{"id":"https://openalex.org/W2181376205","doi":"https://doi.org/10.1109/acii.2015.7344644","title":"Automatic discrimination of laughter using distributed sEMG","display_name":"Automatic discrimination of laughter using distributed sEMG","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2181376205","doi":"https://doi.org/10.1109/acii.2015.7344644","mag":"2181376205"},"language":"en","primary_location":{"id":"doi:10.1109/acii.2015.7344644","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acii.2015.7344644","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Affective Computing and Intelligent Interaction (ACII)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://discovery.ucl.ac.uk/1476179/1/PID3865069_Final.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075062978","display_name":"Sarah Cosentino","orcid":"https://orcid.org/0000-0002-6549-7842"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"S. Cosentino","raw_affiliation_strings":["Faculty of Science and Engineering, Waseda University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Science and Engineering, Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016913379","display_name":"Salvatore Sessa","orcid":"https://orcid.org/0000-0003-3540-8121"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"S. Sessa","raw_affiliation_strings":["Faculty of Science and Engineering, Waseda University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Science and Engineering, Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107936947","display_name":"W. Kong","orcid":"https://orcid.org/0009-0004-5768-3874"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"W. Kong","raw_affiliation_strings":["Faculty of Science and Engineering, Waseda University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Science and Engineering, Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081111422","display_name":"D. Zhang","orcid":"https://orcid.org/0009-0009-8550-6089"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"D. Zhang","raw_affiliation_strings":["Faculty of Science and Engineering, Waseda University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Science and Engineering, Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075328170","display_name":"Atsuo Takanishi","orcid":"https://orcid.org/0009-0009-9388-9278"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"A. Takanishi","raw_affiliation_strings":["Faculty of Science and Engineering, Waseda University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Science and Engineering, Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072897829","display_name":"Nadia Bianchi\u2010Berthouze","orcid":"https://orcid.org/0000-0001-8921-0044"},"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":"N. Bianchi-Berthouze","raw_affiliation_strings":["UCL Interaction Centre, University College of London (UCL), London, UK"],"affiliations":[{"raw_affiliation_string":"UCL Interaction Centre, University College of London (UCL), London, UK","institution_ids":["https://openalex.org/I45129253"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5075062978"],"corresponding_institution_ids":["https://openalex.org/I150744194"],"apc_list":null,"apc_paid":null,"fwci":0.1818,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.56433897,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"15","issue":null,"first_page":"691","last_page":"697"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.9911999702453613,"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"}},"topics":[{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.9911999702453613,"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"}},{"id":"https://openalex.org/T10338","display_name":"Advanced Sensor and Energy Harvesting Materials","score":0.9907000064849854,"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"}},{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9829000234603882,"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/laughter","display_name":"Laughter","score":0.928013801574707},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7147983908653259},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6693213582038879},{"id":"https://openalex.org/keywords/electromyography","display_name":"Electromyography","score":0.5617121458053589},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5303106307983398},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.5090345740318298},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.39421987533569336},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39313313364982605},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34407293796539307},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.17394950985908508},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.09402227401733398}],"concepts":[{"id":"https://openalex.org/C2780775679","wikidata":"https://www.wikidata.org/wiki/Q170579","display_name":"Laughter","level":2,"score":0.928013801574707},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7147983908653259},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6693213582038879},{"id":"https://openalex.org/C2777515770","wikidata":"https://www.wikidata.org/wiki/Q507369","display_name":"Electromyography","level":2,"score":0.5617121458053589},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5303106307983398},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.5090345740318298},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.39421987533569336},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39313313364982605},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34407293796539307},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.17394950985908508},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.09402227401733398},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/acii.2015.7344644","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acii.2015.7344644","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Affective Computing and Intelligent Interaction (ACII)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:1476179","is_oa":true,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/1476179/","pdf_url":"https://discovery.ucl.ac.uk/1476179/1/PID3865069_Final.