{"id":"https://openalex.org/W1976779126","doi":"https://doi.org/10.1109/have.2012.6374445","title":"Evaluation of driving skills using an HMM-based distance measure","display_name":"Evaluation of driving skills using an HMM-based distance measure","publication_year":2012,"publication_date":"2012-10-01","ids":{"openalex":"https://openalex.org/W1976779126","doi":"https://doi.org/10.1109/have.2012.6374445","mag":"1976779126"},"language":"en","primary_location":{"id":"doi:10.1109/have.2012.6374445","is_oa":false,"landing_page_url":"https://doi.org/10.1109/have.2012.6374445","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Workshop on Haptic Audio Visual Environments and Games (HAVE 2012) Proceedings","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/A5040647193","display_name":"Reza Haghighi Osgouei","orcid":"https://orcid.org/0000-0002-5015-9576"},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Reza Haghighi Osgouei","raw_affiliation_strings":["Department of Computer Science and Engineering, Pohang University of Science and Engineering, Pohang, South Korea","Department of Computer Science and Engineering, Pohang University of Science and Engineering (POSTECH), Republic of Korea, 790-784"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Pohang University of Science and Engineering, Pohang, South Korea","institution_ids":["https://openalex.org/I123900574"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Pohang University of Science and Engineering (POSTECH), Republic of Korea, 790-784","institution_ids":["https://openalex.org/I123900574"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086283693","display_name":"Seungmoon Choi","orcid":"https://orcid.org/0000-0002-5889-1083"},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seungmoon Choi","raw_affiliation_strings":["Department of Computer Science and Engineering, Pohang University of Science and Engineering, Pohang, South Korea","Department of Computer Science and Engineering, Pohang University of Science and Engineering (POSTECH), Republic of Korea, 790-784"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Pohang University of Science and Engineering, Pohang, South Korea","institution_ids":["https://openalex.org/I123900574"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Pohang University of Science and Engineering (POSTECH), Republic of Korea, 790-784","institution_ids":["https://openalex.org/I123900574"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5040647193"],"corresponding_institution_ids":["https://openalex.org/I123900574"],"apc_list":null,"apc_paid":null,"fwci":1.3619,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.82477899,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"3","issue":null,"first_page":"50","last_page":"55"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9855999946594238,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.775694727897644},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.7361859679222107},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6733911633491516},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5508081912994385},{"id":"https://openalex.org/keywords/driving-simulator","display_name":"Driving simulator","score":0.5161310434341431},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4619389772415161},{"id":"https://openalex.org/keywords/judgement","display_name":"Judgement","score":0.461044043302536},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44848430156707764},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.40074777603149414},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3889088034629822},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.24282562732696533},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17735499143600464}],"concepts":[{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.775694727897644},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.7361859679222107},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6733911633491516},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5508081912994385},{"id":"https://openalex.org/C2780689630","wikidata":"https://www.wikidata.org/wiki/Q2081815","display_name":"Driving simulator","level":2,"score":0.5161310434341431},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4619389772415161},{"id":"https://openalex.org/C2776548248","wikidata":"https://www.wikidata.org/wiki/Q12621536","display_name":"Judgement","level":2,"score":0.461044043302536},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44848430156707764},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.40074777603149414},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3889088034629822},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.24282562732696533},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17735499143600464},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/have.2012.6374445","is_oa":false,"landing_page_url":"https://doi.org/10.1109/have.2012.6374445","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Workshop on Haptic Audio Visual Environments and Games (HAVE 2012) Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8199999928474426,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1497795142","https://openalex.org/W2075978670","https://openalex.org/W2086461263","https://openalex.org/W2097574127","https://openalex.org/W2102593338","https://openalex.org/W2125838338","https://openalex.org/W2130999854","https://openalex.org/W2140017549","https://openalex.org/W2152825437","https://openalex.org/W2155336606","https://openalex.org/W2171383895","https://openalex.org/W2261963636","https://openalex.org/W4231173882","https://openalex.org/W6629667987","https://openalex.org/W6680527857"],"related_works":["https://openalex.org/W2886802431","https://openalex.org/W4388216822","https://openalex.org/W1761762290","https://openalex.org/W4387575966","https://openalex.org/W2384262901","https://openalex.org/W2975214487","https://openalex.org/W651304006","https://openalex.org/W2345720417","https://openalex.org/W2385564112","https://openalex.org/W2324362495"],"abstract_inverted_index":{"In":[0],"this":[1,148],"paper,":[2],"we":[3,67],"address":[4],"a":[5,23,27,69,136,154],"model-based":[6],"objective":[7,91,133,161],"measure":[8],"for":[9,39,139,157],"the":[10,49,52,62,65,79,100,108,118,127,132,140],"evaluation":[11],"of":[12,29,35,45,56,64,82,111,147,164],"driving":[13,58,70,80,143,155,165],"skills":[14,115],"between":[15,26,51,95,126],"different":[16],"drivers.":[17],"This":[18],"metric":[19,134],"is":[20,37,47,135],"based":[21],"on":[22,48],"stochastic":[24,53],"distance":[25],"pair":[28],"hidden":[30],"Markov":[31],"models":[32],"(HMMs)":[33],"each":[34,96,112],"which":[36],"trained":[38],"an":[40,75,87,160],"individual":[41],"driver.":[42,89,120],"The":[43,90,145],"emphasis":[44],"comparison":[46],"differences":[50,141],"somatosensory":[54],"processes":[55],"human":[57],"skills.":[59,144,166],"To":[60],"evaluate":[61],"adequacy":[63],"metric,":[66],"developed":[68],"simulator":[71,156],"and":[72,86,99,103],"carried":[73],"out":[74],"experiment":[76],"that":[77,131],"collected":[78],"data":[81],"many":[83],"novice":[84,97,113],"drivers":[85],"expert":[88,101,119],"measures":[92],"were":[93,105],"computed":[94],"driver":[98],"driver,":[102],"they":[104],"compared":[106],"with":[107,159],"subjective":[109],"judgement":[110],"driver's":[114],"made":[116],"by":[117],"Analysis":[121],"results":[122],"showed":[123],"high":[124],"agreement":[125],"two":[128],"measures,":[129],"supporting":[130],"suitable":[137],"descriptor":[138],"in":[142],"findings":[146],"work":[149],"can":[150],"contribute":[151],"to":[152],"developing":[153],"training":[158],"assessment":[162],"function":[163]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}