136],"demonstrates":[137],"ability":[139],"proposed":[142],"approach":[143],"learn":[145],"spatial,":[146],"global":[149],"features.":[151]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}