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:  2015 International Conference on Affective Computing and Intelligent Interaction (ACII).  (pp. pp. 691-697).  IEEE: Xi'an, China. (2015)     ","raw_type":"Proceedings paper"}],"best_oa_location":{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:1476179","is_oa":true,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/1476179/","pdf_url":"https://discovery.ucl.ac.uk/1476179/1/PID3865069_Final.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:  2015 International Conference on Affective Computing and Intelligent Interaction (ACII).  (pp. pp. 691-697).  IEEE: Xi'an, China. (2015)     ","raw_type":"Proceedings paper"},"sustainable_development_goals":[{"score":0.5299999713897705,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"},{"score":0.49000000953674316,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2181376205.pdf","grobid_xml":"https://content.openalex.org/works/W2181376205.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W152150158","https://openalex.org/W206810795","https://openalex.org/W1506058364","https://openalex.org/W1520297327","https://openalex.org/W1562563659","https://openalex.org/W1570448133","https://openalex.org/W1591747970","https://openalex.org/W1749601410","https://openalex.org/W1891514588","https://openalex.org/W1984687427","https://openalex.org/W1989501660","https://openalex.org/W2008437975","https://openalex.org/W2014592941","https://openalex.org/W2024221294","https://openalex.org/W2036409397","https://openalex.org/W2039551727","https://openalex.org/W2047692672","https://openalex.org/W2054879867","https://openalex.org/W2082947885","https://openalex.org/W2089265882","https://openalex.org/W2091039333","https://openalex.org/W2097911007","https://openalex.org/W2103972499","https://openalex.org/W2119555094","https://openalex.org/W2122114461","https://openalex.org/W2123167643","https://openalex.org/W2134473538","https://openalex.org/W2136022343","https://openalex.org/W2137552275","https://openalex.org/W2140035970","https://openalex.org/W2147400761","https://openalex.org/W2149447901","https://openalex.org/W2155890799","https://openalex.org/W2164637038","https://openalex.org/W2261689567","https://openalex.org/W2277258511","https://openalex.org/W2285921677","https://openalex.org/W2479414554","https://openalex.org/W2489108433","https://openalex.org/W4235534324","https://openalex.org/W4244232801","https://openalex.org/W6606192499","https://openalex.org/W6630443456","https://openalex.org/W6631268982","https://openalex.org/W6634094483","https://openalex.org/W6635352761","https://openalex.org/W6680731038"],"related_works":["https://openalex.org/W2760111529","https://openalex.org/W4304693785","https://openalex.org/W3081604601","https://openalex.org/W4238600753","https://openalex.org/W2103493245","https://openalex.org/W4298012685","https://openalex.org/W2391280397","https://openalex.org/W2174919855","https://openalex.org/W4385559915","https://openalex.org/W2063843262"],"abstract_inverted_index":{"Laughter":[0],"is":[1,9,163,225],"a":[2,12,18,29,115,122,180],"very":[3,32],"interesting":[4],"non-verbal":[5],"human":[6],"vocalization.":[7],"It":[8],"classified":[10],"as":[11,222],"semi":[13],"voluntary":[14],"behavior":[15,118],"despite":[16],"being":[17,215],"direct":[19],"form":[20],"of":[21,31,55,81,96,114,124,131,145,154,193,202,205],"social":[22,117],"interaction,":[23],"and":[24,37,43,98,112,143],"can":[25],"be":[26,86,106,159],"elicited":[27],"by":[28],"variety":[30,123],"different":[33,125,167,203,246],"stimuli,":[34],"both":[35],"cognitive":[36],"physical.":[38],"Automatic":[39],"laughter":[40,120,237],"detection,":[41],"analysis":[42,144,178],"classification":[44],"will":[45],"boost":[46],"progress":[47],"in":[48,75,88,121],"affective":[49],"computing,":[50],"leading":[51],"to":[52,92,165,171],"the":[53,71,129,138,141,152,186,190,194,199,217,223],"development":[54],"more":[56,227],"natural":[57,110],"human-machine":[58],"communication":[59],"interfaces.":[60],"Surface":[61],"Electromyography":[62],"(sEMG)":[63],"on":[64,70,137,179,185,245],"abdominal":[65,230],"muscles":[66,157],"or":[67,212],"invasive":[68],"EMG":[69,168],"larynx":[72,156,172],"show":[73],"potential":[74],"this":[76,102,150,233],"direction,":[77],"but":[78],"these":[79],"kinds":[80],"EMG-based":[82],"sensing":[83,196],"systems":[84],"cannot":[85,105,158],"used":[87,108],"ecological":[89],"settings":[90],"due":[91],"their":[93],"size,":[94],"lack":[95],"reusability":[97],"uncomfortable":[99],"setup.":[100],"For":[101],"reason,":[103],"they":[104],"easily":[107],"for":[109,140],"detection":[111,142],"measurement":[113],"volatile":[116],"like":[119,207],"situations.":[126],"We":[127],"propose":[128],"use":[130],"miniaturized,":[132],"wireless,":[133],"dry-electrode":[134],"sEMG":[135,177],"sensors":[136],"neck":[139,187,224],"laughter.":[146],"Even":[147],"if":[148],"with":[149,241],"solution":[151],"activation":[153],"specific":[155],"precisely":[160],"measured,":[161],"it":[162],"possible":[164],"detect":[166],"patterns":[169],"related":[170],"function.":[173],"In":[174,232],"addition,":[175],"integrating":[176],"multisensory":[181],"compact":[182],"system":[183,243],"positioned":[184],"would":[188],"improve":[189],"overall":[191],"robustness":[192],"whole":[195],"system,":[197],"enabling":[198],"synchronized":[200],"measure":[201],"characteristics":[204],"laughter,":[206],"vocal":[208],"production,":[209],"head":[210],"movement":[211],"facial":[213],"expression;":[214],"at":[216],"same":[218],"time":[219],"less":[220],"intrusive,":[221],"normally":[226],"accessible":[228],"than":[229],"muscles.":[231],"paper,":[234],"we":[235],"report":[236],"discrimination":[238],"rate":[239],"obtained":[240],"our":[242],"depending":[244],"conditions.":[247]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}