{"id":"https://openalex.org/W2911115010","doi":"https://doi.org/10.1145/3297001.3297040","title":"Emotive Stimuli-triggered Participant-based Clustering Using a Novel Split-and-Merge Algorithm","display_name":"Emotive Stimuli-triggered Participant-based Clustering Using a Novel Split-and-Merge Algorithm","publication_year":2019,"publication_date":"2019-01-03","ids":{"openalex":"https://openalex.org/W2911115010","doi":"https://doi.org/10.1145/3297001.3297040","mag":"2911115010"},"language":"en","primary_location":{"id":"doi:10.1145/3297001.3297040","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3297001.3297040","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM India Joint International Conference on Data Science and Management of Data","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://discovery.ucl.ac.uk/10066178/1/Mukhopadhyay_Emotive%20stimuli-triggered%20participant-based%20clustering%20using%20a%20novel%20split-and-merge%20algorithm_AAM.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110732541","display_name":"Surabhi S Nath","orcid":null},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]},{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Surabhi S. Nath","raw_affiliation_strings":["Computer Science and Engineering, IIIT Delhi, New Delhi, Delhi, India"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, IIIT Delhi, New Delhi, Delhi, India","institution_ids":["https://openalex.org/I119939252","https://openalex.org/I68891433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057197554","display_name":"D. Mukhopadhyay","orcid":"https://orcid.org/0000-0003-4035-4711"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Dyutiman Mukhopadhyay","raw_affiliation_strings":["Experimental Psychology, University College London, London, UK"],"affiliations":[{"raw_affiliation_string":"Experimental Psychology, University College London, London, UK","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049413065","display_name":"Krishna Prasad Miyapuram","orcid":"https://orcid.org/0000-0001-5779-2342"},"institutions":[{"id":"https://openalex.org/I27674431","display_name":"Indian Institute of Technology Gandhinagar","ror":"https://ror.org/0036p5w23","country_code":"IN","type":"education","lineage":["https://openalex.org/I27674431"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Krishna P. Miyapuram","raw_affiliation_strings":["Computer Science and Cognitive Science, IIT Gandhinagar, Gandhinagar, Gujarat, India"],"affiliations":[{"raw_affiliation_string":"Computer Science and Cognitive Science, IIT Gandhinagar, Gandhinagar, Gujarat, India","institution_ids":["https://openalex.org/I27674431"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5110732541"],"corresponding_institution_ids":["https://openalex.org/I119939252","https://openalex.org/I68891433"],"apc_list":null,"apc_paid":null,"fwci":0.124,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.44816802,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"277","last_page":"280"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/emotive","display_name":"Emotive","score":0.7853418588638306},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6796996593475342},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.622004508972168},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5134997963905334},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.5049331784248352},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4791778326034546},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.4589129686355591},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45075884461402893},{"id":"https://openalex.org/keywords/merge","display_name":"Merge (version control)","score":0.4317818880081177},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.3491228222846985}],"concepts":[{"id":"https://openalex.org/C2776215170","wikidata":"https://www.wikidata.org/wiki/Q5373820","display_name":"Emotive","level":2,"score":0.7853418588638306},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6796996593475342},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.622004508972168},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5134997963905334},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.5049331784248352},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4791778326034546},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.4589129686355591},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45075884461402893},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.4317818880081177},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.3491228222846985},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"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/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3297001.3297040","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3297001.3297040","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM India Joint International Conference on Data Science and Management of Data","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10066178","is_oa":true,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10066178/","pdf_url":"https://discovery.ucl.ac.uk/10066178/1/Mukhopadhyay_Emotive%20stimuli-triggered%20participant-based%20clustering%20using%20a%20novel%20split-and-merge%20algorithm_AAM.pdf","source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"     In:  Proceedings of the ACM India Joint International Conference on Data Science and Management of Data.  (pp. pp. 277-280).  The Association for Computing Machinery (2019)     ","raw_type":"Proceedings paper"}],"best_oa_location":{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10066178","is_oa":true,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10066178/","pdf_url":"https://discovery.ucl.ac.uk/10066178/1/Mukhopadhyay_Emotive%20stimuli-triggered%20participant-based%20clustering%20using%20a%20novel%20split-and-merge%20algorithm_AAM.pdf","source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"     In:  Proceedings of the ACM India Joint International Conference on Data Science and Management of Data.  (pp. pp. 277-280).  The Association for Computing Machinery (2019)     ","raw_type":"Proceedings paper"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320318581","display_name":"Indian Institute of Technology Gandhinagar","ror":"https://ror.org/0036p5w23"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2911115010.pdf","grobid_xml":"https://content.openalex.org/works/W2911115010.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W1977338037","https://openalex.org/W1988998152","https://openalex.org/W2019664625","https://openalex.org/W2110444396","https://openalex.org/W2125387256","https://openalex.org/W2152977277","https://openalex.org/W2160197181","https://openalex.org/W2313108227","https://openalex.org/W2775675437","https://openalex.org/W3103528947"],"related_works":["https://openalex.org/W3004257401","https://openalex.org/W603725405","https://openalex.org/W2263121790","https://openalex.org/W4248663371","https://openalex.org/W2137460703","https://openalex.org/W3167630016","https://openalex.org/W1966281075","https://openalex.org/W2978897034","https://openalex.org/W2786096260","https://openalex.org/W2385515133"],"abstract_inverted_index":{"EEG":[0,20,102,204],"signal":[1,103],"analysis":[2],"is":[3,21,192],"a":[4,81,135,163,194,200],"powerful":[5],"technique":[6],"to":[7,24,41,49,54,60,66,70,92,120,182],"decode":[8],"the":[9,12,56,74,108,157,169,189,215],"activities":[10],"of":[11,58,73,84,162,196,203,217],"human":[13],"brain.":[14],"Emotion":[15],"detection":[16],"among":[17],"individuals":[18],"using":[19,107,134],"often":[22],"reported":[23],"classify":[25],"people":[26,38],"based":[27],"on":[28,80,208],"emotions.":[29],"We":[30,51,186],"questioned":[31],"this":[32],"observation":[33],"and":[34,44,123,126,138,150,223],"hypothesized":[35],"that":[36,156,188],"different":[37,98],"respond":[39],"differently":[40],"emotional":[42,62,99],"stimuli":[43,63],"have":[45],"an":[46,197],"intrinsic":[47],"predisposition":[48],"respond.":[50],"designed":[52],"experiments":[53,77],"study":[55],"responses":[57,161],"participants":[59,86],"various":[61],"in":[64,159,175,219],"order":[65],"compare":[67],"participant-wise":[68],"categorization":[69,72],"emotion-wise":[71],"data.":[75],"The":[76,101,114,142],"were":[78,129],"conducted":[79],"homogeneous":[82],"set":[83],"20":[85],"by":[87],"administering":[88],"9":[89],"short,":[90],"one":[91],"two":[93],"minute":[94],"movie":[95],"clips":[96],"depicting":[97],"content.":[100],"data":[104,115,143],"was":[105,116,132,144,154,165],"recorded":[106],"128":[109],"channel":[110],"high-density":[111],"geodesic":[112],"net.":[113],"filtered,":[117],"segmented,":[118],"converted":[119],"frequency":[121],"domain":[122],"alpha,":[124],"beta":[125],"theta":[127],"ranges":[128],"extracted.":[130],"Clustering":[131],"performed":[133],"novel":[136],"recursive-split":[137],"merge":[139],"unsupervised":[140],"algorithm.":[141],"analyzed":[145],"through":[146],"confusion":[147],"matrices,":[148],"plots":[149],"normalization":[151],"techniques.":[152],"It":[153],"found":[155],"variation":[158,170],"emotive":[160,183,190],"participant":[164],"significantly":[166],"lower":[167],"than":[168],"across":[171],"participants.":[172],"This":[173],"resulted":[174],"more":[176],"efficient":[177],"participant-based":[178],"clustering":[179],"as":[180],"compared":[181],"stimuli-based":[184],"clustering.":[185],"concluded":[187],"response":[191],"perhaps":[193],"signature":[195],"individual":[198],"with":[199],"characteristic":[201],"pattern":[202],"signals.":[205],"Our":[206],"findings":[207],"further":[209],"experimentation":[210],"will":[211],"prove":[212],"valuable":[213],"for":[214],"progress":[216],"research":[218],"cognitive":[220],"sciences,":[221],"security":[222],"other":[224],"related":[225],"areas.":[226]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}