{"id":"https://openalex.org/W2551910181","doi":"https://doi.org/10.1109/ijcnn.2016.7727889","title":"Tactile sequence based object categorization: A Bag of features modeled by Linear Dynamic System with Symmetric Transition Matrix","display_name":"Tactile sequence based object categorization: A Bag of features modeled by Linear Dynamic System with Symmetric Transition Matrix","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2551910181","doi":"https://doi.org/10.1109/ijcnn.2016.7727889","mag":"2551910181"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2016.7727889","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727889","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","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/A5101821280","display_name":"Haolin Yang","orcid":"https://orcid.org/0000-0002-8228-4611"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haolin Yang","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055546056","display_name":"Fuchun Sun","orcid":"https://orcid.org/0000-0003-3546-6305"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuchun Sun","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032642601","display_name":"Wenbing Huang","orcid":"https://orcid.org/0000-0002-2566-4159"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbing Huang","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090184412","display_name":"Lele Cao","orcid":"https://orcid.org/0000-0002-5680-9031"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lele Cao","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029662229","display_name":"Bin Fang","orcid":"https://orcid.org/0000-0002-9149-7336"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Fang","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101821280"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.65,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.70161863,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"57","issue":null,"first_page":"5218","last_page":"5225"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10914","display_name":"Tactile and Sensory Interactions","score":0.9994000196456909,"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":0.9994000196456909,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9912999868392944,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9803000092506409,"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/computer-science","display_name":"Computer science","score":0.6600559949874878},{"id":"https://openalex.org/keywords/codebook","display_name":"Codebook","score":0.6586675643920898},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6198448538780212},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.6019907593727112},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5973590016365051},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5574122071266174},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5522093176841736},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5324906706809998},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.5310240983963013},{"id":"https://openalex.org/keywords/stochastic-matrix","display_name":"Stochastic matrix","score":0.5145682692527771},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.47729718685150146},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.463078111410141},{"id":"https://openalex.org/keywords/linear-dynamical-system","display_name":"Linear dynamical system","score":0.43975698947906494},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32311663031578064},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21606579422950745},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.17300692200660706},{"id":"https://openalex.org/keywords/linear-system","display_name":"Linear system","score":0.15526071190834045}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6600559949874878},{"id":"https://openalex.org/C127759330","wikidata":"https://www.wikidata.org/wiki/Q637416","display_name":"Codebook","level":2,"score":0.6586675643920898},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6198448538780212},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6019907593727112},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5973590016365051},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5574122071266174},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5522093176841736},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5324906706809998},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.5310240983963013},{"id":"https://openalex.org/C49555168","wikidata":"https://www.wikidata.org/wiki/Q176583","display_name":"Stochastic matrix","level":3,"score":0.5145682692527771},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.47729718685150146},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.463078111410141},{"id":"https://openalex.org/C114275822","wikidata":"https://www.wikidata.org/wiki/Q621512","display_name":"Linear dynamical system","level":3,"score":0.43975698947906494},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32311663031578064},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21606579422950745},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17300692200660706},{"id":"https://openalex.org/C6802819","wikidata":"https://www.wikidata.org/wiki/Q1072174","display_name":"Linear system","level":2,"score":0.15526071190834045},{"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2016.7727889","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727889","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.6600000262260437,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W260529866","https://openalex.org/W1665757327","https://openalex.org/W1903814928","https://openalex.org/W1964805186","https://openalex.org/W1983615882","https://openalex.org/W1985541665","https://openalex.org/W1992666150","https://openalex.org/W1992960277","https://openalex.org/W2021473074","https://openalex.org/W2024764948","https://openalex.org/W2042599225","https://openalex.org/W2070401730","https://openalex.org/W2087347434","https://openalex.org/W2097645701","https://openalex.org/W2105795585","https://openalex.org/W2108674937","https://openalex.org/W2142172505","https://openalex.org/W2151103935","https://openalex.org/W2153635508","https://openalex.org/W2160144769","https://openalex.org/W2196965580","https://openalex.org/W2464702887","https://openalex.org/W2564318728","https://openalex.org/W2912155302","https://openalex.org/W2999729612","https://openalex.org/W4239510810","https://openalex.org/W4285719527","https://openalex.org/W7019129576"],"related_works":["https://openalex.org/W2293149949","https://openalex.org/W2026099691","https://openalex.org/W4284672201","https://openalex.org/W2377486419","https://openalex.org/W2943202426","https://openalex.org/W2163679795","https://openalex.org/W2736714427","https://openalex.org/W2137816434","https://openalex.org/W2017956276","https://openalex.org/W2048606991"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,86,107,126],"propose":[4],"a":[5,71,111],"novel":[6],"categorization":[7],"framework":[8,159,203],"to":[9,51,96,145],"recognize":[10],"tactile":[11,20,26,58,72,186],"sequences":[12,27,62,187],"based":[13],"on":[14,162],"two":[15],"particular":[16],"properties":[17,103],"of":[18,39,81,110,116,149,152,157,166,185,192,201],"the":[19,23,37,53,68,82,88,117,128,137,141,150,153,179,183,190,199],"data.":[21],"For":[22,67],"first":[24],"one,":[25,70],"are":[28],"spatio-temporal":[29],"data":[30,59],"which":[31],"is":[32,49,160,176],"sequential":[33],"and":[34,182],"dynamic,":[35],"depicting":[36],"process":[38],"grasping":[40,45,83],"an":[41],"object":[42],"in":[43,78,104,143,204],"different":[44,79],"stages;":[46],"therefore,":[47,85],"it":[48],"reasonable":[50],"discover":[52],"dynamical":[54,76],"pattern":[55],"by":[56],"modeling":[57],"as":[60,95,122,140],"integral":[61],"rather":[63,135],"than":[64,136,178],"individual":[65],"frames.":[66],"second":[69],"sequence":[73,90,209],"contains":[74],"various":[75],"patterns":[77],"stages":[80],"process;":[84],"decompose":[87],"whole":[89],"into":[91],"multiple":[92],"mini-sequences":[93],"so":[94],"enhance":[97],"feature":[98,123],"resolution.":[99],"To":[100],"address":[101],"both":[102],"our":[105,158,202],"framework,":[106],"take":[108],"advantage":[109],"Bag-of-System":[112],"model":[113],"using":[114,174],"parameters":[115],"Linear":[118],"Dynamic":[119],"System":[120],"(LDS)":[121],"descriptors.":[124],"Moreover,":[125],"employ":[127],"LDS":[129,139],"with":[130,206],"Symmetric":[131],"Transition":[132],"matrix":[133],"(LDSST)":[134],"original":[138,180],"building-block":[142],"order":[144],"obtain":[146],"accurate":[147],"codewords":[148],"codebook":[151],"Bag-of-System.":[154],"The":[155,194],"performance":[156],"evaluated":[161],"six":[163],"real-world":[164],"databases":[165],"three":[167],"groups.":[168],"Our":[169],"experiments":[170],"show":[171,198],"that":[172],"classification":[173],"LDSST":[175],"better":[177],"LDS,":[181],"decomposition":[184],"does":[188],"improve":[189],"accuracy":[191],"classification.":[193],"experiment":[195],"results":[196],"also":[197],"superiority":[200],"comparison":[205],"other":[207],"state-of-the-art":[208],"classifiers.":[210]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
