{"id":"https://openalex.org/W4295706139","doi":"https://doi.org/10.1145/3551690.3551696","title":"Student Physical Violence Detection using Convolutional Neural Networks","display_name":"Student Physical Violence Detection using Convolutional Neural Networks","publication_year":2022,"publication_date":"2022-07-13","ids":{"openalex":"https://openalex.org/W4295706139","doi":"https://doi.org/10.1145/3551690.3551696"},"language":"en","primary_location":{"id":"doi:10.1145/3551690.3551696","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3551690.3551696","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 The 12th International Conference on Information Communication and Management","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/A5010321764","display_name":"John Clement Suladay Escobanez","orcid":"https://orcid.org/0009-0007-0727-6711"},"institutions":[{"id":"https://openalex.org/I2800060660","display_name":"Polytechnic University of the Philippines","ror":"https://ror.org/00e7vmq69","country_code":"PH","type":"education","lineage":["https://openalex.org/I2800060660"]}],"countries":["PH"],"is_corresponding":true,"raw_author_name":"John Clement Suladay Escobanez","raw_affiliation_strings":["Polytechnic University of the Philippines, Philippines"],"affiliations":[{"raw_affiliation_string":"Polytechnic University of the Philippines, Philippines","institution_ids":["https://openalex.org/I2800060660"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036886468","display_name":"Benilda Eleonor V. Comendador","orcid":null},"institutions":[{"id":"https://openalex.org/I2800060660","display_name":"Polytechnic University of the Philippines","ror":"https://ror.org/00e7vmq69","country_code":"PH","type":"education","lineage":["https://openalex.org/I2800060660"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Benilda Eleonor Comendador","raw_affiliation_strings":["Polytechnic University of the Philippines, Philippines"],"affiliations":[{"raw_affiliation_string":"Polytechnic University of the Philippines, Philippines","institution_ids":["https://openalex.org/I2800060660"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5010321764"],"corresponding_institution_ids":["https://openalex.org/I2800060660"],"apc_list":null,"apc_paid":null,"fwci":0.2013,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.47494363,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"34","last_page":"38"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9987999796867371,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9987999796867371,"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":0.9944000244140625,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9538000226020813,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8240870237350464},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6500267386436462},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.638119637966156},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5472275614738464},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5165740251541138},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5075947046279907},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4758572280406952},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.4555432200431824},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4469642639160156},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42217424511909485},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.39787033200263977},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06612810492515564}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8240870237350464},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6500267386436462},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.638119637966156},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5472275614738464},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5165740251541138},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5075947046279907},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4758572280406952},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.4555432200431824},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4469642639160156},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42217424511909485},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.39787033200263977},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06612810492515564},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3551690.3551696","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3551690.3551696","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 The 12th International Conference on Information Communication and Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2013357987","https://openalex.org/W2609743871","https://openalex.org/W2777592532","https://openalex.org/W2962730651","https://openalex.org/W2963524571","https://openalex.org/W2979675262","https://openalex.org/W2981660954","https://openalex.org/W2996745432","https://openalex.org/W3194627116","https://openalex.org/W4231464604"],"related_works":["https://openalex.org/W2032233321","https://openalex.org/W3121970507","https://openalex.org/W2110028391","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3167935049","https://openalex.org/W3029198973"],"abstract_inverted_index":{"Physical":[0],"bullying":[1,112,143],"has":[2,74],"been":[3,75],"an":[4,82],"evident":[5],"issue":[6],"in":[7,22,26,30,48,71,84,126,145],"the":[8,23,31,94,138,146],"Philippines":[9],"and":[10,39,86,107,117],"Global":[11],"Context.":[12],"Thus,":[13],"it":[14,53,136],"was":[15],"widely":[16],"recognized":[17],"as":[18,101,114],"a":[19,51,55,123],"major":[20],"threat":[21],"younger":[24],"generation":[25],"almost":[27],"every":[28],"country":[29],"world.":[32],"It":[33],"includes":[34],"wide":[35],"variety":[36],"of":[37,110,140],"acts":[38],"contexts.":[40],"As":[41,50],"worst":[42],"reality,":[43],"physical":[44,111,142],"violence":[45],"happens":[46],"mostly":[47],"schools.":[49],"result,":[52],"affects":[54],"person":[56],"not":[57],"only":[58],"physically":[59],"but":[60],"also":[61],"mentally":[62],"that":[63],"even":[64],"leads":[65],"to":[66,80,105],"death.":[67],"Nowadays,":[68],"numerous":[69],"research":[70],"action":[72],"recognition":[73],"done":[76],"through":[77],"Machine":[78],"Learning":[79],"provide":[81],"assistance":[83],"predicting":[85],"recognizing":[87],"actions":[88,109,129],"using":[89,130,148],"cameras.":[90],"In":[91],"this":[92],"paper,":[93],"researcher":[95],"utilized":[96],"machine":[97],"learning":[98],"algorithms":[99],"such":[100,113,128],"Convolutional":[102,131],"Neural":[103,132],"Networks":[104],"train":[106],"recognize":[108],"Kicking,":[115],"Punching,":[116],"Head":[118],"Hitting.":[119],"The":[120],"findings":[121],"revealed":[122],"positive":[124],"result":[125],"detecting":[127],"Networks.":[133],"With":[134],"such,":[135],"enables":[137],"prevention":[139],"further":[141],"occurrences":[144],"future":[147],"CCTV":[149],"Cameras.":[150]},"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
