{"id":"https://openalex.org/W4284884609","doi":"https://doi.org/10.1109/eit53891.2022.9813935","title":"Inertia Measurement Unit-Based Displacement Estimation via Velocity Drift Compensation Using Ordinary Least Squares Method","display_name":"Inertia Measurement Unit-Based Displacement Estimation via Velocity Drift Compensation Using Ordinary Least Squares Method","publication_year":2022,"publication_date":"2022-05-19","ids":{"openalex":"https://openalex.org/W4284884609","doi":"https://doi.org/10.1109/eit53891.2022.9813935"},"language":"en","primary_location":{"id":"doi:10.1109/eit53891.2022.9813935","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eit53891.2022.9813935","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Electro Information Technology (eIT)","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/A5021708056","display_name":"Quazi Irfan","orcid":null},"institutions":[{"id":"https://openalex.org/I177156846","display_name":"South Dakota State University","ror":"https://ror.org/015jmes13","country_code":"US","type":"education","lineage":["https://openalex.org/I177156846"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Quazi Irfan","raw_affiliation_strings":["South Dakota State University,Mathematics & Statistics Department, Mechanical Engineering Department,Brookings,SD,USA,57007"],"affiliations":[{"raw_affiliation_string":"South Dakota State University,Mathematics & Statistics Department, Mechanical Engineering Department,Brookings,SD,USA,57007","institution_ids":["https://openalex.org/I177156846"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058641670","display_name":"Marco Ciarci\u00e0","orcid":"https://orcid.org/0000-0001-7236-7520"},"institutions":[{"id":"https://openalex.org/I177156846","display_name":"South Dakota State University","ror":"https://ror.org/015jmes13","country_code":"US","type":"education","lineage":["https://openalex.org/I177156846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marco Ciarcia","raw_affiliation_strings":["South Dakota State University,Mathematics & Statistics Department, Mechanical Engineering Department,Brookings,SD,USA,57007"],"affiliations":[{"raw_affiliation_string":"South Dakota State University,Mathematics & Statistics Department, Mechanical Engineering Department,Brookings,SD,USA,57007","institution_ids":["https://openalex.org/I177156846"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062132863","display_name":"Gary Hatfield","orcid":"https://orcid.org/0000-0003-1326-3240"},"institutions":[{"id":"https://openalex.org/I177156846","display_name":"South Dakota State University","ror":"https://ror.org/015jmes13","country_code":"US","type":"education","lineage":["https://openalex.org/I177156846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gary Hatfield","raw_affiliation_strings":["South Dakota State University,Mathematics & Statistics Department, Mechanical Engineering Department,Brookings,SD,USA,57007"],"affiliations":[{"raw_affiliation_string":"South Dakota State University,Mathematics & Statistics Department, Mechanical Engineering Department,Brookings,SD,USA,57007","institution_ids":["https://openalex.org/I177156846"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5021708056"],"corresponding_institution_ids":["https://openalex.org/I177156846"],"apc_list":null,"apc_paid":null,"fwci":0.3079,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.72598737,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11325","display_name":"Inertial Sensor and Navigation","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T11325","display_name":"Inertial Sensor and Navigation","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T10531","display_name":"Advanced Vision and Imaging","score":0.9896000027656555,"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/displacement","display_name":"Displacement (psychology)","score":0.8354864120483398},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.8032684922218323},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.6896847486495972},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.6616133451461792},{"id":"https://openalex.org/keywords/inertia","display_name":"Inertia","score":0.6597272157669067},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.542522668838501},{"id":"https://openalex.org/keywords/inertial-frame-of-reference","display_name":"Inertial frame of reference","score":0.5373920202255249},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4958866536617279},{"id":"https://openalex.org/keywords/accuracy-and-precision","display_name":"Accuracy and