{"id":"https://openalex.org/W7127594142","doi":"https://doi.org/10.1109/dese68208.2025.11368203","title":"Human Activity Recognition Using Machine Learning Techniques","display_name":"Human Activity Recognition Using Machine Learning Techniques","publication_year":2025,"publication_date":"2025-11-10","ids":{"openalex":"https://openalex.org/W7127594142","doi":"https://doi.org/10.1109/dese68208.2025.11368203"},"language":null,"primary_location":{"id":"doi:10.1109/dese68208.2025.11368203","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dese68208.2025.11368203","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 18th International Conference on Development in eSystem Engineering (DeSE)","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/A5125089945","display_name":"Bolarinwa Olayinka","orcid":null},"institutions":[{"id":"https://openalex.org/I874055015","display_name":"Teesside University","ror":"https://ror.org/03z28gk75","country_code":"GB","type":"education","lineage":["https://openalex.org/I874055015"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Bolarinwa Olayinka","raw_affiliation_strings":["School of Computing, Engineering &#x0026; Digital Technologies, Teesside University,Middlesbrough,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, Engineering &#x0026; Digital Technologies, Teesside University,Middlesbrough,UK","institution_ids":["https://openalex.org/I874055015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056894778","display_name":"Sumeia Ahmed A. Elkazza","orcid":"https://orcid.org/0000-0001-9131-5881"},"institutions":[{"id":"https://openalex.org/I874055015","display_name":"Teesside University","ror":"https://ror.org/03z28gk75","country_code":"GB","type":"education","lineage":["https://openalex.org/I874055015"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sumeia A Elkazza","raw_affiliation_strings":["School of Computing, Engineering &#x0026; Digital Technologies, Teesside University,Middlesbrough,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, Engineering &#x0026; Digital Technologies, Teesside University,Middlesbrough,UK","institution_ids":["https://openalex.org/I874055015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125060605","display_name":"Mansha Nawaz","orcid":null},"institutions":[{"id":"https://openalex.org/I874055015","display_name":"Teesside University","ror":"https://ror.org/03z28gk75","country_code":"GB","type":"education","lineage":["https://openalex.org/I874055015"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mansha Nawaz","raw_affiliation_strings":["School of Computing, Engineering &#x0026; Digital Technologies, Teesside University,Middlesbrough,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, Engineering &#x0026; Digital Technologies, Teesside University,Middlesbrough,UK","institution_ids":["https://openalex.org/I874055015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019082308","display_name":"Ndidi Bianca Ogbo","orcid":"https://orcid.org/0009-0006-1814-1428"},"institutions":[{"id":"https://openalex.org/I874055015","display_name":"Teesside University","ror":"https://ror.org/03z28gk75","country_code":"GB","type":"education","lineage":["https://openalex.org/I874055015"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ndidi Bianca Ogbo","raw_affiliation_strings":["School of Computing, Engineering &#x0026; Digital Technologies, Teesside University,Middlesbrough,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, Engineering &#x0026; Digital Technologies, Teesside University,Middlesbrough,UK","institution_ids":["https://openalex.org/I874055015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125042192","display_name":"Shatha Ghareeb","orcid":null},"institutions":[{"id":"https://openalex.org/I874055015","display_name":"Teesside University","ror":"https://ror.org/03z28gk75","country_code":"GB","type":"education","lineage":["https://openalex.org/I874055015"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Shatha Ghareeb","raw_affiliation_strings":["School of Computing, Engineering &#x0026; Digital Technologies, Teesside University,Middlesbrough,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, Engineering &#x0026; Digital Technologies, Teesside University,Middlesbrough,UK","institution_ids":["https://openalex.org/I874055015"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5116585917","display_name":"Jamila Mustafina Kazan","orcid":null},"institutions":[{"id":"https://openalex.org/I21203515","display_name":"Kazan Federal University","ror":"https://ror.org/05256ym39","country_code":"RU","type":"education","lineage":["https://openalex.org/I21203515"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Jamila Mustafina Kazan","raw_affiliation_strings":["Federal University,Kazan,Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University,Kazan,Russia","institution_ids":["https://openalex.org/I21203515"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5125089945"],"corresponding_institution_ids":["https://openalex.org/I874055015"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.68012811,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"446","last_page":"452"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.6751999855041504,"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":0.6751999855041504,"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":0.21770000457763672,"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/T10352","display_name":"Physical Activity and