{"id":"https://openalex.org/W7131121444","doi":"https://doi.org/10.1145/3772318.3790411","title":"DuoTouch: Passive Two-Footprint Attachments Using Binary Sequences to Extend Touch Interaction","display_name":"DuoTouch: Passive Two-Footprint Attachments Using Binary Sequences to Extend Touch Interaction","publication_year":2026,"publication_date":"2026-04-13","ids":{"openalex":"https://openalex.org/W7131121444","doi":"https://doi.org/10.1145/3772318.3790411"},"language":null,"primary_location":{"id":"doi:10.1145/3772318.3790411","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3772318.3790411","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3772318.3790411","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012982348","display_name":"Kaori Ikematsu","orcid":"https://orcid.org/0000-0002-7017-6744"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kaori Ikematsu","raw_affiliation_strings":["LY Corporation, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0002-7017-6744","affiliations":[{"raw_affiliation_string":"LY Corporation, Tokyo, Japan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5126608137","display_name":"Kunihiro Kato","orcid":null},"institutions":[{"id":"https://openalex.org/I148798404","display_name":"Tokyo University of Technology","ror":"https://ror.org/021a26605","country_code":"JP","type":"education","lineage":["https://openalex.org/I148798404"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kunihiro Kato","raw_affiliation_strings":["Tokyo University of Technology, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0002-0117-8981","affiliations":[{"raw_affiliation_string":"Tokyo University of Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I148798404"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.19094139,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10789","display_name":"Interactive and Immersive Displays","score":0.9735999703407288,"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"}},"topics":[{"id":"https://openalex.org/T10789","display_name":"Interactive and Immersive Displays","score":0.9735999703407288,"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"}},{"id":"https://openalex.org/T10914","display_name":"Tactile and Sensory Interactions","score":0.00860000029206276,"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/T11800","display_name":"User Authentication and Security Systems","score":0.0027000000700354576,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/embedding","display_name":"Embedding","score":0.6723999977111816},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.6662999987602234},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.6639000177383423},{"id":"https://openalex.org/keywords/trace","display_name":"TRACE (psycholinguistics)","score":0.5902000069618225},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.5302000045776367},{"id":"https://openalex.org/keywords/touchpad","display_name":"Touchpad","score":0.4383000135421753},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.36730000376701355},{"id":"https://openalex.org/keywords/phone","display_name":"Phone","score":0.3605000078678131}],"concepts":[{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6723999977111816},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.6662999987602234},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.6639000177383423},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6571000218391418},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.5902000069618225},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.5302000045776367},{"id":"https://openalex.org/C43199551","wikidata":"https://www.wikidata.org/wiki/Q20137","display_name":"Touchpad","level":2,"score":0.4383000135421753},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40939998626708984},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.36730000376701355},{"id":"https://openalex.org/C2778707766","wikidata":"https://www.wikidata.org/wiki/Q202064","display_name":"Phone","level":2,"score":0.3605000078678131},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.3416999876499176},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.32659998536109924},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.326200008392334},{"id":"https://openalex.org/C2779190172","wikidata":"https://www.wikidata.org/wiki/Q4913888","display_name":"Binary data","level":3,"score":0.3156999945640564},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3151000142097473},{"id":"https://openalex.org/C63435697","wikidata":"https://www.wikidata.org/wiki/Q864135","display_name":"Binary code","level":3,"score":0.28299999237060547},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2775000035762787},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.2770000100135803},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.27570000290870667},{"id":"https://openalex.org/C206755178","wikidata":"https://www.wikidata.org/wiki/Q1131271","display_name":"Capacitive sensing","level":2,"score":0.2741999924182892},{"id":"https://openalex.org/C9395851","wikidata":"https://www.wikidata.org/wiki/Q177929","display_name":"Stack (abstract data type)","level":2,"score":0.27230000495910645},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.27059999108314514},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.2653999924659729},{"id":"https://openalex.org/C121449826","wikidata":"https://www.wikidata.org/wiki/Q864114","display_name":"Input device","level":2,"score":0.25839999318122864}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3772318.3790411","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3772318.3790411","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2602.17961","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2602.17961","pdf_url":"https://arxiv.org/pdf/2602.17961","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3772318.3790411","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3772318.3790411","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"DuoTouch":[0,125],"is":[1],"a":[2,63,81,100,103,135,138],"passive":[3],"attachment":[4],"for":[5],"capacitive":[6],"touch":[7,43,93],"panels":[8],"that":[9,55,66,84,109],"adds":[10],"tangible":[11],"input":[12,20],"while":[13],"minimizing":[14],"content":[15],"occlusion":[16],"and":[17,27,36,62,69,91,102,116,142],"loss":[18],"of":[19,124],"area.":[21],"It":[22],"uses":[23],"two":[24,28,47],"contact":[25],"footprints":[26],"traces":[29],"to":[30,59],"encode":[31],"motion":[32],"as":[33],"binary":[34],"sequences":[35],"runs":[37],"on":[38,99],"unmodified":[39],"devices":[40],"through":[41],"standard":[42],"APIs.":[44],"We":[45],"present":[46],"configurations":[48],"with":[49],"paired":[50],"decoders:":[51],"an":[52],"aligned":[53],"configuration":[54,65],"maps":[56],"fixed-length":[57],"codes":[58],"discrete":[60],"commands":[61],"phase-shifted":[64],"estimates":[67],"direction":[68],"distance":[70],"from":[71],"relative":[72],"timing.":[73],"To":[74],"characterize":[75],"the":[76,111,122,128],"system\u2019s":[77],"reliability,":[78],"we":[79,105,120],"derive":[80],"sampling-limited":[82],"bound":[83],"links":[85],"actuation":[86],"speed,":[87],"internal":[88],"trace":[89],"width,":[90],"device":[92],"sampling":[94],"rate.":[95],"Through":[96],"technical":[97],"evaluations":[98],"smartphone":[101],"touchpad,":[104],"report":[106],"performance":[107],"metrics":[108],"describe":[110],"relationship":[112],"between":[113],"these":[114],"parameters":[115],"decoding":[117],"accuracy.":[118],"Finally,":[119],"demonstrate":[121],"versatility":[123],"by":[126],"embedding":[127],"mechanism":[129],"into":[130],"various":[131],"form":[132],"factors,":[133],"including":[134],"hand":[136],"strap,":[137],"phone":[139],"ring":[140],"holder,":[141],"touchpad":[143],"add-ons.":[144]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-02-24T00:00:00"}