{"id":"https://openalex.org/W3093916778","doi":"https://doi.org/10.1109/jiot.2020.3033430","title":"ST-DeepHAR: Deep Learning Model for Human Activity Recognition in IoHT Applications","display_name":"ST-DeepHAR: Deep Learning Model for Human Activity Recognition in IoHT Applications","publication_year":2020,"publication_date":"2020-10-23","ids":{"openalex":"https://openalex.org/W3093916778","doi":"https://doi.org/10.1109/jiot.2020.3033430","mag":"3093916778"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2020.3033430","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2020.3033430","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-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/A5079704928","display_name":"Mohamed Abdel\u2010Basset","orcid":"https://orcid.org/0000-0002-2794-3936"},"institutions":[{"id":"https://openalex.org/I192398990","display_name":"Zagazig University","ror":"https://ror.org/053g6we49","country_code":"EG","type":"education","lineage":["https://openalex.org/I192398990"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Mohamed Abdel-Basset","raw_affiliation_strings":["Zagazig University, Zagazig, Egypt"],"raw_orcid":"https://orcid.org/0000-0002-2794-3936","affiliations":[{"raw_affiliation_string":"Zagazig University, Zagazig, Egypt","institution_ids":["https://openalex.org/I192398990"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081293402","display_name":"Hossam Hawash","orcid":"https://orcid.org/0000-0001-9925-3232"},"institutions":[{"id":"https://openalex.org/I192398990","display_name":"Zagazig University","ror":"https://ror.org/053g6we49","country_code":"EG","type":"education","lineage":["https://openalex.org/I192398990"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Hossam Hawash","raw_affiliation_strings":["Zagazig University, Zagazig, Egypt"],"raw_orcid":"https://orcid.org/0000-0001-9925-3232","affiliations":[{"raw_affiliation_string":"Zagazig University, Zagazig, Egypt","institution_ids":["https://openalex.org/I192398990"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054715965","display_name":"Ripon K. Chakrabortty","orcid":"https://orcid.org/0000-0002-7373-0149"},"institutions":[{"id":"https://openalex.org/I188329596","display_name":"University of Canberra","ror":"https://ror.org/04s1nv328","country_code":"AU","type":"education","lineage":["https://openalex.org/I188329596"]},{"id":"https://openalex.org/I4394709116","display_name":"UNSW Canberra","ror":"https://ror.org/0125wpx05","country_code":null,"type":"education","lineage":["https://openalex.org/I31746571","https://openalex.org/I4394709116"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ripon K. Chakrabortty","raw_affiliation_strings":["Capability Systems Centre, School of Engineering and IT, UNSW Canberra, Campbell, ACT, Australia"],"raw_orcid":"https://orcid.org/0000-0002-7373-0149","affiliations":[{"raw_affiliation_string":"Capability Systems Centre, School of Engineering and IT, UNSW Canberra, Campbell, ACT, Australia","institution_ids":["https://openalex.org/I188329596","https://openalex.org/I4394709116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059760181","display_name":"Michael J. Ryan","orcid":"https://orcid.org/0000-0002-6335-3773"},"institutions":[{"id":"https://openalex.org/I188329596","display_name":"University of Canberra","ror":"https://ror.org/04s1nv328","country_code":"AU","type":"education","lineage":["https://openalex.org/I188329596"]},{"id":"https://openalex.org/I4394709116","display_name":"UNSW Canberra","ror":"https://ror.org/0125wpx05","country_code":null,"type":"education","lineage":["https://openalex.org/I31746571","https://openalex.org/I4394709116"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Michael Ryan","raw_affiliation_strings":["Capability Systems Centre, School of Engineering and IT, UNSW Canberra, Campbell, ACT, Australia"],"raw_orcid":"https://orcid.org/0000-0002-6335-3773","affiliations":[{"raw_affiliation_string":"Capability Systems Centre, School of Engineering and IT, UNSW Canberra, Campbell, ACT, Australia","institution_ids":["https://openalex.org/I188329596","https://openalex.org/I4394709116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000985289","display_name":"Mohamed Elhoseny","orcid":"https://orcid.org/0000-0001-6347-8368"},"institutions":[{"id":"https://openalex.org/I159247623","display_name":"Mansoura University","ror":"https://ror.org/01k8vtd75","country_code":"EG","type":"education","lineage":["https://openalex.org/I159247623"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Mohamed