{"id":"https://openalex.org/W4360585322","doi":"https://doi.org/10.1109/ic3i56241.2022.10072905","title":"Prediction of Insufficient Accuracy for Human Activity Recognition using Convolutional Neural Network in Compared with Support Vector Machine","display_name":"Prediction of Insufficient Accuracy for Human Activity Recognition using Convolutional Neural Network in Compared with Support Vector Machine","publication_year":2022,"publication_date":"2022-12-14","ids":{"openalex":"https://openalex.org/W4360585322","doi":"https://doi.org/10.1109/ic3i56241.2022.10072905"},"language":"en","primary_location":{"id":"doi:10.1109/ic3i56241.2022.10072905","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3i56241.2022.10072905","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 5th International Conference on Contemporary Computing and Informatics (IC3I)","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/A5108053398","display_name":"M. Saravanan","orcid":"https://orcid.org/0009-0008-8152-0839"},"institutions":[{"id":"https://openalex.org/I85461943","display_name":"Saveetha University","ror":"https://ror.org/0034me914","country_code":"IN","type":"education","lineage":["https://openalex.org/I85461943"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"M.S Saravanan","raw_affiliation_strings":["Saveetha School of Engineering SIMATS,Department of Artificial Intelligence,Chennai,India","Department of Artificial Intelligence, Saveetha School of Engineering SIMATS, Chennai, India"],"affiliations":[{"raw_affiliation_string":"Saveetha School of Engineering SIMATS,Department of Artificial Intelligence,Chennai,India","institution_ids":["https://openalex.org/I85461943"]},{"raw_affiliation_string":"Department of Artificial Intelligence, Saveetha School of Engineering SIMATS, Chennai, India","institution_ids":["https://openalex.org/I85461943"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108765070","display_name":"Sai Charan","orcid":null},"institutions":[{"id":"https://openalex.org/I85461943","display_name":"Saveetha University","ror":"https://ror.org/0034me914","country_code":"IN","type":"education","lineage":["https://openalex.org/I85461943"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sai Charan","raw_affiliation_strings":["Saveetha School of Engineering SIMATS,Department of Artificial Intelligence,Chennai,India","Department of Artificial Intelligence, Saveetha School of Engineering SIMATS, Chennai, India"],"affiliations":[{"raw_affiliation_string":"Saveetha School of Engineering SIMATS,Department of Artificial Intelligence,Chennai,India","institution_ids":["https://openalex.org/I85461943"]},{"raw_affiliation_string":"Department of Artificial Intelligence, Saveetha School of Engineering SIMATS, Chennai, India","institution_ids":["https://openalex.org/I85461943"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5108053398"],"corresponding_institution_ids":["https://openalex.org/I85461943"],"apc_list":null,"apc_paid":null,"fwci":1.263,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.82908208,"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9980000257492065,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9980000257492065,"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":0.9934999942779541,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9898999929428101,"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/support-vector-machine","display_name":"Support vector machine","score":0.8599991202354431},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.833210825920105},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7495889663696289},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6652088165283203},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6504390835762024},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5247050523757935},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5008358955383301},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.43129995465278625},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13360828161239624},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12159931659698486}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8599991202354431},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.833210825920105},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7495889663696289},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6652088165283203},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6504390835762024},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5247050523757935},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5008358955383301},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.43129995465278625},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13360828161239624},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12159931659698486}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ic3i56241.2022.10072905","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3i56241.2022.10072905","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 5th International Conference on Contemporary Computing and Informatics (IC3I)","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":7,"referenced_works":["https://openalex.org/W2478163066","https://openalex.org/W2787326408","https://openalex.org/W2981018396","https://openalex.org/W3011275915","https://openalex.org/W3021430260","https://openalex.org/W3118054728","https://openalex.org/W4236891840"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W4293226380","https://openalex.org/W148178222","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W1910826599","https://openalex.org/W1980100242","https://openalex.org/W2530420969","https://openalex.org/W2051187167"],"abstract_inverted_index":{"This":[0,163,198],"work":[1],"seeks":[2],"to":[3,18,38,60],"anticipate":[4],"human":[5,23,69,170,211],"action":[6,70,171,212],"detection":[7],"and":[8,21,32,49,64,93,109,119,140,191],"assess":[9],"its":[10],"health":[11],"in":[12,16,56,160],"machine":[13,161],"learning":[14],"algorithms":[15],"order":[17],"increase":[19],"accuracy":[20,139,150,168],"detect":[22],"activity.":[24],"The":[25,76],"framework":[26],"categories":[27],"Support":[28,51,156,216],"Vector":[29,52,157,217],"Machines":[30],"(SVM)":[31],"Novel":[33,175],"Convolutional":[34,46,132,176,203],"Neural":[35,47,133,177,204],"Networks":[36],"(CNN)":[37],"achieve":[39],"these":[40],"goals":[41],"(SVM).":[42],"A":[43],"wholly":[44],"unique":[45],"Network":[48,134,178,205],"a":[50,127,181,192],"Machine":[53,158,218],"were":[54,96],"used":[55],"this":[57,146],"analytical":[58],"investigation":[59],"finish":[61],"the":[62,66,104,123,130,142,155,174,202,215],"processes":[63],"give":[65],"best":[67],"accurate":[68],"recognition":[71],"for":[72,151,169],"neighboring":[73],"video":[74],"frames.":[75],"analysis":[77,172,213],"study":[78,107,147,164,199],"collected":[79],"forty":[80],"seven":[81],"samples":[82],"with":[83,88,103,154,180],"2":[84,185],"teams":[85],"of":[86,129,184,188],"calculation":[87],"an":[89],"eighty":[90],"p.c":[91,111,117,138,167,195],"G-power":[92],"their":[94],"activities":[95],"no":[97],"heritable":[98],"from":[99],"varied":[100],"on-line":[101],"sources":[102],"foremost":[105],"recent":[106],"findings":[108],"0.05":[110],"threshold,":[112],"confidence":[113,196],"interval":[114],"ninety":[115,193],"five":[116,194],"mean":[118],"variance.":[120],"To":[121],"forecast":[122],"activity":[124,152],"analysis,":[125],"as":[126],"result":[128],"novel":[131],"formula":[135,159],"discovered":[136,165],"93.83":[137],"also":[141],"native":[143],"invariant":[144],"approaches,":[145],"needs":[148],"bigger":[149],"prediction":[153],"learning.":[162],"90.12":[166],"utilizing":[173],"technique,":[179],"major":[182],"price":[183],"caudate":[186],"tests":[187],"0.013":[189],"(p0.05)":[190],"interval.":[197],"shows":[200],"that":[201],"technique":[206],"performs":[207],"far":[208],"better":[209],"on":[210],"than":[214],"technique.":[219]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