precision","score":0.46838003396987915},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4462588131427765},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.32453158497810364},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.24936655163764954},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.23217839002609253},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2143356204032898},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21026766300201416},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09107628464698792}],"concepts":[{"id":"https://openalex.org/C107551265","wikidata":"https://www.wikidata.org/wiki/Q1458245","display_name":"Displacement (psychology)","level":2,"score":0.8354864120483398},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.8032684922218323},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.6896847486495972},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.6616133451461792},{"id":"https://openalex.org/C110407247","wikidata":"https://www.wikidata.org/wiki/Q122508","display_name":"Inertia","level":2,"score":0.6597272157669067},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.542522668838501},{"id":"https://openalex.org/C173386949","wikidata":"https://www.wikidata.org/wiki/Q192735","display_name":"Inertial frame of reference","level":2,"score":0.5373920202255249},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4958866536617279},{"id":"https://openalex.org/C202799725","wikidata":"https://www.wikidata.org/wiki/Q272035","display_name":"Accuracy and precision","level":2,"score":0.46838003396987915},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4462588131427765},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.32453158497810364},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.24936655163764954},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.23217839002609253},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2143356204032898},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21026766300201416},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09107628464698792},{"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/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","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/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/eit53891.2022.9813935","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eit53891.2022.9813935","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Electro Information Technology (eIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W90798936","https://openalex.org/W785950572","https://openalex.org/W1582729082","https://openalex.org/W1630120088","https://openalex.org/W1990473391","https://openalex.org/W1995046076","https://openalex.org/W2088369968","https://openalex.org/W2122450421","https://openalex.org/W2128343663","https://openalex.org/W2149631872","https://openalex.org/W2157517022","https://openalex.org/W2480859604","https://openalex.org/W2910351748","https://openalex.org/W2982496830","https://openalex.org/W3106746018","https://openalex.org/W3107583567","https://openalex.org/W6721887335"],"related_works":["https://openalex.org/W2113788199","https://openalex.org/W4285140249","https://openalex.org/W4233957653","https://openalex.org/W2354989395","https://openalex.org/W2369670045","https://openalex.org/W2621841330","https://openalex.org/W3137607378","https://openalex.org/W2382856674","https://openalex.org/W2391889437","https://openalex.org/W3042270482"],"abstract_inverted_index":{"In":[0,108,129],"this":[1,25],"study,":[2],"we":[3,92],"propose":[4],"a":[5,16,28,44,68,79,102],"methodology":[6],"to":[7],"retrieve":[8],"displacement":[9,63,134,139],"estimates":[10,96],"from":[11,101],"acceleration":[12,51],"data":[13,52],"by":[14,141],"employing":[15],"drift":[17,74],"compensation":[18,80],"algorithm.":[19],"The":[20],"sensing":[21],"device":[22],"used":[23],"in":[24,55,61,119],"study":[26],"is":[27],"micro":[29],"electromechanical":[30],"system":[31],"type":[32,37],"inertial":[33],"measurement":[34],"sensor.":[35],"These":[36],"of":[38,49,88],"devices":[39],"are":[40],"inherently":[41],"noisy,":[42],"and":[43,57,77,122],"mere":[45],"numerical":[46],"integration":[47],"process":[48],"the":[50,62,73,86,89,98,112,120,132,137,142],"induces":[53],"drifts":[54,60],"velocity":[56,76],"even":[58],"larger":[59],"estimation.":[64],"This":[65],"paper":[66],"presents":[67],"offline":[69],"method":[70],"that":[71],"determine":[72],"on":[75],"implement":[78],"for":[81,125],"position":[82,95,99],"determination.":[83],"To":[84],"assess":[85],"accuracy":[87,104],"proposed":[90],"algorithm,":[91],"compared":[93],"our":[94,109],"with":[97],"obtained":[100],"high":[103,144],"motion":[105],"capture":[106],"system.":[107],"experimental":[110],"campaign,":[111],"sensor":[113],"was":[114],"moved":[115],"along":[116],"one":[117],"axis":[118],"forward":[121],"backward":[123],"directions":[124],"different":[126],"time":[127],"period.":[128],"all":[130],"cases,":[131],"estimated":[133],"closely":[135],"followed":[136],"true":[138],"measured":[140],"external":[143],"precision":[145],"camera.":[146]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}