Health","score":0.005400000140070915,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.8274999856948853},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7056000232696533},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5544999837875366},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.5486999750137329},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4909000098705292},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48539999127388},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4422999918460846},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4320000112056732},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.41130000352859497}],"concepts":[{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.8274999856948853},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7994999885559082},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7394999861717224},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7099000215530396},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7056000232696533},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5544999837875366},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.5486999750137329},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4909000098705292},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48539999127388},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4422999918460846},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4320000112056732},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.41130000352859497},{"id":"https://openalex.org/C2778924833","wikidata":"https://www.wikidata.org/wiki/Q7064603","display_name":"Novelty detection","level":3,"score":0.4099000096321106},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.3847000002861023},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3747999966144562},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.3637999892234802},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.35530000925064087},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.3231000006198883},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.3203999996185303},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.30730000138282776},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.29339998960494995},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.27379998564720154},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2614000141620636},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.25450000166893005}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dese68208.2025.11368203","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dese68208.2025.11368203","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 18th International Conference on Development in eSystem Engineering (DeSE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2023302299","https://openalex.org/W2954996726","https://openalex.org/W3135092014","https://openalex.org/W3179083294","https://openalex.org/W3200173890","https://openalex.org/W4223918474","https://openalex.org/W4306174905","https://openalex.org/W4319439968","https://openalex.org/W4387350664","https://openalex.org/W4389979980","https://openalex.org/W4390576609","https://openalex.org/W4392567235","https://openalex.org/W4394761942","https://openalex.org/W4396931522","https://openalex.org/W4400146066","https://openalex.org/W4401045143"],"related_works":[],"abstract_inverted_index":{"This":[0],"study":[1],"presents":[2],"the":[3,114,121],"design":[4],"and":[5,36,57,59,68,87,96,100,139,166,177],"development":[6],"of":[7,38,146],"a":[8,22,30,46,71,103,158],"real-time,":[9],"machine":[10],"learning-based":[11],"human":[12,39,73],"activity":[13,74,109,170],"recognition":[14,171],"(HAR)":[15],"system.":[16],"The":[17,64,90,144],"research":[18],"focused":[19],"on":[20],"building":[21],"Convolutional":[23],"Neural":[24],"Network":[25],"(CNN)":[26],"model":[27,156],"integrated":[28],"into":[29],"web-based":[31,159],"application":[32,106],"for":[33,107,141,169],"real-time":[34,108,142,160],"detection":[35],"classification":[37],"activities.":[40],"Four":[41],"experimental":[42],"setups":[43],"were":[44,66,92],"implemented:":[45],"baseline":[47],"CNN,":[48],"CNN":[49],"with":[50,54,62,117,157],"data":[51,118],"augmentation,":[52,58],"VGG16":[53],"transfer":[55],"learning":[56,155],"Inception":[60,115],"ResNetV2":[61,116],"augmentation.":[63],"models":[65,91],"trained":[67],"validated":[69],"using":[70,83,94],"labeled":[72],"image":[75],"dataset":[76],"from":[77],"Kaggle.":[78],"Model":[79],"performance":[80,123],"was":[81],"evaluated":[82],"accuracy,":[84],"precision,":[85],"recall,":[86],"computational":[88],"cost.":[89],"implemented":[93],"TensorFlow":[95],"Keras":[97],"in":[98,150,172],"Python,":[99],"deployed":[101],"via":[102],"Flask-based":[104],"web":[105],"detection.":[110],"Among":[111],"all":[112],"models,":[113],"augmentation":[119],"achieved":[120],"best":[122],"(accuracy":[124],"<tex":[125,129,133],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[126,130,134],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$=0.762$</tex>,":[127],"precision":[128],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$=0.84$</tex>,":[131],"recall":[132],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$=0.69$</tex>),":[135],"demonstrating":[136],"strong":[137],"generalization":[138],"suitability":[140],"applications.":[143],"novelty":[145],"this":[147],"work":[148],"lies":[149],"integrating":[151],"an":[152,164],"optimized":[153],"deep":[154],"processing":[161],"framework,":[162],"offering":[163],"efficient":[165],"scalable":[167],"solution":[168],"domains":[173],"such":[174],"as":[175],"healthcare":[176],"sports.":[178]},"counts_by_year":[],"updated_date":"2026-05-01T08:36:08.643496","created_date":"2026-02-06T00:00:00"}