{"id":"https://openalex.org/W2115732803","doi":"https://doi.org/10.1109/icme.2008.4607628","title":"Emotion recognition based on pressure sensor keyboards","display_name":"Emotion recognition based on pressure sensor keyboards","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2115732803","doi":"https://doi.org/10.1109/icme.2008.4607628","mag":"2115732803"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2008.4607628","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2008.4607628","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Multimedia and Expo","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/A5074195858","display_name":"Hairong Lv","orcid":"https://orcid.org/0000-0003-1568-6861"},"institutions":[{"id":"https://openalex.org/I4210126794","display_name":"IBM Research (China)","ror":"https://ror.org/02yg1pf55","country_code":"CN","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210126794"]},{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["CN","US"],"is_corresponding":true,"raw_author_name":"Hai-Rong Lv","raw_affiliation_strings":["IBM China Research Laboratory, USA","IBM China Research Lab, Beijing,"],"affiliations":[{"raw_affiliation_string":"IBM China Research Laboratory, USA","institution_ids":["https://openalex.org/I4210126794"]},{"raw_affiliation_string":"IBM China Research Lab, Beijing,","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088248842","display_name":"Zhonglin Lin","orcid":"https://orcid.org/0000-0003-2462-6721"},"institutions":[{"id":"https://openalex.org/I4210126794","display_name":"IBM Research (China)","ror":"https://ror.org/02yg1pf55","country_code":"CN","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210126794"]},{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Zhong-Lin Lin","raw_affiliation_strings":["IBM China Research Laboratory, USA","IBM China Research Lab, Beijing,"],"affiliations":[{"raw_affiliation_string":"IBM China Research Laboratory, USA","institution_ids":["https://openalex.org/I4210126794"]},{"raw_affiliation_string":"IBM China Research Lab, Beijing,","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010801407","display_name":"Wenjun Yin","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]},{"id":"https://openalex.org/I4210126794","display_name":"IBM Research (China)","ror":"https://ror.org/02yg1pf55","country_code":"CN","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210126794"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Wen-Jun Yin","raw_affiliation_strings":["IBM China Research Laboratory, USA","IBM China Research Lab, Beijing,"],"affiliations":[{"raw_affiliation_string":"IBM China Research Laboratory, USA","institution_ids":["https://openalex.org/I4210126794"]},{"raw_affiliation_string":"IBM China Research Lab, Beijing,","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085067496","display_name":"Jin Song Dong","orcid":"https://orcid.org/0000-0002-6512-8326"},"institutions":[{"id":"https://openalex.org/I4210126794","display_name":"IBM Research (China)","ror":"https://ror.org/02yg1pf55","country_code":"CN","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210126794"]},{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Jin Dong","raw_affiliation_strings":["IBM China Research Laboratory, USA","IBM China Research Lab, Beijing,"],"affiliations":[{"raw_affiliation_string":"IBM China Research Laboratory, USA","institution_ids":["https://openalex.org/I4210126794"]},{"raw_affiliation_string":"IBM China Research Lab, Beijing,","institution_ids":["https://openalex.org/I1341412227"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5074195858"],"corresponding_institution_ids":["https://openalex.org/I1341412227","https://openalex.org/I4210126794"],"apc_list":null,"apc_paid":null,"fwci":1.8663,"has_fulltext":false,"cited_by_count":68,"citation_normalized_percentile":{"value":0.86239691,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1089","last_page":"1092"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11309","display_name":"Music and Audio Processing","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9887999892234802,"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/keystroke-dynamics","display_name":"Keystroke dynamics","score":0.90233314037323},{"id":"https://openalex.org/keywords/sadness","display_name":"Sadness","score":0.7908831834793091},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7325724363327026},{"id":"https://openalex.org/keywords/surprise","display_name":"Surprise","score":0.6577224135398865},{"id":"https://openalex.org/keywords/dynamic-time-warping","display_name":"Dynamic time warping","score":0.5710678100585938},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4985029697418213},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.48777109384536743},{"id":"https://openalex.org/keywords/pressure-sensor","display_name":"Pressure sensor","score":0.4717581868171692},{"id":"https://openalex.org/keywords/emotion-classification","display_name":"Emotion classification","score":0.46655434370040894},{"id":"https://openalex.org/keywords/happiness","display_name":"Happiness","score":0.46462637186050415},{"id":"https://openalex.org/keywords/keystroke-logging","display_name":"Keystroke