{"id":"https://openalex.org/W2527078720","doi":"https://doi.org/10.1109/icmew.2016.7574685","title":"A noise reduction method for IMU and its application on handwriting trajectory reconstruction","display_name":"A noise reduction method for IMU and its application on handwriting trajectory reconstruction","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2527078720","doi":"https://doi.org/10.1109/icmew.2016.7574685","mag":"2527078720"},"language":"en","primary_location":{"id":"doi:10.1109/icmew.2016.7574685","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmew.2016.7574685","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)","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/A5063016153","display_name":"Tse\u2013Yu Pan","orcid":"https://orcid.org/0000-0001-8570-1575"},"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":"Tse-Yu Pan","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Cheng Kung University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Cheng Kung University, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103796981","display_name":"Chih-Hsuan Kuo","orcid":null},"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-Hsuan Kuo","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Cheng Kung University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Cheng Kung University, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029298215","display_name":"Min\u2010Chun Hu","orcid":"https://orcid.org/0000-0003-1917-2155"},"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":"Min-Chun Hu","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Cheng Kung University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Cheng Kung University, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.169,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.58066746,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"18","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9991999864578247,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/handwriting","display_name":"Handwriting","score":0.7292212247848511},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.7158984541893005},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.7012253999710083},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.6936637163162231},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6820856332778931},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.620704710483551},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5577415823936462},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5035468935966492},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4913436472415924},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0973149836063385}],"concepts":[{"id":"https://openalex.org/C2779386606","wikidata":"https://www.wikidata.org/wiki/Q2393642","display_name":"Handwriting","level":2,"score":0.7292212247848511},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.7158984541893005},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7012253999710083},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.6936637163162231},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6820856332778931},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.620704710483551},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5577415823936462},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5035468935966492},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4913436472415924},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0973149836063385},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmew.2016.7574685","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmew.2016.7574685","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6899999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1973981446","https://openalex.org/W1988305328","https://openalex.org/W1993267444","https://openalex.org/W2066991356","https://openalex.org/W2080116634","https://openalex.org/W2102506192","https://openalex.org/W2109297795","https://openalex.org/W2120398582","https://openalex.org/W2123008889","https://openalex.org/W2129332051","https://openalex.org/W2147157426","https://openalex.org/W2169384417"],"related_works":["https://openalex.org/W2388180914","https://openalex.org/W2063708026","https://openalex.org/W2507888814","https://openalex.org/W3118925046","https://openalex.org/W2381764175","https://openalex.org/W2561540377","https://openalex.org/W2360066868","https://openalex.org/W3084909207","https://openalex.org/W1694630026","https://openalex.org/W3166464480"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,66,112],"propose":[4],"a":[5,11,31,35,98,121,140],"trajectory":[6],"reconstruction":[7],"method":[8],"based":[9,125],"on":[10,126],"low-cost":[12],"IMU":[13,24,55,117],"(Inertial":[14],"Measurement":[15],"Unit),":[16],"which":[17,38],"is":[18,85,144],"usually":[19],"equipped":[20],"in":[21,26,108],"smartphones.":[22],"The":[23],"used":[25,145],"our":[27],"work":[28],"consists":[29],"of":[30,42,62,77,92,97,136,153],"3-axis":[32,36],"accelerometer":[33],"and":[34,44,50,119],"gyroscope,":[37],"can":[39],"record":[40],"information":[41],"acceleration":[43],"rotation,":[45],"respectively.":[46],"However,":[47],"intrinsic":[48],"bias":[49],"random":[51],"noise":[52],"cause":[53],"unreliable":[54],"signals.":[56],"Thus,":[57],"to":[58,70,87,101,132,146],"improve":[59],"the":[60,63,78,81,89,93,103,127,134,137,150,154],"accuracy":[61],"reconstructed":[64],"trajectory,":[65],"apply":[67],"filtering":[68],"methods":[69],"reduce":[71],"high":[72],"or":[73],"low":[74],"frequency":[75],"noises":[76],"signal.":[79],"Moreover,":[80],"machine":[82],"learning":[83],"technique":[84],"utilized":[86],"detect":[88,102],"movement":[90,105,122],"state":[91],"smartphone.":[94],"Also,":[95],"instead":[96],"simple":[99],"threshold":[100],"smartphone":[104],"as":[106],"implemented":[107],"previous":[109],"related":[110],"works,":[111],"extract":[113],"multiple":[114],"features":[115],"from":[116],"signals":[118],"train":[120],"detection":[123],"model":[124],"linear":[128],"discriminant":[129],"analysis":[130],"(LDA)":[131],"increase":[133],"robustness":[135],"system.":[138],"Finally,":[139],"\u201creset":[141],"switch\u201d":[142],"mechanism":[143],"more":[147],"effectively":[148],"restrain":[149],"accumulated":[151],"error":[152],"accelerometer.":[155]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}