{"id":"https://openalex.org/W2730482441","doi":"https://doi.org/10.1109/sahcn.2017.7964907","title":"VibSense: Sensing Touches on Ubiquitous Surfaces through Vibration","display_name":"VibSense: Sensing Touches on Ubiquitous Surfaces through Vibration","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2730482441","doi":"https://doi.org/10.1109/sahcn.2017.7964907","mag":"2730482441"},"language":"en","primary_location":{"id":"doi:10.1109/sahcn.2017.7964907","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sahcn.2017.7964907","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 14th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)","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/A5100414706","display_name":"Jian Liu","orcid":"https://orcid.org/0000-0002-8331-0834"},"institutions":[{"id":"https://openalex.org/I108468826","display_name":"Stevens Institute of Technology","ror":"https://ror.org/02z43xh36","country_code":"US","type":"education","lineage":["https://openalex.org/I108468826"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jian Liu","raw_affiliation_strings":["Stevens Institute of Technology, Hoboken, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Stevens Institute of Technology, Hoboken, NJ, USA","institution_ids":["https://openalex.org/I108468826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100394750","display_name":"Yingying Chen","orcid":"https://orcid.org/0000-0002-3994-766X"},"institutions":[{"id":"https://openalex.org/I108468826","display_name":"Stevens Institute of Technology","ror":"https://ror.org/02z43xh36","country_code":"US","type":"education","lineage":["https://openalex.org/I108468826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yingying Chen","raw_affiliation_strings":["Stevens Institute of Technology, Hoboken, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Stevens Institute of Technology, Hoboken, NJ, USA","institution_ids":["https://openalex.org/I108468826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078160983","display_name":"Marco Gruteser","orcid":"https://orcid.org/0000-0002-7424-4951"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marco Gruteser","raw_affiliation_strings":["Rutgers University, North Brunswick, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Rutgers University, North Brunswick, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100322682","display_name":"Yan Wang","orcid":"https://orcid.org/0000-0002-3984-6973"},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yan Wang","raw_affiliation_strings":["SUNY at Binghamton, Binghamton, NY, USA"],"affiliations":[{"raw_affiliation_string":"SUNY at Binghamton, Binghamton, NY, USA","institution_ids":["https://openalex.org/I123946342"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100414706"],"corresponding_institution_ids":["https://openalex.org/I108468826"],"apc_list":null,"apc_paid":null,"fwci":1.9656,"has_fulltext":false,"cited_by_count":50,"citation_normalized_percentile":{"value":0.86120562,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10914","display_name":"Tactile and Sensory Interactions","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10914","display_name":"Tactile and Sensory Interactions","score":0.9998000264167786,"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":0.9994000196456909,"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/T10789","display_name":"Interactive and Immersive Displays","score":0.9994000196456909,"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":0.7372804284095764},{"id":"https://openalex.org/keywords/capacitive-sensing","display_name":"Capacitive sensing","score":0.6154934763908386},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5469945669174194},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.5258589386940002},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5016627311706543},{"id":"https://openalex.org/keywords/vibration","display_name":"Vibration","score":0.4930970370769501},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47662413120269775},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.47364962100982666},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4557090401649475},{"id":"https://openalex.org/keywords/proximity-sensor","display_name":"Proximity sensor","score":0.4181956350803375},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36780524253845215},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09919261932373047}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7372804284095764},{"id":"https://openalex.org/C206755178","wikidata":"https://www.wikidata.org/wiki/Q1131271","display_name":"Capacitive