{"id":"https://openalex.org/W3089563032","doi":"https://doi.org/10.1109/access.2020.3027979","title":"A Deep Learning Approach for Human Activities Recognition From Multimodal Sensing Devices","display_name":"A Deep Learning Approach for Human Activities Recognition From Multimodal Sensing Devices","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3089563032","doi":"https://doi.org/10.1109/access.2020.3027979","mag":"3089563032"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3027979","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3027979","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09209961.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09209961.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056427557","display_name":"Isibor Kennedy Ihianle","orcid":"https://orcid.org/0000-0001-7445-8573"},"institutions":[{"id":"https://openalex.org/I52590639","display_name":"Nottingham Trent University","ror":"https://ror.org/04xyxjd90","country_code":"GB","type":"education","lineage":["https://openalex.org/I52590639"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Isibor Kennedy Ihianle","raw_affiliation_strings":["Nottingham Trent University, Nottingham, U.K"],"raw_orcid":"https://orcid.org/0000-0001-7445-8573","affiliations":[{"raw_affiliation_string":"Nottingham Trent University, Nottingham, U.K","institution_ids":["https://openalex.org/I52590639"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070697641","display_name":"Augustine O. Nwajana","orcid":"https://orcid.org/0000-0001-6591-5269"},"institutions":[{"id":"https://openalex.org/I55060895","display_name":"University of Greenwich","ror":"https://ror.org/00bmj0a71","country_code":"GB","type":"education","lineage":["https://openalex.org/I55060895"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Augustine O. Nwajana","raw_affiliation_strings":["Faculty of Engineering and Science, University of Greenwich, London, U.K"],"raw_orcid":"https://orcid.org/0000-0001-6591-5269","affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Science, University of Greenwich, London, U.K","institution_ids":["https://openalex.org/I55060895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042281125","display_name":"Solomon H. Ebenuwa","orcid":"https://orcid.org/0000-0001-5780-4817"},"institutions":[{"id":"https://openalex.org/I157227730","display_name":"University of East London","ror":"https://ror.org/057jrqr44","country_code":"GB","type":"education","lineage":["https://openalex.org/I157227730"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Solomon Henry Ebenuwa","raw_affiliation_strings":["School of Architecture, Computing and Engineering (ACE), University of East London, London, U.K"],"raw_orcid":"https://orcid.org/0000-0001-5780-4817","affiliations":[{"raw_affiliation_string":"School of Architecture, Computing and Engineering (ACE), University of East London, London, U.K","institution_ids":["https://openalex.org/I157227730"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085323245","display_name":"Richard I. Otuka","orcid":"https://orcid.org/0009-0006-0198-8999"},"institutions":[{"id":"https://openalex.org/I157227730","display_name":"University of East London","ror":"https://ror.org/057jrqr44","country_code":"GB","type":"education","lineage":["https://openalex.org/I157227730"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Richard I. Otuka","raw_affiliation_strings":["School of Architecture, Computing and Engineering (ACE), University of East London, London, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Architecture, Computing and Engineering (ACE), University of East London, London, U.K","institution_ids":["https://openalex.org/I157227730"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030927272","display_name":"Kayode Owa","orcid":"https://orcid.org/0000-0002-1393-705X"},"institutions":[{"id":"https://openalex.org/I52590639","display_name":"Nottingham Trent University","ror":"https://ror.org/04xyxjd90","country_code":"GB","type":"education","lineage":["https://openalex.org/I52590639"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Kayode Owa","raw_affiliation_strings":["Nottingham Trent University, Nottingham, U.K"],"raw_orcid":"https://orcid.org/0000-0002-1393-705X","affiliations":[{"raw_affiliation_string":"Nottingham Trent University, Nottingham, U.K","institution_ids":["https://openalex.org/I52590639"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083243132","display_name":"Mobolaji Olawumi Orisatoki","orcid":null},"institutions":[{"id":"https://openalex.org/I162608824","display_name":"University of Sussex","ror":"https://ror.org/00ayhx656","country_code":"GB","type":"education","lineage":["https://openalex.org/I162608824"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mobolaji O. Orisatoki","raw_affiliation_strings":["University of Sussex, Brighton, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sussex, Brighton, U.K","institution_ids":["https://openalex.org/I162608824"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5056427557"],"corresponding_institution_ids":["https://openalex.org/I52590639"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":5.2957,"has_fulltext":true,"cited_by_count":110,"citation_normalized_percentile":{"value":0.96654688,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"8","issue":null,"first_page":"179028","last_page":"179038"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.995199978351593,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9846000075340271,"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/computer-science","display_name":"Computer