{"id":"https://openalex.org/W2081933842","doi":"https://doi.org/10.1145/2556288.2557030","title":"Type-hover-swipe in 96 bytes","display_name":"Type-hover-swipe in 96 bytes","publication_year":2014,"publication_date":"2014-04-26","ids":{"openalex":"https://openalex.org/W2081933842","doi":"https://doi.org/10.1145/2556288.2557030","mag":"2081933842"},"language":"en","primary_location":{"id":"doi:10.1145/2556288.2557030","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2556288.2557030","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the SIGCHI Conference on Human Factors in Computing 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/A5104268832","display_name":"Stuart Taylor","orcid":"https://orcid.org/0009-0009-3408-340X"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB","US"],"is_corresponding":true,"raw_author_name":"Stuart Taylor","raw_affiliation_strings":["Microsoft Research, Cambridge, United Kingdom","Microsoft Research, Cambridge, United Kingdom ("],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Cambridge, United Kingdom","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"Microsoft Research, Cambridge, United Kingdom (","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102363948","display_name":"Cem Keskin","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Cem Keskin","raw_affiliation_strings":["Microsoft Research, Cambridge, United Kingdom","Microsoft Research, Cambridge, United Kingdom ("],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Cambridge, United Kingdom","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"Microsoft Research, Cambridge, United Kingdom (","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025000908","display_name":"Otmar Hilliges","orcid":"https://orcid.org/0000-0002-5068-3474"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Otmar Hilliges","raw_affiliation_strings":["ETH Zurich, Zurich, Switzerland"],"affiliations":[{"raw_affiliation_string":"ETH Zurich, Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014927177","display_name":"Shahram Izadi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]},{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Shahram Izadi","raw_affiliation_strings":["Microsoft Research, Cambridge, United Kingdom","Microsoft Research, Cambridge, United Kingdom ("],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Cambridge, United Kingdom","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"Microsoft Research, Cambridge, United Kingdom (","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051796969","display_name":"John Helmes","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"John Helmes","raw_affiliation_strings":["Microsoft Research, Cambridge, United Kingdom","Microsoft Research, Cambridge, United Kingdom ("],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Cambridge, United Kingdom","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"Microsoft Research, Cambridge, United Kingdom (","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5104268832"],"corresponding_institution_ids":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"],"apc_list":null,"apc_paid":null,"fwci":6.8835,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.96813384,"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":"1695","last_page":"1704"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9998999834060669,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9998999834060669,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9955999851226807,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/swipe","display_name":"SwIPe","score":0.8930927515029907},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.876746416091919},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7983489036560059},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5711913704872131},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5564118027687073},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.5352213382720947},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5247519016265869},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.5150818228721619},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4871975779533386},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.47069525718688965},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.4706002175807953},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4700445234775543},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.43688690662384033},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3820176124572754}],"concepts":[{"id":"https://openalex.org/C2779623668","wikidata":"https://www.wikidata.org/wiki/Q7652842","display_name":"SwIPe","level":2,"score":0.8930927515029907},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.876746416091919},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7983489036560059},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5711913704872131},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5564118027687073},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.5352213382720947},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5247519016265869},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.5150818228721619},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4871975779533386},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.47069525718688965},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.4706002175807953},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4700445234775543},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.43688690662384033},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3820176124572754},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2556288.2557030","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2556288.2557030","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the SIGCHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.4000000059604645}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W20898209","https://openalex.org/W137456267","https://openalex.org/W1500711968","https://openalex.org/W1973259708","https://openalex.org/W1973394302","https://openalex.org/W1980720228","https://openalex.org/W2012241589","https://openalex.org/W2032366757","https://openalex.org/W2036471813","https://openalex.org/W2048472057","https://openalex.org/W2070885641","https://openalex.org/W2076305990","https://openalex.org/W2079750751","https://openalex.org/W2091491784","https://openalex.org/W2096003374","https://openalex.org/W2100661450","https://openalex.org/W2103853000","https://openalex.org/W2105004615","https://openalex.org/W2105594594","https://openalex.org/W2109075207","https://openalex.org/W2110964220","https://openalex.org/W2111424004","https://openalex.org/W2114663654","https://openalex.org/W2120701504","https://openalex.org/W2125337786","https://openalex.org/W2130851628","https://openalex.org/W2134418753","https://openalex.org/W2139459444","https://openalex.org/W2140280838","https://openalex.org/W2141317558","https://openalex.org/W2143272542","https://openalex.org/W2145607950","https://openalex.org/W2165715280","https://openalex.org/W2168570452","https://openalex.org/W2170513162","https://openalex.org/W2172156083","https://openalex.org/W2911964244"],"related_works":["https://openalex.org/W2311597590","https://openalex.org/W2902873204","https://openalex.org/W2185750513","https://openalex.org/W3147379364","https://openalex.org/W2010878661","https://openalex.org/W2435456187","https://openalex.org/W2026258298","https://openalex.org/W3204639664","https://openalex.org/W2970836791","https://openalex.org/W2805039731"],"abstract_inverted_index":{"We":[0,54,72,126,153],"present":[1],"a":[2,41,56,79,89,97,112,141],"new":[3],"type":[4],"of":[5,10,28,31,40,76,84,100,117,144,161],"augmented":[6],"mechanical":[7,43],"keyboard,":[8],"capable":[9],"sensing":[11],"rich":[12],"and":[13,20,88,104,121,130,136,139,163],"expressive":[14],"motion":[15,52,77,85,101],"gestures":[16,102,145],"performed":[17,149],"both":[18],"on":[19,103],"directly":[21,105],"above":[22,106],"the":[23,38,74,107],"device.":[24,152],"Our":[25,109],"hardware":[26,129],"comprises":[27],"low-resolution":[29],"matrix":[30],"infrared":[32],"(IR)":[33],"proximity":[34],"sensors":[35],"interspersed":[36],"between":[37],"keys":[39],"regular":[42],"keyboard.":[44,108],"This":[45],"results":[46],"in":[47,119,123],"coarse":[48],"but":[49],"high":[50],"frame-rate":[51],"data.":[53],"extend":[55],"machine":[57],"learning":[58],"algorithm,":[59,133],"traditionally":[60],"used":[61],"for":[62,165],"static":[63],"classification":[64,115],"only,":[65],"to":[66,94,147],"robustly":[67,95],"support":[68],"dynamic,":[69],"temporal":[70],"gestures.":[71],"propose":[73],"use":[75],"signatures":[78],"technique":[80,110],"that":[81],"utilizes":[82],"pairs":[83],"history":[86],"images":[87],"random":[90],"forest":[91],"based":[92],"classifier":[93],"recognize":[96],"large":[98,142],"set":[99,143],"achieves":[111],"mean":[113],"per-frame":[114],"accuracy":[116,137],"75.6%":[118],"leave-one-subject-out":[120],"89.9%":[122],"half-test/half-training":[124],"cross-validation.":[125],"detail":[127],"our":[128,151],"gesture":[131],"recognition":[132],"provide":[134],"performance":[135],"numbers,":[138],"demonstrate":[140],"designed":[146],"be":[148],"with":[150,155],"conclude":[154],"qualitative":[156],"feedback":[157],"from":[158],"users,":[159],"discussion":[160],"limitations":[162],"areas":[164],"future":[166],"work.":[167]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
