{"id":"https://openalex.org/W3154668949","doi":"https://doi.org/10.1109/infocom42981.2021.9488852","title":"CanalScan: Tongue-Jaw Movement Recognition via Ear Canal Deformation Sensing","display_name":"CanalScan: Tongue-Jaw Movement Recognition via Ear Canal Deformation Sensing","publication_year":2021,"publication_date":"2021-05-10","ids":{"openalex":"https://openalex.org/W3154668949","doi":"https://doi.org/10.1109/infocom42981.2021.9488852","mag":"3154668949"},"language":"en","primary_location":{"id":"doi:10.1109/infocom42981.2021.9488852","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom42981.2021.9488852","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2021 - IEEE Conference on Computer Communications","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/A5062209903","display_name":"Yetong Cao","orcid":"https://orcid.org/0000-0003-1633-3259"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yetong Cao","raw_affiliation_strings":["School of Computer Science, Beijing Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028519714","display_name":"Huijie Chen","orcid":"https://orcid.org/0000-0002-8322-790X"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huijie Chen","raw_affiliation_strings":["School of Computer Science, Beijing Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100373560","display_name":"Fan Li","orcid":"https://orcid.org/0000-0002-2348-4488"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Li","raw_affiliation_strings":["School of Computer Science, Beijing Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100445125","display_name":"Yu Wang","orcid":"https://orcid.org/0000-0001-9500-081X"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu Wang","raw_affiliation_strings":["Temple University, USA"],"affiliations":[{"raw_affiliation_string":"Temple University, USA","institution_ids":["https://openalex.org/I84392919"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5062209903"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":3.5043,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.93495605,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech 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/T10860","display_name":"Speech 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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.996999979019165,"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"}},{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9968000054359436,"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/computer-science","display_name":"Computer science","score":0.735190749168396},{"id":"https://openalex.org/keywords/tongue","display_name":"Tongue","score":0.6986522078514099},{"id":"https://openalex.org/keywords/ear-canal","display_name":"Ear canal","score":0.4786278307437897},{"id":"https://openalex.org/keywords/microphone","display_name":"Microphone","score":0.45272141695022583},{"id":"https://openalex.org/keywords/movement","display_name":"Movement (music)","score":0.44435474276542664},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44122692942619324},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4211242198944092},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.41514313220977783},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.41063418984413147},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3578745126724243},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.2941536009311676},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10124319791793823}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.735190749168396},{"id":"https://openalex.org/C2779744641","wikidata":"https://www.wikidata.org/wiki/Q9614","display_name":"Tongue","level":2,"score":0.6986522078514099},{"id":"https://openalex.org/C2779812621","wikidata":"https://www.wikidata.org/wiki/Q258328","display_name":"Ear canal","level":2,"score":0.4786278307437897},{"id":"https://openalex.org/C2778263558","wikidata":"https://www.wikidata.org/wiki/Q46384","display_name":"Microphone","level":3,"score":0.45272141695022583},{"id":"https://openalex.org/C2780226923","wikidata":"https://www.wikidata.org/wiki/Q929848","display_name":"Movement (music)","level":2,"score":0.44435474276542664},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44122692942619324},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4211242198944092},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.41514313220977783},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.41063418984413147},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3578745126724243},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.2941536009311676},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10124319791793823},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C68115822","wikidata":"https://www.wikidata.org/wiki/Q1068172","display_name":"Sound