{"id":"https://openalex.org/W2030286026","doi":"https://doi.org/10.1145/1240624.1240724","title":"Endpoint prediction using motion kinematics","display_name":"Endpoint prediction using motion kinematics","publication_year":2007,"publication_date":"2007-04-29","ids":{"openalex":"https://openalex.org/W2030286026","doi":"https://doi.org/10.1145/1240624.1240724","mag":"2030286026"},"language":"en","primary_location":{"id":"doi:10.1145/1240624.1240724","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1240624.1240724","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/A5042792975","display_name":"Edward Lank","orcid":"https://orcid.org/0000-0003-2760-2370"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Edward Lank","raw_affiliation_strings":["University of Waterloo, Waterloo, ON, Canada"],"affiliations":[{"raw_affiliation_string":"University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058043671","display_name":"Yi-Chun Nikko Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I71838634","display_name":"San Francisco State University","ror":"https://ror.org/05ykr0121","country_code":"US","type":"education","lineage":["https://openalex.org/I71838634"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yi-Chun Nikko Cheng","raw_affiliation_strings":["San Francisco State University, San Francisco, CA"],"affiliations":[{"raw_affiliation_string":"San Francisco State University, San Francisco, CA","institution_ids":["https://openalex.org/I71838634"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113670849","display_name":"Jaime Ruiz","orcid":null},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jaime Ruiz","raw_affiliation_strings":["University of Waterloo, Waterloo, ON, Canada"],"affiliations":[{"raw_affiliation_string":"University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5042792975"],"corresponding_institution_ids":["https://openalex.org/I151746483"],"apc_list":null,"apc_paid":null,"fwci":1.6921,"has_fulltext":false,"cited_by_count":99,"citation_normalized_percentile":{"value":0.8274378,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"637","last_page":"646"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10982","display_name":"Motor Control and Adaptation","score":0.9991000294685364,"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/T10982","display_name":"Motor Control and Adaptation","score":0.9991000294685364,"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/T10914","display_name":"Tactile and Sensory Interactions","score":0.9987999796867371,"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/T12290","display_name":"Human Motion and Animation","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/kinematics","display_name":"Kinematics","score":0.7284777164459229},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.686845064163208},{"id":"https://openalex.org/keywords/extrapolation","display_name":"Extrapolation","score":0.6585084199905396},{"id":"https://openalex.org/keywords/stylus","display_name":"Stylus","score":0.4884899854660034},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4562458097934723},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45569485425949097},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4438115656375885},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3165116012096405},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19167008996009827}],"concepts":[{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.7284777164459229},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.686845064163208},{"id":"https://openalex.org/C132459708","wikidata":"https://www.wikidata.org/wiki/Q744069","display_name":"Extrapolation","level":2,"score":0.6585084199905396},{"id":"https://openalex.org/C164086593","wikidata":"https://www.wikidata.org/wiki/Q1227035","display_name":"Stylus","level":2,"score":0.4884899854660034},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4562458097934723},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45569485425949097},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4438115656375885},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3165116012096405},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19167008996009827},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1240624.1240724","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1240624.1240724","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W84091793","https://openalex.org/W1555904072","https://openalex.org/W1606635698","https://openalex.org/W1885639605","https://openalex.org/W1892385946","https://openalex.org/W1988951530","https://openalex.org/W1989752062","https://openalex.org/W2003987904","https://openalex.org/W2014215901","https://openalex.org/W2076656908","https://openalex.org/W2096316847","https://openalex.org/W2101388024","https://openalex.org/W2112103637","https://openalex.org/W2112824399","https://openalex.org/W2122531973","https://openalex.org/W2148245001","https://openalex.org/W2170120409","https://openalex.org/W2179427518","https://openalex.org/W2293737032","https://openalex.org/W3006244971","https://openalex.org/W3048300588","https://openalex.org/W4229880445","https://openalex.org/W4239127880","https://openalex.org/W6684837874","https://openalex.org/W7037358129"],"related_works":["https://openalex.org/W1514950410","https://openalex.org/W4310506326","https://openalex.org/W2047065129","https://openalex.org/W2401480642","https://openalex.org/W3022681545","https://openalex.org/W2484086337","https://openalex.org/W2072361192","https://openalex.org/W2499398221","https://openalex.org/W2365121631","https://openalex.org/W2076571966"],"abstract_inverted_index":{"Recently":[0],"proposed":[1],"novel":[2,76],"interaction":[3,46],"techniques":[4,39,47],"such":[5],"as":[6,114,116,127],"cursor":[7],"jumping":[8],"[1]":[9],"and":[10,105],"target":[11],"expansion":[12],"for":[13,64],"tiled":[14],"arrangements":[15],"[13]":[16,121],"are":[17],"predicated":[18],"on":[19],"an":[20,28],"ability":[21],"to":[22,32,43,78],"effectively":[23],"estimate":[24],"the":[25,41,79,117],"endpoint":[26,37,56,65,109],"of":[27,54,71,81,89],"input":[29],"gesture":[30],"prior":[31],"its":[33],"completion.":[34],"However,":[35],"current":[36],"estimation":[38],"lack":[40,53],"precision":[42],"make":[44],"these":[45],"possible.":[48],"To":[49],"address":[50],"a":[51,61,75,87],"recognized":[52],"effective":[55],"prediction":[57,66,110],"mechanisms,":[58],"we":[59],"propose":[60],"new":[62],"technique":[63,85,120],"that":[67,93,107],"applies":[68],"established":[69],"laws":[70],"motion":[72,82,130],"kinematics":[73],"in":[74],"way":[77],"identification":[80],"endpoint.":[83,131],"The":[84],"derives":[86],"model":[88,99],"speed":[90],"over":[91],"distance":[92],"permits":[94],"extrapolation.":[95],"We":[96],"verify":[97],"our":[98,108],"experimentally":[100],"using":[101],"stylus":[102],"targeting":[103],"tasks,":[104],"demonstrate":[106],"is":[111],"almost":[112],"twice":[113,126],"accurate":[115],"previously":[118],"tested":[119],"at":[122],"points":[123],"more":[124],"than":[125],"distant":[128],"from":[129]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":12},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":14},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":5}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}