Elhoseny","raw_affiliation_strings":["Faculty of Computers and Information, Mansoura University, Dakahlia, Egypt"],"raw_orcid":"https://orcid.org/0000-0001-6347-8368","affiliations":[{"raw_affiliation_string":"Faculty of Computers and Information, Mansoura University, Dakahlia, Egypt","institution_ids":["https://openalex.org/I159247623"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079301418","display_name":"Houbing Song","orcid":"https://orcid.org/0000-0003-2631-9223"},"institutions":[{"id":"https://openalex.org/I84475105","display_name":"Embry\u2013Riddle Aeronautical University","ror":"https://ror.org/010jskt71","country_code":"US","type":"education","lineage":["https://openalex.org/I84475105"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Houbing Song","raw_affiliation_strings":["Embry-Riddle Aeronautical University, Daytona Beach, Fl, USA"],"raw_orcid":"https://orcid.org/0000-0003-2631-9223","affiliations":[{"raw_affiliation_string":"Embry-Riddle Aeronautical University, Daytona Beach, Fl, USA","institution_ids":["https://openalex.org/I84475105"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.3792,"has_fulltext":false,"cited_by_count":131,"citation_normalized_percentile":{"value":0.97954099,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"8","issue":"6","first_page":"4969","last_page":"4979"},"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9878000020980835,"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":0.8741546869277954},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.7093235850334167},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.6305885314941406},{"id":"https://openalex.org/keywords/smartwatch","display_name":"Smartwatch","score":0.5992721319198608},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5975281000137329},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5800526142120361},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.540759265422821},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5109514594078064},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.5061129927635193},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5037645697593689},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.4483453631401062},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4404803216457367},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.42359495162963867},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.41114065051078796},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3442589044570923},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.32726484537124634},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.22918763756752014},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.12974712252616882}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8741546869277954},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.7093235850334167},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.6305885314941406},{"id":"https://openalex.org/C29794715","wikidata":"https://www.wikidata.org/wiki/Q5362345","display_name":"Smartwatch","level":3,"score":0.5992721319198608},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5975281000137329},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5800526142120361},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.540759265422821},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5109514594078064},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.5061129927635193},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5037645697593689},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.4483453631401062},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4404803216457367},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.42359495162963867},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.41114065051078796},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3442589044570923},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32726484537124634},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.22918763756752014},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.12974712252616882}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jiot.2020.3033430","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2020.3033430","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-article"},{"id":"pmh:oai:works.bepress.com:houbing_song-1483","is_oa":false,"landing_page_url":"https://works.bepress.com/houbing_song/372","pdf_url":null,"source":{"id":"https://openalex.org/S4377196356","display_name":"Scholarly