pressure","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infocom42981.2021.9488852","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom42981.2021.9488852","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2021 - IEEE Conference on Computer Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1486454165","https://openalex.org/W1489548255","https://openalex.org/W1513586130","https://openalex.org/W1813311612","https://openalex.org/W1963856123","https://openalex.org/W1969139822","https://openalex.org/W1979632238","https://openalex.org/W2012429541","https://openalex.org/W2024811842","https://openalex.org/W2039071662","https://openalex.org/W2056608520","https://openalex.org/W2057141333","https://openalex.org/W2073538956","https://openalex.org/W2086077095","https://openalex.org/W2097497903","https://openalex.org/W2100294832","https://openalex.org/W2120605154","https://openalex.org/W2572596195","https://openalex.org/W2610538222","https://openalex.org/W2625581252","https://openalex.org/W2761378666","https://openalex.org/W2765335098","https://openalex.org/W2790434020","https://openalex.org/W2793102850","https://openalex.org/W2805967868","https://openalex.org/W2810751123","https://openalex.org/W2832631560","https://openalex.org/W2853586540","https://openalex.org/W2885804961","https://openalex.org/W2903181773","https://openalex.org/W2920787483","https://openalex.org/W2921295135","https://openalex.org/W2972011662","https://openalex.org/W2972759272","https://openalex.org/W3047126392","https://openalex.org/W3086312460","https://openalex.org/W3133176321","https://openalex.org/W3154646650","https://openalex.org/W6629152787","https://openalex.org/W6660019582","https://openalex.org/W6791676142","https://openalex.org/W6794653724"],"related_works":["https://openalex.org/W3136794468","https://openalex.org/W2367950022","https://openalex.org/W2365707941","https://openalex.org/W2366141844","https://openalex.org/W2383946220","https://openalex.org/W2061899339","https://openalex.org/W1991675061","https://openalex.org/W1944762221","https://openalex.org/W4255129407","https://openalex.org/W2028982055"],"abstract_inverted_index":{"Human-machine":[0],"interface":[1],"based":[2],"on":[3,50],"tongue-jaw":[4,40,79,94,165,180],"movements":[5],"has":[6],"recently":[7],"become":[8],"one":[9],"of":[10,73,135],"the":[11,116,120,133,147],"major":[12],"technological":[13],"trends.":[14],"However,":[15],"existing":[16],"schemes":[17],"have":[18],"several":[19],"limitations,":[20],"such":[21],"as":[22],"requiring":[23],"dedicated":[24],"hardware":[25],"and":[26,47,69,101,141,146,154,157,188,197],"are":[27],"usually":[28],"uncomfortable":[29],"to":[30,60,92,111,119,131,163,192],"wear.":[31],"This":[32],"paper":[33],"presents":[34],"CanalScan,":[35],"a":[36,127,159],"nonintrusive":[37],"system":[38],"for":[39,178],"movement":[41],"recognition":[42,177],"using":[43],"only":[44],"commodity":[45],"speaker":[46],"microphone":[48],"mounted":[49],"ubiquitous":[51],"off-the-shelf":[52],"devices":[53],"(e.g.,":[54],"smartphones).":[55],"The":[56],"basic":[57],"idea":[58],"is":[59,90,182],"send":[61],"an":[62],"acoustic":[63,117],"signal,":[64],"then":[65],"captures":[66],"its":[67],"reflections":[68],"derive":[70],"unique":[71,153],"patterns":[72],"ear":[74,138,148],"canal":[75,139],"deformation":[76],"caused":[77],"by":[78],"movements.":[80,95,166],"A":[81],"dynamic":[82],"segmentation":[83],"method":[84],"with":[85,169],"Support":[86],"Vector":[87],"Domain":[88],"Description":[89],"used":[91],"segment":[93],"To":[96],"combat":[97],"sensor":[98],"position-sensitive":[99],"deficiency":[100,103],"ear-canal-shape-sensitive":[102],"in":[104,114,137],"multi-path":[105],"reflections,":[106],"we":[107,125],"first":[108],"design":[109],"algorithms":[110],"assist":[112],"users":[113,194],"adjusting":[115],"sensors":[118,145],"same":[121],"valid":[122],"zone.":[123],"Then":[124],"propose":[126],"data":[128],"transformation":[129],"mechanism":[130],"reduce":[132],"impacts":[134],"diversities":[136],"shapes":[140],"relative":[142],"positions":[143],"between":[144],"canal.":[149],"CanalScan":[150,174],"explores":[151],"twelve":[152],"consistent":[155],"features":[156],"applies":[158],"Random":[160],"Forest":[161],"classifier":[162],"distinguish":[164],"Extensive":[167],"experiments":[168],"twenty":[170],"participants":[171],"demonstrate":[172],"that":[173],"achieves":[175],"promising":[176],"six":[179],"movements,":[181],"robust":[183],"against":[184],"various":[185],"usage":[186],"scenarios,":[187],"can":[189],"be":[190],"generalized":[191],"new":[193],"without":[195],"retraining":[196],"adaptation.":[198]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
