{"id":"https://openalex.org/W2904370870","doi":"https://doi.org/10.1109/gcce.2018.8574878","title":"Position Smoothing Based on Quadratic Bezier Curves Algorithm on Capacitive Touch Panels","display_name":"Position Smoothing Based on Quadratic Bezier Curves Algorithm on Capacitive Touch Panels","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2904370870","doi":"https://doi.org/10.1109/gcce.2018.8574878","mag":"2904370870"},"language":"en","primary_location":{"id":"doi:10.1109/gcce.2018.8574878","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce.2018.8574878","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 7th Global Conference on Consumer Electronics (GCCE)","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/A5029130197","display_name":"Ting-Ching Chu","orcid":"https://orcid.org/0000-0001-9632-7208"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ting-Ching Chu","raw_affiliation_strings":["Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan, R. O. C"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan, R. O. C","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060570866","display_name":"Chih\u2010Lung Lin","orcid":"https://orcid.org/0000-0002-4948-8591"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chih-Lung Lin","raw_affiliation_strings":["Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan, R. O. C"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan, R. O. C","institution_ids":["https://openalex.org/I91807558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2082,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54235352,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"88","last_page":"89"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11245","display_name":"Advanced Numerical Analysis Techniques","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11245","display_name":"Advanced Numerical Analysis Techniques","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11583","display_name":"Advanced Measurement and Metrology Techniques","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T10638","display_name":"Optical measurement and interference techniques","score":0.9965000152587891,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/b\u00e9zier-curve","display_name":"B\u00e9zier curve","score":0.8021355867385864},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.6481181979179382},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.6142595410346985},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.6037312746047974},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5605536103248596},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.5599215626716614},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5477815866470337},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5393505096435547},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.517864465713501},{"id":"https://openalex.org/keywords/capacitive-sensing","display_name":"Capacitive sensing","score":0.492938756942749},{"id":"https://openalex.org/keywords/curve-fitting","display_name":"Curve fitting","score":0.4927537739276886},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4675499498844147},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3797804117202759},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35635173320770264},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3080032169818878},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.09091761708259583}],"concepts":[{"id":"https://openalex.org/C206423108","wikidata":"https://www.wikidata.org/wiki/Q214728","display_name":"B\u00e9zier curve","level":2,"score":0.8021355867385864},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.6481181979179382},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.6142595410346985},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.6037312746047974},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5605536103248596},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.5599215626716614},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5477815866470337},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5393505096435547},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.517864465713501},{"id":"https://openalex.org/C206755178","wikidata":"https://www.wikidata.org/wiki/Q1131271","display_name":"Capacitive sensing","level":2,"score":0.492938756942749},{"id":"https://openalex.org/C184389593","wikidata":"https://www.wikidata.org/wiki/Q603159","display_name":"Curve fitting","level":2,"score":0.4927537739276886},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4675499498844147},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3797804117202759},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35635173320770264},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3080032169818878},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.09091761708259583},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gcce.2018.8574878","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce.2018.8574878","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 7th Global Conference on Consumer Electronics (GCCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1606850352","https://openalex.org/W2059042033","https://openalex.org/W2784300670","https://openalex.org/W2911375322","https://openalex.org/W6758667875"],"related_works":["https://openalex.org/W4390761562","https://openalex.org/W2380689436","https://openalex.org/W2350784263","https://openalex.org/W2809875940","https://openalex.org/W2331199681","https://openalex.org/W2000114963","https://openalex.org/W3210970804","https://openalex.org/W3120665749","https://openalex.org/W2025082571","https://openalex.org/W2392898220"],"abstract_inverted_index":{"This":[0],"work":[1],"presents":[2],"a":[3,9],"new":[4],"smooth":[5,16,69],"tracking":[6,55],"method":[7,17,41,67,85],"for":[8],"capacitive":[10],"touch":[11,37,71],"panel":[12],"(CTP)":[13],"system.":[14],"The":[15,39],"is":[18,42],"based":[19],"on":[20],"quadratic":[21,64],"Bezier":[22,65],"curves":[23,66],"algorithm":[24],"which":[25],"can":[26],"accurately":[27],"track":[28],"the":[29,32,36,46,54,62,70,78,81,87],"trajectories":[30,72,74,79],"of":[31,35,44,80],"raw":[33,50],"data":[34,51],"panel.":[38],"proposed":[40,63],"capable":[43],"reducing":[45],"zigzag":[47],"trajectory":[48],"from":[49],"and":[52,86],"shorten":[53],"delay":[56,75],"distance.":[57],"Experimental":[58],"results":[59],"indicate":[60],"that":[61],"successfully":[68],"without":[73],"compared":[76],"with":[77],"moving":[82],"average":[83],"filter":[84,89],"Kalman":[88],"method.":[90]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
