{"id":"https://openalex.org/W4378804455","doi":"https://doi.org/10.1145/3592686.3592728","title":"Emotion recognition based on millimeter wave radar","display_name":"Emotion recognition based on millimeter wave radar","publication_year":2023,"publication_date":"2023-02-10","ids":{"openalex":"https://openalex.org/W4378804455","doi":"https://doi.org/10.1145/3592686.3592728"},"language":"en","primary_location":{"id":"doi:10.1145/3592686.3592728","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3592686.3592728","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 3rd International Conference on Bioinformatics and Intelligent Computing","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/A5073739359","display_name":"Kelong Zeng","orcid":"https://orcid.org/0009-0002-9307-4377"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kelong Zeng","raw_affiliation_strings":["School of Electronic and Information Engineering, Southwest University, China"],"raw_orcid":"https://orcid.org/0009-0002-9307-4377","affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Southwest University, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031291553","display_name":"Guangyuan Liu","orcid":"https://orcid.org/0000-0002-8058-5947"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangyuan Liu","raw_affiliation_strings":["School of Electronic and Information Engineering, Southwest University, China"],"raw_orcid":"https://orcid.org/0000-0002-8058-5947","affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Southwest University, China","institution_ids":["https://openalex.org/I142108993"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5073739359"],"corresponding_institution_ids":["https://openalex.org/I142108993"],"apc_list":null,"apc_paid":null,"fwci":1.4925,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.82167887,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"232","last_page":"236"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9979000091552734,"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"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9979000091552734,"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"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9952999949455261,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9886999726295471,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/heartbeat","display_name":"Heartbeat","score":0.9025976657867432},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6576646566390991},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6459687948226929},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5749532580375671},{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.5654140114784241},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.544564425945282},{"id":"https://openalex.org/keywords/happiness","display_name":"Happiness","score":0.5373773574829102},{"id":"https://openalex.org/keywords/extremely-high-frequency","display_name":"Extremely high frequency","score":0.4847871661186218},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.45438942313194275},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3899933993816376},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35874587297439575},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.17274513840675354},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15208876132965088},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.09428468346595764}],"concepts":[{"id":"https://openalex.org/C13852961","wikidata":"https://www.wikidata.org/wiki/Q17021880","display_name":"Heartbeat","level":2,"score":0.9025976657867432},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6576646566390991},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6459687948226929},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5749532580375671},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.5654140114784241},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.544564425945282},{"id":"https://openalex.org/C2778999518","wikidata":"https://www.wikidata.org/wiki/Q8","display_name":"Happiness","level":2,"score":0.5373773574829102},{"id":"https://openalex.org/C45764600","wikidata":"https://www.wikidata.org/wiki/Q570342","display_name":"Extremely high frequency","level":2,"score":0.4847871661186218},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.45438942313194275},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3899933993816376},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35874587297439575},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.17274513840675354},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15208876132965088},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.09428468346595764},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3592686.3592728","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3592686.3592728","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 3rd International Conference on Bioinformatics and Intelligent Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1480583224","https://openalex.org/W1976725440","https://openalex.org/W1997834106","https://openalex.org/W2117645142","https://openalex.org/W2156503193","https://openalex.org/W2164368909","https://openalex.org/W2778978785","https://openalex.org/W2810418809","https://openalex.org/W2888111194","https://openalex.org/W3089079408","https://openalex.org/W3114093034","https://openalex.org/W3201441384"],"related_works":["https://openalex.org/W4385543909","https://openalex.org/W2032086542","https://openalex.org/W2347830809","https://openalex.org/W3039320222","https://openalex.org/W2377373329","https://openalex.org/W4386390828","https://openalex.org/W162406202","https://openalex.org/W2349081792","https://openalex.org/W2384920399","https://openalex.org/W2369026988"],"abstract_inverted_index":{"This":[0,32],"paper":[1],"introduces":[2],"an":[3,16],"effective":[4],"non-contact":[5],"emotion":[6,144],"recognition":[7],"system":[8,125],"based":[9],"on":[10],"millimeter":[11],"wave":[12],"radar.":[13],"RF-Emotion":[14,87],"transmits":[15],"RF":[17,46],"signal":[18,48],"and":[19,53,102,116,137],"analyzes":[20],"its":[21],"reflections":[22],"off":[23],"a":[24,35,104,119,124,139],"person's":[25,105],"body":[26,74],"to":[27,62,71],"recognize":[28],"his":[29],"emotional":[30,106,130],"state.":[31],"research":[33],"proposes":[34],"new":[36,140],"algorithm,":[37],"which":[38,67],"can":[39,126],"recover":[40],"the":[41,45,55,59,63,72,81,128],"heartbeat":[42,57,93],"waveform":[43],"from":[44],"reflection":[47],"with":[49,58],"low":[50],"signal-to-noise":[51],"ratio,":[52],"separate":[54],"individual":[56],"accuracy":[60,90,109],"comparable":[61],"contact":[64],"ECG":[65],"sensor,":[66],"has":[68,88],"good":[69],"robustness":[70],"user's":[73,129],"movement.":[75],"72":[76],"participants":[77],"were":[78],"recruited":[79],"for":[80,113,142],"test.":[82],"The":[83],"results":[84],"show":[85],"that":[86],"high":[89],"in":[91,118,132],"estimating":[92],"interval":[94],"(The":[95,108],"average":[96],"absolute":[97],"error":[98],"is":[99,111],"within":[100],"0.56%)":[101],"inferring":[103],"state":[107,131],"rate":[110],"86.50%":[112],"Calm,":[114],"fear":[115],"happiness)":[117],"fully":[120],"automated":[121],"way.":[122],"Such":[123],"monitor":[127],"daily":[133],"life":[134],"or":[135],"work,":[136],"providing":[138],"method":[141],"contactless":[143],"recognition.":[145]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}