science","score":0.8728198409080505},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.7262476086616516},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7251136302947998},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7057048082351685},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6962029933929443},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6122066378593445},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5154029130935669},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.506452202796936},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49916648864746094},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4567308723926544},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4559633433818817},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.4552009701728821},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.445476770401001}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8728198409080505},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.7262476086616516},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7251136302947998},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7057048082351685},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6962029933929443},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6122066378593445},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5154029130935669},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.506452202796936},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49916648864746094},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4567308723926544},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4559633433818817},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.4552009701728821},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.445476770401001},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2020.3027979","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3027979","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09209961.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:gala.gre.ac.uk:29862","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401244","display_name":"Greenwich Academic Literature Archive (University of Greenwich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I55060895","host_organization_name":"University of Greenwich","host_organization_lineage":["https://openalex.org/I55060895"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:doaj.org/article:077155dc33fa4fe999a548825a294cfd","is_oa":true,"landing_page_url":"https://doaj.org/article/077155dc33fa4fe999a548825a294cfd","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 179028-179038 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3027979","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3027979","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09209961.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3089563032.pdf","grobid_xml":"https://content.openalex.org/works/W3089563032.grobid-xml"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W123295786","https://openalex.org/W134960717","https://openalex.org/W330298975","https://openalex.org/W1625504505","https://openalex.org/W1922655562","https://openalex.org/W1988545169","https://openalex.org/W2005708641","https://openalex.org/W2018162157","https://openalex.org/W2023302299","https://openalex.org/W2064675550","https://openalex.org/W2074783809","https://openalex.org/W2079735306","https://openalex.org/W2097117768","https://openalex.org/W2111928547","https://openalex.org/W2125462511","https://openalex.org/W2126511896","https://openalex.org/W2131774270","https://openalex.org/W2150338977","https://openalex.org/W2201675152","https://openalex.org/W2252215182","https://openalex.org/W2270470215","https://openalex.org/W2288074780","https://openalex.org/W2523496238","https://openalex.org/W2545177271","https://openalex.org/W2594590268","https://openalex.org/W2618360053","https://openalex.org/W2759690896","https://openalex.org/W2767979715","https://openalex.org/W2783186041","https://openalex.org/W2783819197","https://openalex.org/W2790299872","https://openalex.org/W2916913565","https://openalex.org/W2963083845","https://openalex.org/W2963919999","https://openalex.org/W2963993350","https://openalex.org/W2972660824","https://openalex.org/W2975256032","https://openalex.org/W2995754779","https://openalex.org/W2999309192","https://openalex.org/W2999955388","https://openalex.org/W4285709928","https://openalex.org/W6605479355","https://openalex.org/W6611114729","https://openalex.org/W6636859864","https://openalex.org/W6640090968","https://openalex.org/W6674914833","https://openalex.org/W6696429117","https://openalex.org/W6728910023","https://openalex.org/W6734772259","https://openalex.org/W6772669736","https://openalex.org/W6888962972"],"related_works":["https://openalex.org/W4299822940","https://openalex.org/W2279398222","https://openalex.org/W3156786002","https://openalex.org/W4366492315","https://openalex.org/W2946016983","https://openalex.org/W4315783664","https://openalex.org/W3021430260","https://openalex.org/W2592385986","https://openalex.org/W2546942002","https://openalex.org/W3044256341"],"abstract_inverted_index":{"Research":[0],"in":[1],"the":[2,46,89,115,122,131,144,158,164,167],"recognition":[3,20,127],"of":[4,7,35,42,71,84,98,114,166],"human":[5,18,176],"activities":[6,56],"daily":[8],"living":[9],"has":[10,39],"significantly":[11],"improved":[12],"using":[13,68,157],"deep":[14,36,64],"learning":[15,37,65],"techniques.":[16],"Traditional":[17],"activity":[19,126,177],"techniques":[21,38],"often":[22],"use":[23],"handcrafted":[24],"features":[25,124],"from":[26,29,50],"heuristic":[27],"processes":[28],"single":[30],"sensing":[31,52,172],"modality.":[32],"The":[33,82,108,139],"development":[34],"addressed":[40],"most":[41],"these":[43],"problems":[44],"by":[45],"automatic":[47],"feature":[48,103],"extraction":[49,104],"multimodal":[51,171],"devices":[53,173],"to":[54,120],"recognise":[55],"accurately.":[57],"In":[58],"this":[59,85],"paper,":[60],"we":[61],"propose":[62],"a":[63,69],"multi-channel":[66],"architecture":[67],"combination":[70],"convolutional":[72],"neural":[73],"network":[74],"(CNN)":[75],"and":[76,95,117,154],"Bidirectional":[77],"long":[78],"short-term":[79],"memory":[80],"(BLSTM).":[81],"advantage":[83,113],"model":[86,133,146,169],"is":[87],"that":[88,143],"CNN":[90],"layers":[91],"perform":[92],"direct":[93],"mapping":[94],"abstract":[96],"representation":[97],"raw":[99],"sensor":[100],"inputs":[101],"for":[102,125,174],"at":[105],"different":[106],"resolutions.":[107],"BLSTM":[109],"layer":[110],"takes":[111],"full":[112],"forward":[116],"backward":[118],"sequences":[119],"improve":[121],"extracted":[123],"significantly.":[128],"We":[129],"evaluate":[130],"proposed":[132,145,168],"on":[134,170],"two":[135],"publicly":[136],"available":[137],"datasets.":[138,160],"experimental":[140],"results":[141],"show":[142],"performed":[147],"considerably":[148],"better":[149],"than":[150],"our":[151],"baseline":[152],"models":[153,156],"other":[155],"same":[159],"It":[161],"also":[162],"demonstrates":[163],"suitability":[165],"enhanced":[175],"recognition.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":27},{"year":2024,"cited_by_count":23},{"year":2023,"cited_by_count":29},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":12}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2020-10-08T00:00:00"}
