{"id":"https://openalex.org/W2766405313","doi":"https://doi.org/10.1145/3126686.3126764","title":"Self-Gated Recurrent Neural Networks for Human Activity Recognition on Wearable Devices","display_name":"Self-Gated Recurrent Neural Networks for Human Activity Recognition on Wearable Devices","publication_year":2017,"publication_date":"2017-10-23","ids":{"openalex":"https://openalex.org/W2766405313","doi":"https://doi.org/10.1145/3126686.3126764","mag":"2766405313"},"language":"en","primary_location":{"id":"doi:10.1145/3126686.3126764","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3126686.3126764","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the on Thematic Workshops of ACM Multimedia 2017","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/A5028497212","display_name":"Toan H. Vu","orcid":"https://orcid.org/0000-0001-8775-120X"},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Toan H. Vu","raw_affiliation_strings":["National Central University, Taoyuan, Taiwan Roc"],"affiliations":[{"raw_affiliation_string":"National Central University, Taoyuan, Taiwan Roc","institution_ids":["https://openalex.org/I22265921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084701593","display_name":"An Dang","orcid":"https://orcid.org/0009-0000-2518-7180"},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"An Dang","raw_affiliation_strings":["National Central University, Taoyuan, Taiwan Roc"],"affiliations":[{"raw_affiliation_string":"National Central University, Taoyuan, Taiwan Roc","institution_ids":["https://openalex.org/I22265921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114185623","display_name":"Le Dung","orcid":null},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Le Dung","raw_affiliation_strings":["Hanoi University of Science and Technology, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"Hanoi University of Science and Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029325015","display_name":"Jia\u2010Ching Wang","orcid":"https://orcid.org/0000-0003-0024-6732"},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jia-Ching Wang","raw_affiliation_strings":["National Central University, Taoyuan, Taiwan Roc"],"affiliations":[{"raw_affiliation_string":"National Central University, Taoyuan, Taiwan Roc","institution_ids":["https://openalex.org/I22265921"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5028497212"],"corresponding_institution_ids":["https://openalex.org/I22265921"],"apc_list":null,"apc_paid":null,"fwci":0.7282,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.80937361,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"179","last_page":"185"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9988999962806702,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/recurrent-neural-network","display_name":"Recurrent neural network","score":0.9406166076660156},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8094201683998108},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.7140631079673767},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5376032590866089},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5285251140594482},{"id":"https://openalex.org/keywords/resource-consumption","display_name":"Resource consumption","score":0.4807436466217041},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.4650636315345764},{"id":"https://openalex.org/keywords/smartwatch","display_name":"Smartwatch","score":0.4560205936431885},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.44765859842300415},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4268838167190552},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.363718181848526},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1784549355506897},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.17802080512046814}],"concepts":[{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.9406166076660156},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8094201683998108},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.7140631079673767},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5376032590866089},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5285251140594482},{"id":"https://openalex.org/C2777480716","wikidata":"https://www.wikidata.org/wiki/Q23582796","display_name":"Resource consumption","level":2,"score":0.4807436466217041},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.4650636315345764},{"id":"https://openalex.org/C29794715","wikidata":"https://www.wikidata.org/wiki/Q5362345","display_name":"Smartwatch","level":3,"score":0.4560205936431885},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.44765859842300415},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4268838167190552},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.363718181848526},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1784549355506897},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.17802080512046814},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3126686.3126764","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3126686.3126764","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the on Thematic Workshops of ACM Multimedia 2017","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W22482183","https://openalex.org/W89778959","https://openalex.org/W581956982","https://openalex.org/W1479420522","https://openalex.org/W1598741436","https://openalex.org/W1674799117","https://openalex.org/W1800356822","https://openalex.org/W1815076433","https://openalex.org/W1895577753","https://openalex.org/W1924770834","https://openalex.org/W1979613719","https://openalex.org/W2002261403","https://openalex.org/W2012557818","https://openalex.org/W2035424729","https://openalex.org/W2035567952","https://openalex.org/W2064675550","https://openalex.org/W2097575504","https://openalex.org/W2101535084","https://openalex.org/W2107878631","https://openalex.org/W2110159806","https://openalex.org/W2143612262","https://openalex.org/W2157331557","https://openalex.org/W2219995598","https://openalex.org/W2344284192","https://openalex.org/W2469894155","https://openalex.org/W2495920728","https://openalex.org/W2525466670","https://openalex.org/W2551239383","https://openalex.org/W2753034091","https://openalex.org/W2949287001","https://openalex.org/W2951844372","https://openalex.org/W2962882167","https://openalex.org/W4247950230","https://openalex.org/W4255562757","https://openalex.org/W4298027029","https://openalex.org/W4299828299"],"related_works":["https://openalex.org/W2748818549","https://openalex.org/W4304142278","https://openalex.org/W2342865424","https://openalex.org/W2587509230","https://openalex.org/W4283331601","https://openalex.org/W3097068272","https://openalex.org/W4210780304","https://openalex.org/W2802035586","https://openalex.org/W3093846146","https://openalex.org/W4313463160"],"abstract_inverted_index":{"This":[0],"paper":[1],"develops":[2],"a":[3,104],"self-gated":[4],"recurrent":[5,43],"neural":[6,28],"network":[7],"(SGRNN),":[8],"and":[9,50,55,87,98,148,155],"applies":[10],"it":[11,116],"to":[12,80,142],"human":[13],"activity":[14],"recognition":[15],"(HAR),":[16],"using":[17],"time-series":[18,35],"signals":[19],"collected":[20],"from":[21,59],"embedded":[22],"sensors":[23],"of":[24,103,111,122,137,144,153],"wearable":[25,74],"devices.":[26],"Recurrent":[27],"networks":[29],"(RNNs)":[30],"are":[31,52],"very":[32,67],"powerful":[33],"for":[34,71],"signal":[36],"analysis.":[37],"Especially,":[38],"by":[39,119],"integrating":[40],"gates":[41],"into":[42],"units,":[44],"gated":[45],"RNNs":[46,76],"such":[47],"as":[48,101],"LSTM":[49,154],"GRU":[51],"more":[53],"complexity,":[54],"do":[56],"not":[57,131],"suffer":[58],"the":[60,95,112,120,128,135,145,158],"vanishing":[61,123],"gradient":[62],"problem,":[63],"so":[64,115],"can":[65],"learn":[66],"long-term":[68],"dependencies.":[69],"However,":[70],"use":[72],"on":[73,127],"devices,":[75],"must":[77],"be":[78],"simplified":[79],"reduce":[81],"resource":[82,163],"consumption,":[83],"including":[84],"memory":[85],"usage":[86],"computational":[88],"cost.":[89],"The":[90],"proposed":[91],"model":[92,139,159],"is":[93,117,140,149,160],"approximately":[94],"same":[96],"size":[97],"burdensome":[99],"computation":[100],"that":[102,134,143,152],"standard":[105,146],"RNN,":[106,147],"but":[107,157],"exhibits":[108],"explicit":[109],"properties":[110],"gating":[113],"mechanism,":[114],"unaffected":[118],"problem":[121,130],"gradients.":[124],"Experimental":[125],"results":[126],"HAR":[129],"only":[132],"demonstrate":[133],"accuracy":[136],"our":[138],"superior":[141],"comparable":[150],"with":[151],"GRU,":[156],"low":[161],"in":[162],"consumption.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}