{"id":"https://openalex.org/W2981507750","doi":"https://doi.org/10.1145/3362743.3362960","title":"Emotion Filtering at the Edge","display_name":"Emotion Filtering at the Edge","publication_year":2019,"publication_date":"2019-10-23","ids":{"openalex":"https://openalex.org/W2981507750","doi":"https://doi.org/10.1145/3362743.3362960","mag":"2981507750"},"language":"en","primary_location":{"id":"doi:10.1145/3362743.3362960","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3362743.3362960","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st Workshop on Machine Learning on Edge in Sensor Systems","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/A5058078120","display_name":"Ranya Aloufi","orcid":null},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ranya Aloufi","raw_affiliation_strings":["Imperial College London"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imperial College London","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043326652","display_name":"Hamed Haddadi","orcid":"https://orcid.org/0000-0002-5895-8903"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hamed Haddadi","raw_affiliation_strings":["Imperial College London"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imperial College London","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101546960","display_name":"David Boyle","orcid":"https://orcid.org/0000-0002-1993-4482"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"David Boyle","raw_affiliation_strings":["Imperial College London"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imperial College London","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1683,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.79633575,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9998000264167786,"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/T11309","display_name":"Music and Audio Processing","score":0.9998000264167786,"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/T10860","display_name":"Speech and Audio Processing","score":0.9997000098228455,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9994000196456909,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.7781860828399658},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7430695295333862},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6671457290649414},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6340732574462891},{"id":"https://openalex.org/keywords/voice-activity-detection","display_name":"Voice activity detection","score":0.6212761402130127},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4932331442832947},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.4707774817943573},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.4180719554424286},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.4167783558368683},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3216283321380615},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.31229424476623535},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.273912250995636}],"concepts":[{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7781860828399658},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7430695295333862},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6671457290649414},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6340732574462891},{"id":"https://openalex.org/C204201278","wikidata":"https://www.wikidata.org/wiki/Q1332614","display_name":"Voice activity detection","level":3,"score":0.6212761402130127},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4932331442832947},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.4707774817943573},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.4180719554424286},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.4167783558368683},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3216283321380615},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.31229424476623535},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.273912250995636},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3362743.3362960","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3362743.3362960","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st Workshop on Machine Learning on Edge in Sensor Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6399999856948853}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2022635660","https://openalex.org/W2081048026","https://openalex.org/W2099471712","https://openalex.org/W2104202127","https://openalex.org/W2123299109","https://openalex.org/W2144005487","https://openalex.org/W2150082888","https://openalex.org/W2399733683","https://openalex.org/W2423024114","https://openalex.org/W2471520273","https://openalex.org/W2605287558","https://openalex.org/W2753883666","https://openalex.org/W2803193013","https://openalex.org/W2897802265","https://openalex.org/W2898186212","https://openalex.org/W2898564584","https://openalex.org/W2915661750","https://openalex.org/W2916104401","https://openalex.org/W2937579788","https://openalex.org/W2951082691","https://openalex.org/W2962824366","https://openalex.org/W2964301649","https://openalex.org/W3099785009","https://openalex.org/W3103272945","https://openalex.org/W3123501676","https://openalex.org/W6681409903"],"related_works":["https://openalex.org/W3006475563","https://openalex.org/W3015707499","https://openalex.org/W2049462786","https://openalex.org/W4287868249","https://openalex.org/W642007152","https://openalex.org/W2401827384","https://openalex.org/W2326728821","https://openalex.org/W4294771049","https://openalex.org/W2052688117","https://openalex.org/W2552102772"],"abstract_inverted_index":{"Voice":[0],"controlled":[1],"devices":[2],"and":[3,43,63,96,109],"services":[4,16,65],"have":[5,55],"become":[6],"very":[7,31],"popular":[8],"in":[9],"the":[10,118,123,147],"consumer":[11],"IoT.":[12],"Cloud-based":[13],"speech":[14,23,77,136],"analysis":[15],"extract":[17],"information":[18,82],"from":[19,83,132],"voice":[20,68,85],"inputs":[21],"using":[22,102],"recognition":[24],"techniques.":[25],"Services":[26],"providers":[27],"can":[28,153],"thus":[29],"build":[30],"accurate":[32],"profiles":[33],"of":[34,140,146,150],"users'":[35],"demographic":[36],"categories,":[37],"personal":[38],"preferences,":[39],"emotional":[40,148],"states,":[41],"etc.,":[42],"may":[44],"therefore":[45],"significantly":[46],"compromise":[47],"their":[48],"privacy.":[49],"To":[50],"address":[51],"this":[52],"problem,":[53],"we":[54],"developed":[56],"a":[57,103,151],"privacy-preserving":[58],"intermediate":[59],"layer":[60],"between":[61],"users":[62],"cloud":[64],"to":[66,79,127],"sanitize":[67],"input":[69,86],"directly":[70],"at":[71,117,122],"edge":[72,124],"devices.":[73],"We":[74,94],"use":[75],"CycleGAN-based":[76],"conversion":[78],"remove":[80],"sensitive":[81],"raw":[84],"signals":[87,91,142],"before":[88],"regenerating":[89],"neutralized":[90],"for":[92,135],"forwarding.":[93],"implement":[95],"evaluate":[97],"our":[98],"emotion":[99],"filtering":[100],"approach":[101],"relatively":[104],"cheap":[105],"Raspberry":[106],"Pi":[107],"4,":[108],"show":[110,143],"that":[111,144],"performance":[112],"accuracy":[113],"is":[114],"not":[115],"compromised":[116],"edge.":[119],"Signals":[120],"generated":[121,141],"are":[125],"shown":[126],"differ":[128],"only":[129],"slightly":[130],"(~0.16%)":[131],"cloud-based":[133],"approaches":[134],"recognition.":[137],"Experimental":[138],"evaluation":[139],"identification":[145],"state":[149],"speaker":[152],"be":[154],"reduced":[155],"by":[156],"~91%.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}