logging","score":0.4486052989959717},{"id":"https://openalex.org/keywords/anger","display_name":"Anger","score":0.4420495629310608},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.41945821046829224},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3826448321342468},{"id":"https://openalex.org/keywords/password","display_name":"Password","score":0.22103604674339294},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.12256112694740295},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.10168355703353882},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08854365348815918}],"concepts":[{"id":"https://openalex.org/C79540074","wikidata":"https://www.wikidata.org/wiki/Q3269465","display_name":"Keystroke dynamics","level":4,"score":0.90233314037323},{"id":"https://openalex.org/C2779812673","wikidata":"https://www.wikidata.org/wiki/Q169251","display_name":"Sadness","level":3,"score":0.7908831834793091},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7325724363327026},{"id":"https://openalex.org/C2780343955","wikidata":"https://www.wikidata.org/wiki/Q333173","display_name":"Surprise","level":2,"score":0.6577224135398865},{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.5710678100585938},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4985029697418213},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.48777109384536743},{"id":"https://openalex.org/C41325743","wikidata":"https://www.wikidata.org/wiki/Q1261040","display_name":"Pressure sensor","level":2,"score":0.4717581868171692},{"id":"https://openalex.org/C206310091","wikidata":"https://www.wikidata.org/wiki/Q750859","display_name":"Emotion classification","level":2,"score":0.46655434370040894},{"id":"https://openalex.org/C2778999518","wikidata":"https://www.wikidata.org/wiki/Q8","display_name":"Happiness","level":2,"score":0.46462637186050415},{"id":"https://openalex.org/C161615301","wikidata":"https://www.wikidata.org/wiki/Q309396","display_name":"Keystroke logging","level":2,"score":0.4486052989959717},{"id":"https://openalex.org/C2779302386","wikidata":"https://www.wikidata.org/wiki/Q79871","display_name":"Anger","level":2,"score":0.4420495629310608},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.41945821046829224},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3826448321342468},{"id":"https://openalex.org/C109297577","wikidata":"https://www.wikidata.org/wiki/Q161157","display_name":"Password","level":2,"score":0.22103604674339294},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12256112694740295},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.10168355703353882},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08854365348815918},{"id":"https://openalex.org/C4957475","wikidata":"https://www.wikidata.org/wiki/Q242186","display_name":"S/KEY","level":3,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme.2008.4607628","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2008.4607628","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Multimedia and Expo","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":12,"referenced_works":["https://openalex.org/W2017439879","https://openalex.org/W2086620637","https://openalex.org/W2091096948","https://openalex.org/W2107661464","https://openalex.org/W2107749192","https://openalex.org/W2128160875","https://openalex.org/W2133019815","https://openalex.org/W2133164461","https://openalex.org/W2158877422","https://openalex.org/W2166776077","https://openalex.org/W4236953379","https://openalex.org/W6654805681"],"related_works":["https://openalex.org/W2052279280","https://openalex.org/W3094144434","https://openalex.org/W2159333170","https://openalex.org/W3169822312","https://openalex.org/W2155670618","https://openalex.org/W2031617473","https://openalex.org/W1573560902","https://openalex.org/W2288132303","https://openalex.org/W3207472710","https://openalex.org/W4244802227"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"a":[3,19,30,44,99,108],"new":[4,20],"approach":[5],"to":[6],"emotion":[7,68,88,145],"recognition":[8,89,146],"based":[9],"on":[10,107],"pressure":[11,15,31,40,65,75],"sensor":[12,16],"keyboards.":[13],"The":[14,36],"keyboard":[17],"is":[18],"product":[21],"that":[22],"occurs":[23],"in":[24,55],"the":[25,39,64,87,94,127,134],"market":[26],"recently,":[27],"which":[28],"produces":[29],"sequence":[32,41,66],"when":[33],"keystroke":[34,82],"occurs.":[35],"analysis":[37],"of":[38,74,140,144],"should":[42],"be":[43],"novel":[45],"research":[46],"area.":[47],"It":[48],"has":[49,147],"been":[50,148],"used":[51,149],"for":[52,67,86,150],"identity":[53],"verification":[54],"our":[56],"previous":[57],"research.":[58],"In":[59],"this":[60],"paper,":[61],"we":[62,92],"use":[63],"recognition.":[69],"Three":[70],"methods":[71,96],"(global":[72],"features":[73],"sequences,":[76],"dynamic":[77],"time":[78],"warping":[79],"and":[80,124,126,154],"traditional":[81],"dynamics)":[83],"are":[84],"proposed":[85],"task;":[90],"then":[91],"combined":[93],"three":[95],"together":[97],"using":[98],"classifier":[100],"fusion":[101],"technique.":[102],"Several":[103],"experiments":[104],"were":[105,130],"performed":[106],"database":[109],"containing":[110],"3000":[111],"samples":[112],"(from":[113],"50":[114],"individuals,":[115],"including":[116],"six":[117],"emotions:":[118],"neutral,":[119],"anger,":[120],"fear,":[121],"happiness,":[122],"sadness":[123],"surprise)":[125],"best":[128],"result":[129],"achieved":[131],"utilizing":[132],"all":[133],"method,":[135],"obtaining":[136],"an":[137],"overall":[138],"accuracy":[139],"93.4%.":[141],"Our":[142],"technique":[143],"intelligent":[151],"game":[152],"controlling":[153],"several":[155],"other":[156],"applications.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}