{"id":"https://openalex.org/W3182888500","doi":"https://doi.org/10.1145/3458709.3458941","title":"Derma: Silent Speech Interaction Using Transcutaneous Motion Sensing","display_name":"Derma: Silent Speech Interaction Using Transcutaneous Motion Sensing","publication_year":2021,"publication_date":"2021-02-22","ids":{"openalex":"https://openalex.org/W3182888500","doi":"https://doi.org/10.1145/3458709.3458941","mag":"3182888500"},"language":"en","primary_location":{"id":"doi:10.1145/3458709.3458941","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3458709.3458941","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Augmented Humans Conference 2021","raw_type":"proceedings-article"},"type":"conference-paper","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/A5082649952","display_name":"Jun Rekimoto","orcid":"https://orcid.org/0000-0002-3629-2514"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jun Rekimoto","raw_affiliation_strings":["The University of Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064393796","display_name":"Yu Nishimura","orcid":null},"institutions":[{"id":"https://openalex.org/I4210122684","display_name":"Sony Computer Science Laboratories","ror":"https://ror.org/02nc46417","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210122684"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yu Nishimura","raw_affiliation_strings":["Sony Computer Science Laboratories, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sony Computer Science Laboratories, Japan","institution_ids":["https://openalex.org/I4210122684"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"91","last_page":"100"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998999834060669,"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/T10860","display_name":"Speech and Audio Processing","score":0.9998999834060669,"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/T10914","display_name":"Tactile and Sensory Interactions","score":0.9984999895095825,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7368124723434448},{"id":"https://openalex.org/keywords/utterance","display_name":"Utterance","score":0.686960756778717},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6610599160194397},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5964115858078003},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.5225593447685242},{"id":"https://openalex.org/keywords/chin","display_name":"Chin","score":0.5164854526519775},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46004819869995117},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41843974590301514}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7368124723434448},{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.686960756778717},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6610599160194397},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5964115858078003},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.5225593447685242},{"id":"https://openalex.org/C2779881321","wikidata":"https://www.wikidata.org/wiki/Q82714","display_name":"Chin","level":2,"score":0.5164854526519775},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46004819869995117},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41843974590301514},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.0},{"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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3458709.3458941","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3458709.3458941","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Augmented Humans Conference 2021","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6000000238418579}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1885539505","https://openalex.org/W1904948456","https://openalex.org/W1985204196","https://openalex.org/W1995735739","https://openalex.org/W2008120082","https://openalex.org/W2015143272","https://openalex.org/W2066502876","https://openalex.org/W2086077095","https://openalex.org/W2127141656","https://openalex.org/W2149588195","https://openalex.org/W2160800342","https://openalex.org/W2469690627","https://openalex.org/W2482624702","https://openalex.org/W2578229578","https://openalex.org/W2610538222","https://openalex.org/W2734595361","https://openalex.org/W2770785043","https://openalex.org/W2793257307","https://openalex.org/W2889413431","https://openalex.org/W2896622783","https://openalex.org/W2897318954","https://openalex.org/W2914394673","https://openalex.org/W2921295135","https://openalex.org/W2941048526","https://openalex.org/W2949346074","https://openalex.org/W2950635152","https://openalex.org/W2951015274","https://openalex.org/W2962780374","https://openalex.org/W2971775690"],"related_works":["https://openalex.org/W3175651180","https://openalex.org/W2313374935","https://openalex.org/W3030539566","https://openalex.org/W2076310460","https://openalex.org/W4318914932","https://openalex.org/W4318914675","https://openalex.org/W4285061751","https://openalex.org/W3171414958","https://openalex.org/W1995132165","https://openalex.org/W4307784074"],"abstract_inverted_index":{"Silent":[0],"speech":[1,5,19,112,131],"interaction":[2,20],"(SSI)":[3],"enables":[4],"communication":[6],"without":[7],"uttering":[8],"an":[9],"actual":[10],"voice":[11],"and":[12,40,53,146],"can":[13],"have":[14,109],"a":[15,33,60,100,124],"potential":[16],"to":[17,134],"make":[18],"available":[21],"in":[22,35],"public":[23],"places.":[24],"However,":[25],"commonly":[26],"studied":[27],"image-based":[28],"lip-reading":[29,107],"for":[30,46],"SSI":[31],"requires":[32,51],"camera":[34],"front":[36],"of":[37,82,103,115,126],"the":[38,76,87,139],"face":[39],"thus":[41],"it":[42],"is":[43,142,147],"not":[44,148],"suitable":[45],"mobile":[47],"use.":[48],"Ultrasound":[49],"imaging":[50],"expensive":[52],"complex":[54],"equipment.":[55],"In":[56],"contrast,":[57],"we":[58,137],"propose":[59],"much":[61],"simpler":[62],"method":[63,125],"by":[64,86,150],"skin":[65,83],"motion":[66,84],"sensing.":[67],"Two":[68],"small":[69],"6-DOF":[70],"accelerometer/angular":[71],"velocity":[72],"sensors":[73],"attached":[74],"under":[75],"chin":[77],"acquire":[78],"12-dimensional":[79],"multidimensional":[80],"information":[81],"caused":[85],"silent":[88,95],"utterance.":[89],"With":[90],"neural":[91],"networks,":[92],"35":[93],"different":[94],"commands":[96],"are":[97],"identified":[98],"with":[99,117],"recognition":[101],"rate":[102],"94%.":[104],"While":[105],"previous":[106,135],"studies":[108],"normally":[110],"inferred":[111],"from":[113,129],"images":[114],"video":[116],"vocal":[118],"speech,":[119],"this":[120],"study":[121],"also":[122],"proposes":[123],"learning":[127],"entirely":[128],"non-vocal":[130],"only.":[132],"Compared":[133],"studies,":[136],"consider":[138],"proposed":[140],"solution":[141],"less":[143],"visible,":[144],"lightweight,":[145],"affected":[149],"lighting":[151],"conditions.":[152]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4}],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-10-10T00:00:00"}