sensing","level":2,"score":0.6154934763908386},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5469945669174194},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.5258589386940002},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5016627311706543},{"id":"https://openalex.org/C198394728","wikidata":"https://www.wikidata.org/wiki/Q3695508","display_name":"Vibration","level":2,"score":0.4930970370769501},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47662413120269775},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.47364962100982666},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4557090401649475},{"id":"https://openalex.org/C135403697","wikidata":"https://www.wikidata.org/wiki/Q796765","display_name":"Proximity sensor","level":2,"score":0.4181956350803375},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36780524253845215},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09919261932373047},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/sahcn.2017.7964907","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sahcn.2017.7964907","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 14th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)","raw_type":"proceedings-article"},{"id":"pmh:oai:alma.01RUT_INST:11685435300004646","is_oa":false,"landing_page_url":"https://scholarship.libraries.rutgers.edu/esploro/outputs/conferenceProceeding/VibSense-Sensing-Touches-on-Ubiquitous-Surfaces/991031758513504646","pdf_url":null,"source":{"id":"https://openalex.org/S4210197018","display_name":"View","issn_l":"2688-268X","issn":["2688-268X","2688-3988"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Proceedings"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"},{"score":0.46000000834465027,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1510526001","https://openalex.org/W1977687024","https://openalex.org/W2010882865","https://openalex.org/W2015525039","https://openalex.org/W2050304483","https://openalex.org/W2055344768","https://openalex.org/W2069313697","https://openalex.org/W2070115070","https://openalex.org/W2081367122","https://openalex.org/W2084402628","https://openalex.org/W2088182082","https://openalex.org/W2095396347","https://openalex.org/W2103568877","https://openalex.org/W2109018459","https://openalex.org/W2111424004","https://openalex.org/W2115042198","https://openalex.org/W2141336889","https://openalex.org/W2146711757","https://openalex.org/W2153635508","https://openalex.org/W2172292165","https://openalex.org/W2194381629","https://openalex.org/W2338964903","https://openalex.org/W3021269843","https://openalex.org/W3120421331","https://openalex.org/W6630424276","https://openalex.org/W6680772378","https://openalex.org/W6687612851","https://openalex.org/W6703565976","https://openalex.org/W6776514054"],"related_works":["https://openalex.org/W340201814","https://openalex.org/W2152098532","https://openalex.org/W4386571252","https://openalex.org/W2045180228","https://openalex.org/W2731973168","https://openalex.org/W241455228","https://openalex.org/W2155218958","https://openalex.org/W4283740974","https://openalex.org/W3082546580","https://openalex.org/W2166944910"],"abstract_inverted_index":{"VibSense":[0,135,156,179],"pushes":[1],"the":[2,9,22,25,74,81,84,111,114,122,138,141,161],"limits":[3],"of":[4,11,57,83,91,121,164],"vibration-based":[5],"sensing":[6,44,64],"to":[7,42,49,95,136,140,147],"determine":[8],"location":[10,82,89,129],"a":[12,28,54,67],"touch":[13,85],"on":[14,103],"extended":[15],"surface":[16,26],"areas":[17],"as":[18,20,100],"well":[19],"identify":[21],"object":[23,170],"touching":[24,123],"leveraging":[27],"single":[29,68],"sensor.":[30,69],"Unlike":[31],"capacitive":[32],"sensing,":[33,73],"it":[34,45,146],"does":[35],"not":[36],"require":[37],"conductive":[38],"materials":[39],"and":[40,130,144,172],"compared":[41],"audio":[43],"is":[46,157],"more":[47],"robust":[48],"acoustic":[50],"noise.":[51],"It":[52],"supports":[53],"broad":[55],"array":[56],"applications":[58,98],"through":[59],"either":[60],"passive":[61,72],"or":[62],"active":[63,112],"using":[65],"only":[66],"In":[70],"VibSense's":[71],"received":[75,115],"vibration":[76,116],"signals":[77,117,139],"are":[78],"determined":[79],"by":[80],"impact.":[86],"This":[87,132],"allows":[88,145],"discrimination":[90],"touches":[92,166],"precise":[93],"enough":[94],"enable":[96],"emerging":[97],"such":[99],"virtual":[101,168],"keyboards":[102],"ubiquitous":[104],"surfaces":[105],"for":[106],"mobile":[107],"devices.":[108],"Moreover,":[109],"in":[110,151,160,186],"mode,":[113],"carry":[118],"richer":[119],"information":[120],"object's":[124],"characteristics":[125],"(e.g.,":[126],"weight,":[127],"size,":[128],"material).":[131],"further":[133],"enables":[134],"match":[137],"trained":[142],"profiles":[143],"differentiate":[148],"personal":[149],"objects":[150],"contact":[152],"with":[153],"any":[154],"surface.":[155],"evaluated":[158],"extensively":[159],"use":[162,189],"cases":[163],"localizing":[165],"(i.e.,":[167],"keyboards),":[169],"localization":[171],"identification.":[173],"Our":[174],"experimental":[175],"results":[176],"demonstrate":[177],"that":[178],"can":[180],"achieve":[181],"high":[182],"accuracy,":[183],"over":[184],"95%,":[185],"all":[187],"these":[188],"cases.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":3}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}