{"id":"https://openalex.org/W2143789903","doi":"https://doi.org/10.1109/robot.2008.4543507","title":"Target prediction for icon clicking by athetoid persons","display_name":"Target prediction for icon clicking by athetoid persons","publication_year":2008,"publication_date":"2008-05-01","ids":{"openalex":"https://openalex.org/W2143789903","doi":"https://doi.org/10.1109/robot.2008.4543507","mag":"2143789903"},"language":"en","primary_location":{"id":"doi:10.1109/robot.2008.4543507","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robot.2008.4543507","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Robotics and Automation","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/A5109931154","display_name":"Kevin Olds","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]},{"id":"https://openalex.org/I107672454","display_name":"Dartmouth College","ror":"https://ror.org/049s0rh22","country_code":"US","type":"education","lineage":["https://openalex.org/I107672454"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kevin C. Olds","raw_affiliation_strings":["Dartmouth College, Hanover, NH, USA","Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Dartmouth College, Hanover, NH, USA","institution_ids":["https://openalex.org/I107672454"]},{"raw_affiliation_string":"Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076453867","display_name":"Sara Sibenaller","orcid":null},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sara Sibenaller","raw_affiliation_strings":["Department of Rehab Sciences and Technol, University of Pittsburgh, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Rehab Sciences and Technol, University of Pittsburgh, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079182436","display_name":"Rory A. Cooper","orcid":"https://orcid.org/0000-0003-0405-5773"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rory A. Cooper","raw_affiliation_strings":["Department of Rehab Sciences and Technol, University of Pittsburgh, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Rehab Sciences and Technol, University of Pittsburgh, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063552401","display_name":"Dan Ding","orcid":"https://orcid.org/0000-0003-1873-6510"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dan Ding","raw_affiliation_strings":["Department of Rehab Sciences and Technol, University of Pittsburgh, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Rehab Sciences and Technol, University of Pittsburgh, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050697502","display_name":"Cameron N. Riviere","orcid":"https://orcid.org/0000-0002-6749-3140"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cameron Riviere","raw_affiliation_strings":["Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5109931154"],"corresponding_institution_ids":["https://openalex.org/I107672454","https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":0.1492,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.54382444,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2043","last_page":"2048"},"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/T10982","display_name":"Motor Control and Adaptation","score":0.9909999966621399,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9908000230789185,"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":0.6783458590507507},{"id":"https://openalex.org/keywords/joystick","display_name":"Joystick","score":0.6272805333137512},{"id":"https://openalex.org/keywords/fittss-law","display_name":"Fitts's law","score":0.6076518297195435},{"id":"https://openalex.org/keywords/cursor","display_name":"Cursor (databases)","score":0.6024172902107239},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.5255107879638672},{"id":"https://openalex.org/keywords/target-acquisition","display_name":"Target acquisition","score":0.5196617841720581},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4926665425300598},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43373292684555054},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.3822590112686157},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35709095001220703},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3324536979198456},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16195440292358398},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09718266129493713}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6783458590507507},{"id":"https://openalex.org/C96439379","wikidata":"https://www.wikidata.org/wiki/Q178805","display_name":"Joystick","level":2,"score":0.6272805333137512},{"id":"https://openalex.org/C159842133","wikidata":"https://www.wikidata.org/wiki/Q1137548","display_name":"Fitts's law","level":3,"score":0.6076518297195435},{"id":"https://openalex.org/C2776990265","wikidata":"https://www.wikidata.org/wiki/Q2998101","display_name":"Cursor (databases)","level":2,"score":0.6024172902107239},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.5255107879638672},{"id":"https://openalex.org/C2779726219","wikidata":"https://www.wikidata.org/wiki/Q7685884","display_name":"Target acquisition","level":2,"score":0.5196617841720581},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4926665425300598},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43373292684555054},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3822590112686157},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35709095001220703},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3324536979198456},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16195440292358398},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09718266129493713},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/robot.2008.4543507","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robot.2008.4543507","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Robotics and Automation","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.174.2468","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.174.2468","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ri.cmu.edu/pub_files/2008/5/athet_ICRA.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1596397204","https://openalex.org/W1975373608","https://openalex.org/W1999565148","https://openalex.org/W2021704123","https://openalex.org/W2050163417","https://openalex.org/W2051528508","https://openalex.org/W2055190542","https://openalex.org/W2093609209","https://openalex.org/W2125507331","https://openalex.org/W2147880780","https://openalex.org/W2157175718","https://openalex.org/W2166169295"],"related_works":["https://openalex.org/W2331192260","https://openalex.org/W2032342297","https://openalex.org/W2155292754","https://openalex.org/W2015186024","https://openalex.org/W2125507331","https://openalex.org/W2166827828","https://openalex.org/W2113746821","https://openalex.org/W2100999732","https://openalex.org/W2027651395","https://openalex.org/W2994428967"],"abstract_inverted_index":{"We":[0],"present":[1],"an":[2,35],"investigation":[3],"into":[4],"modeling":[5],"of":[6,11,45,51,60,132,142,149],"athetoid":[7,28],"motion":[8],"and":[9,43,115],"prediction":[10,83],"user":[12],"intent,":[13],"for":[14,78],"use":[15],"in":[16,151],"assistive":[17],"computer":[18],"interfaces":[19],"during":[20,30],"icon-clicking":[21,32,80],"tasks.":[22],"Data":[23],"were":[24],"recorded":[25,62],"from":[26],"three":[27],"patients":[29],"unassisted":[31],"trials":[33],"with":[34,54,124,153],"isometric":[36],"joystick.":[37],"In":[38],"order":[39],"to":[40,88,118],"facilitate":[41],"development":[42],"testing":[44,53],"filter":[46,84,95,138],"designs":[47],"without":[48],"the":[49,61,74,79,90,113,120,130,133,137,154],"difficulty":[50],"repeated":[52],"human":[55],"subjects,":[56],"a":[57,82,99,125,140,147],"quantitative":[58],"model":[59,72,104],"patient":[63,155],"data":[64,108],"was":[65,85],"developed":[66,87],"using":[67],"pseudoinverse":[68],"methods.":[69],"Using":[70],"this":[71],"within":[73],"visuomotor":[75],"control":[76],"loop":[77],"task,":[81],"then":[86],"reduce":[89],"target":[91,143],"acquisition":[92,144],"time.":[93],"The":[94],"is":[96],"based":[97],"on":[98],"novel":[100],"\"autoregressive":[101],"stretching":[102],"window\"":[103],"which":[105],"selects":[106],"five":[107],"points":[109],"evenly":[110],"distributed":[111],"across":[112],"input":[114],"output":[116],"histories":[117],"predict":[119],"intended":[121],"target,":[122],"together":[123],"second-order":[126],"system":[127],"that":[128],"smoothes":[129],"movement":[131],"cursor.":[134],"On":[135],"average,":[136],"demonstrated":[139],"reduction":[141],"time":[145],"by":[146],"factor":[148],"2.7":[150],"experiments":[152],"models.":[156]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}