{"id":"https://openalex.org/W2094302409","doi":"https://doi.org/10.1109/icarcv.2014.7064346","title":"Material classification based on thermal and surface texture properties evaluated against human performance","display_name":"Material classification based on thermal and surface texture properties evaluated against human performance","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W2094302409","doi":"https://doi.org/10.1109/icarcv.2014.7064346","mag":"2094302409"},"language":"en","primary_location":{"id":"doi:10.1109/icarcv.2014.7064346","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2014.7064346","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 13th International Conference on Control Automation Robotics & Vision (ICARCV)","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/A5042341508","display_name":"Emmett Kerr","orcid":"https://orcid.org/0000-0002-4551-1272"},"institutions":[{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Emmett Kerr","raw_affiliation_strings":["Intelligent Systems Research Centre, University of Ulster, Northern Ireland"],"affiliations":[{"raw_affiliation_string":"Intelligent Systems Research Centre, University of Ulster, Northern Ireland","institution_ids":["https://openalex.org/I138801177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077410877","display_name":"T.M. McGinnity","orcid":"https://orcid.org/0000-0002-9897-4748"},"institutions":[{"id":"https://openalex.org/I52590639","display_name":"Nottingham Trent University","ror":"https://ror.org/04xyxjd90","country_code":"GB","type":"education","lineage":["https://openalex.org/I52590639"]},{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"T. M. McGinnity","raw_affiliation_strings":["Intelligent Systems Research Centre, University of Ulster, Northern Ireland","Nottingham Trent University, UK"],"affiliations":[{"raw_affiliation_string":"Intelligent Systems Research Centre, University of Ulster, Northern Ireland","institution_ids":["https://openalex.org/I138801177"]},{"raw_affiliation_string":"Nottingham Trent University, UK","institution_ids":["https://openalex.org/I52590639"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070227862","display_name":"Sonya Coleman","orcid":"https://orcid.org/0000-0002-4676-7640"},"institutions":[{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sonya Coleman","raw_affiliation_strings":["Intelligent Systems Research Centre, University of Ulster, Northern Ireland"],"affiliations":[{"raw_affiliation_string":"Intelligent Systems Research Centre, University of Ulster, Northern Ireland","institution_ids":["https://openalex.org/I138801177"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5042341508"],"corresponding_institution_ids":["https://openalex.org/I138801177"],"apc_list":null,"apc_paid":null,"fwci":0.4593,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.63596212,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"444","last_page":"449"},"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/T10338","display_name":"Advanced Sensor and Energy Harvesting Materials","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10789","display_name":"Interactive and Immersive Displays","score":0.9584000110626221,"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/principal-component-analysis","display_name":"Principal component analysis","score":0.6912664175033569},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6822268962860107},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.626831591129303},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6211886405944824},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5791726112365723},{"id":"https://openalex.org/keywords/tactile-sensor","display_name":"Tactile sensor","score":0.5248446464538574},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4766405522823334},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46685248613357544},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.44130218029022217},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4209536015987396},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.3206351399421692},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.1414697766304016},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12945228815078735},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09230256080627441},{"id":"https://openalex.org/keywords/composite-material","display_name":"Composite material","score":0.061591506004333496}],"concepts":[{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6912664175033569},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6822268962860107},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.626831591129303},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6211886405944824},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5791726112365723},{"id":"https://openalex.org/C46722567","wikidata":"https://www.wikidata.org/wiki/Q7674139","display_name":"Tactile sensor","level":3,"score":0.5248446464538574},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4766405522823334},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46685248613357544},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.44130218029022217},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4209536015987396},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.3206351399421692},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.1414697766304016},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12945228815078735},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09230256080627441},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.061591506004333496},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icarcv.2014.7064346","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2014.7064346","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 13th International Conference on Control Automation Robotics & Vision (ICARCV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1505064308","https://openalex.org/W1969299770","https://openalex.org/W1976723617","https://openalex.org/W1978443257","https://openalex.org/W2067454831","https://openalex.org/W2080317558","https://openalex.org/W2108251881","https://openalex.org/W2139809884","https://openalex.org/W2158333529"],"related_works":["https://openalex.org/W1975632186","https://openalex.org/W3027745756","https://openalex.org/W3205213561","https://openalex.org/W2531880140","https://openalex.org/W2126145365","https://openalex.org/W2036609560","https://openalex.org/W346861917","https://openalex.org/W3024018414","https://openalex.org/W385273440","https://openalex.org/W1542592062"],"abstract_inverted_index":{"Effective":[0],"robotic":[1],"grasping":[2],"and":[3,14,43,64,105,117],"manipulation":[4],"requires":[5],"knowledge":[6],"about":[7,36],"the":[8,15,31,37,76,87,118,122],"surface":[9,41,65],"properties":[10,63],"of":[11,33,57,69],"an":[12,94],"object":[13],"environment":[16],"in":[17],"which":[18,89],"it":[19],"is":[20,112],"located.":[21],"Physical":[22],"contact":[23],"with":[24,114],"materials":[25,58],"using":[26],"tactile":[27,74],"sensors":[28],"can":[29],"enable":[30],"retrieval":[32],"detailed":[34],"information":[35],"material,":[38],"i.e.":[39],"compressibility,":[40],"texture":[42],"thermal":[44,62],"properties.":[45],"This":[46],"paper":[47],"describes":[48],"a":[49,54,72],"system":[50,77,111,124],"used":[51,91],"to":[52,83,92,99],"classify":[53,100],"wide":[55],"range":[56],"based":[59],"on":[60],"their":[61],"texture.":[66],"Following":[67],"acquisition":[68],"data":[70,88],"from":[71,86],"sophisticated":[73],"sensor,":[75],"uses":[78],"principal":[79],"component":[80],"analysis":[81],"(PCA)":[82],"extract":[84],"features":[85],"are":[90],"train":[93],"Artificial":[95],"Neural":[96],"Network":[97],"(ANN)":[98],"materials,":[101],"first":[102],"into":[103],"groups":[104],"then":[106],"as":[107],"individual":[108],"materials.":[109],"The":[110],"compared":[113],"human":[115],"performance":[116],"results":[119],"demonstrate":[120],"that":[121],"proposed":[123],"performed":[125],"better":[126],"than":[127],"humans":[128],"by":[129],"almost":[130],"10%.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}