Commons (Embry\u2013Riddle Aeronautical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I84475105","host_organization_name":"Embry\u2013Riddle Aeronautical University","host_organization_lineage":["https://openalex.org/I84475105"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Houbing Song","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1857382374","https://openalex.org/W2017634428","https://openalex.org/W2194775991","https://openalex.org/W2293634267","https://openalex.org/W2799258971","https://openalex.org/W2892374186","https://openalex.org/W2895429161","https://openalex.org/W2905852111","https://openalex.org/W2907255073","https://openalex.org/W2909260516","https://openalex.org/W2915815650","https://openalex.org/W2923336951","https://openalex.org/W2947898397","https://openalex.org/W2948204427","https://openalex.org/W2948975938","https://openalex.org/W2949196821","https://openalex.org/W2949361563","https://openalex.org/W2949903789","https://openalex.org/W2952517693","https://openalex.org/W2963521811","https://openalex.org/W2977757120","https://openalex.org/W2979637742","https://openalex.org/W2981850489","https://openalex.org/W2992312320","https://openalex.org/W2993709311","https://openalex.org/W2998376881","https://openalex.org/W2999331821","https://openalex.org/W2999911530","https://openalex.org/W3001960185","https://openalex.org/W3006408325","https://openalex.org/W3006654525","https://openalex.org/W3007690119","https://openalex.org/W3011785450","https://openalex.org/W3015014633","https://openalex.org/W6696934422"],"related_works":["https://openalex.org/W2748818549","https://openalex.org/W4304142278","https://openalex.org/W3032336428","https://openalex.org/W2342865424","https://openalex.org/W2587509230","https://openalex.org/W4283331601","https://openalex.org/W3097068272","https://openalex.org/W4210780304","https://openalex.org/W4313463160","https://openalex.org/W2802035586"],"abstract_inverted_index":{"Human":[0],"activity":[1],"recognition":[2],"(HAR)":[3],"has":[4],"been":[5],"regarded":[6],"as":[7,53],"an":[8,63,118,145],"indispensable":[9],"part":[10],"of":[11,23,29,38,40,69,74,125,139,179],"many":[12],"smart":[13,17,47],"home":[14],"systems":[15],"and":[16,49,55,166],"healthcare":[18],"applications.":[19],"Specifically,":[20],"HAR":[21,84,168],"is":[22],"great":[24],"importance":[25],"in":[26,45,173],"the":[27,35,93,122,136,177],"Internet":[28,39],"Healthcare":[30],"Things":[31,41],"(IoHT),":[32],"owing":[33],"to":[34,149,175],"rapid":[36],"proliferation":[37],"(IoT)":[42],"technologies":[43],"embedded":[44],"various":[46],"appliances":[48],"wearable":[50],"devices":[51],"(such":[52],"smartphones":[54,70],"smartwatches)":[56],"that":[57,110,185],"have":[58],"a":[59,106,131,152],"pervasive":[60],"impact":[61],"on":[62],"individual's":[64],"life.":[65],"The":[66,182],"inertial":[67,126],"sensors":[68],"generate":[71],"massive":[72],"amounts":[73],"multidimensional":[75],"time-series":[76],"data,":[77],"which":[78],"can":[79,189],"be":[80],"exploited":[81],"effectively":[82],"for":[83,97,121,135],"purposes.":[85],"Unlike":[86],"traditional":[87],"approaches,":[88],"deep":[89],"learning":[90],"techniques":[91],"are":[92,171],"most":[94],"suitable":[95],"choice":[96],"such":[98],"multivariate":[99],"streams.":[100],"In":[101],"this":[102],"study,":[103],"we":[104],"introduce":[105,144],"supervised":[107],"dual-channel":[108],"model":[109],"comprises":[111],"long":[112],"short-term":[113],"memory":[114],"(LSTM),":[115],"followed":[116],"by":[117,158],"attention":[119],"mechanism":[120],"temporal":[123],"fusion":[124,138],"sensor":[127,140],"data":[128,169],"concurrent":[129],"with":[130],"convolutional":[132,151],"residual":[133],"network":[134,154],"spatial":[137],"data.":[141],"We":[142],"also":[143],"adaptive":[146],"channel-squeezing":[147],"operation":[148],"fine-tune":[150],"neural":[153],"feature":[155],"extraction":[156],"capability":[157],"exploiting":[159],"multichannel":[160],"dependency.":[161],"Finally,":[162],"two":[163],"widely":[164],"available":[165],"public":[167],"sets":[170],"used":[172],"experiments":[174],"evaluate":[176],"performance":[178],"our":[180,186],"model.":[181],"results":[183],"demonstrate":[184],"proposed":[187],"approach":[188],"overcome":[190],"state-of-the-art":[191],"methods.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":33},{"year":2023,"cited_by_count":38},{"year":2022,"cited_by_count":27},{"year":2021,"cited_by_count":12}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
