{"id":"https://openalex.org/W2971749111","doi":"https://doi.org/10.1109/ccoms.2019.8821638","title":"Designing Classifier For Human Activity Recognition Using Artificial Neural Network","display_name":"Designing Classifier For Human Activity Recognition Using Artificial Neural Network","publication_year":2019,"publication_date":"2019-02-01","ids":{"openalex":"https://openalex.org/W2971749111","doi":"https://doi.org/10.1109/ccoms.2019.8821638","mag":"2971749111"},"language":"en","primary_location":{"id":"doi:10.1109/ccoms.2019.8821638","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccoms.2019.8821638","pdf_url":null,"source":{"id":"https://openalex.org/S4306498485","display_name":"2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS)","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/A5040583642","display_name":"Win Win Myo","orcid":"https://orcid.org/0000-0001-7232-2883"},"institutions":[{"id":"https://openalex.org/I131868736","display_name":"Prince of Songkla University","ror":"https://ror.org/0575ycz84","country_code":"TH","type":"education","lineage":["https://openalex.org/I131868736"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Win Win Myo","raw_affiliation_strings":["Artificial Intelligence Research Lab, Faculty of Science Prince of Songkla University, Hat Yai, Thailand"],"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Research Lab, Faculty of Science Prince of Songkla University, Hat Yai, Thailand","institution_ids":["https://openalex.org/I131868736"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059961414","display_name":"Wiphada Wettayaprasit","orcid":"https://orcid.org/0000-0002-8233-0323"},"institutions":[{"id":"https://openalex.org/I131868736","display_name":"Prince of Songkla University","ror":"https://ror.org/0575ycz84","country_code":"TH","type":"education","lineage":["https://openalex.org/I131868736"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Wiphada Wettayaprasit","raw_affiliation_strings":["Artificial Intelligence Research Lab, Faculty of Science Prince of Songkla University, Hat Yai, Thailand"],"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Research Lab, Faculty of Science Prince of Songkla University, Hat Yai, Thailand","institution_ids":["https://openalex.org/I131868736"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056457078","display_name":"Pattara Aiyarak","orcid":"https://orcid.org/0000-0003-2712-601X"},"institutions":[{"id":"https://openalex.org/I131868736","display_name":"Prince of Songkla University","ror":"https://ror.org/0575ycz84","country_code":"TH","type":"education","lineage":["https://openalex.org/I131868736"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Pattara Aiyarak","raw_affiliation_strings":["Artificial Intelligence Research Lab, Faculty of Science Prince of Songkla University, Hat Yai, Thailand"],"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Research Lab, Faculty of Science Prince of Songkla University, Hat Yai, Thailand","institution_ids":["https://openalex.org/I131868736"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5040583642"],"corresponding_institution_ids":["https://openalex.org/I131868736"],"apc_list":null,"apc_paid":null,"fwci":0.6151,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.75236427,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"81","last_page":"85"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9896000027656555,"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9517999887466431,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7865198850631714},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.751934289932251},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.741549015045166},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.719127893447876},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.6218881011009216},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.580967903137207},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5518180727958679},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5187918543815613},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.45989754796028137},{"id":"https://openalex.org/keywords/time-delay-neural-network","display_name":"Time delay neural network","score":0.418326735496521}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7865198850631714},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.751934289932251},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.741549015045166},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.719127893447876},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.6218881011009216},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.580967903137207},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5518180727958679},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5187918543815613},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.45989754796028137},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.418326735496521}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccoms.2019.8821638","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccoms.2019.8821638","pdf_url":null,"source":{"id":"https://openalex.org/S4306498485","display_name":"2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS)","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":20,"referenced_works":["https://openalex.org/W134960717","https://openalex.org/W293916754","https://openalex.org/W325178781","https://openalex.org/W1505211736","https://openalex.org/W1532501984","https://openalex.org/W2023302299","https://openalex.org/W2025723605","https://openalex.org/W2054780155","https://openalex.org/W2065908225","https://openalex.org/W2066338981","https://openalex.org/W2118849897","https://openalex.org/W2168538666","https://openalex.org/W2200867377","https://openalex.org/W2297086838","https://openalex.org/W2342792048","https://openalex.org/W2468123215","https://openalex.org/W2833792958","https://openalex.org/W6605479355","https://openalex.org/W6610471430","https://openalex.org/W6720115953"],"related_works":["https://openalex.org/W2076543106","https://openalex.org/W2523437662","https://openalex.org/W89844371","https://openalex.org/W2019891950","https://openalex.org/W2085842814","https://openalex.org/W4286643620","https://openalex.org/W2006972926","https://openalex.org/W4387048144","https://openalex.org/W2492135063","https://openalex.org/W2362514456"],"abstract_inverted_index":{"Human":[0],"Activity":[1],"Recognition":[2],"(HAR)":[3],"using":[4,68,76],"built-in":[5],"sensors":[6],"in":[7,23],"a":[8,12,66,82,96,135],"mobile":[9],"phone":[10],"is":[11,29,42,129,134],"very":[13],"active":[14],"research":[15],"area":[16],"to":[17,33,45,85,94],"infer":[18],"the":[19,47,87,107,118,131],"human":[20,35,48,73,147],"daily":[21],"activities":[22],"recent":[24],"years.":[25],"The":[26,79,121],"machine-learning":[27],"algorithm":[28],"an":[30],"important":[31],"role":[32],"determine":[34,46],"activities.":[36],"Although":[37],"Artificial":[38],"Neural":[39],"Network":[40],"(ANN)":[41],"effective":[43],"classifier":[44,67,93,137],"activity":[49,74,148],"recognition,":[50],"its":[51],"performance":[52,98],"mainly":[53],"depends":[54],"on":[55],"selection":[56],"of":[57,99,114,124,143],"hidden":[58,88,109,144],"neuron":[59,89],"nodes.":[60],"In":[61,101],"this":[62,102],"study,":[63],"we":[64,104],"design":[65],"Multi-Layer":[69],"Perceptron":[70],"(MLP)":[71],"for":[72,91,146],"recognition":[75,149],"UCIHAR":[77],"dataset.":[78,120],"study":[80],"introduces":[81],"new":[83],"method":[84,126],"find":[86],"nodes":[90],"ANN":[92,115],"achieve":[95],"better":[97,136],"HAR.":[100],"scenario,":[103],"also":[105],"consider":[106],"optimal":[108],"layers":[110],"and":[111,141],"learning":[112],"rate":[113],"after":[116],"trained":[117],"HAR":[119],"simulation":[122],"result":[123],"proposed":[125,132],"98.32%":[127],"accuracy":[128],"that":[130],"model":[133],"with":[138],"minimal":[139],"errors":[140],"fixation":[142],"neurons":[145],"process.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
