{"id":"https://openalex.org/W4225374811","doi":"https://doi.org/10.1145/3517343.3517356","title":"Temporal and Spatio-temporal domains for Neuromorphic Tactile Texture Classification","display_name":"Temporal and Spatio-temporal domains for Neuromorphic Tactile Texture Classification","publication_year":2022,"publication_date":"2022-03-28","ids":{"openalex":"https://openalex.org/W4225374811","doi":"https://doi.org/10.1145/3517343.3517356"},"language":"en","primary_location":{"id":"doi:10.1145/3517343.3517356","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3517343.3517356","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neuro-Inspired Computational Elements Conference","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/A5029271011","display_name":"George Brayshaw","orcid":"https://orcid.org/0000-0002-3556-2674"},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"George Brayshaw","raw_affiliation_strings":["University of Bristol, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Bristol, United Kingdom","institution_ids":["https://openalex.org/I36234482"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008451819","display_name":"Benjamin Ward-Cherrier","orcid":"https://orcid.org/0000-0001-9614-7004"},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Benjamin Ward-Cherrier","raw_affiliation_strings":["University of Bristol, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Bristol, United Kingdom","institution_ids":["https://openalex.org/I36234482"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008994327","display_name":"Martin J. Pearson","orcid":"https://orcid.org/0000-0002-8642-4845"},"institutions":[{"id":"https://openalex.org/I178535277","display_name":"University of the West of England","ror":"https://ror.org/02nwg5t34","country_code":"GB","type":"education","lineage":["https://openalex.org/I178535277"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Martin Pearson","raw_affiliation_strings":["University of the West of England, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of the West of England, United Kingdom","institution_ids":["https://openalex.org/I178535277"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5029271011"],"corresponding_institution_ids":["https://openalex.org/I36234482"],"apc_list":null,"apc_paid":null,"fwci":1.3903,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.79414296,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"50","last_page":"57"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10914","display_name":"Tactile and Sensory Interactions","score":0.989300012588501,"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":0.989300012588501,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9857000112533569,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10581","display_name":"Neural dynamics and brain function","score":0.9848999977111816,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.9365495443344116},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7356557250022888},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6263257265090942},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5841894149780273},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4739508628845215},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4733567237854004},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3690599203109741},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.29594123363494873}],"concepts":[{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.9365495443344116},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7356557250022888},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6263257265090942},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5841894149780273},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4739508628845215},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4733567237854004},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3690599203109741},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.29594123363494873},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3517343.3517356","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3517343.3517356","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neuro-Inspired Computational Elements Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:research-information.bris.ac.uk:publications/66e7e5b3-fa69-4243-a68f-1fb8a5efc696","is_oa":false,"landing_page_url":"https://research-information.bris.ac.uk/en/publications/66e7e5b3-fa69-4243-a68f-1fb8a5efc696","pdf_url":null,"source":{"id":"https://openalex.org/S4306400895","display_name":"Bristol Research (University of Bristol)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I36234482","host_organization_name":"University of Bristol","host_organization_lineage":["https://openalex.org/I36234482"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1024319585","https://openalex.org/W1973597909","https://openalex.org/W2007917481","https://openalex.org/W2048132605","https://openalex.org/W2052624941","https://openalex.org/W2074936002","https://openalex.org/W2080317558","https://openalex.org/W2082669075","https://openalex.org/W2120350910","https://openalex.org/W2154553161","https://openalex.org/W2430725508","https://openalex.org/W2460702140","https://openalex.org/W2469278928","https://openalex.org/W2517662320","https://openalex.org/W2568537865","https://openalex.org/W2781493652","https://openalex.org/W2798878556","https://openalex.org/W2799701649","https://openalex.org/W2890084868","https://openalex.org/W2905755547","https://openalex.org/W2907516714","https://openalex.org/W2997938042","https://openalex.org/W3003876377","https://openalex.org/W3083311324","https://openalex.org/W3092770956","https://openalex.org/W3132968835","https://openalex.org/W3184299878"],"related_works":["https://openalex.org/W2986579802","https://openalex.org/W3108691306","https://openalex.org/W4389237622","https://openalex.org/W2166309310","https://openalex.org/W4385753159","https://openalex.org/W4387251107","https://openalex.org/W4214914769","https://openalex.org/W4200152843","https://openalex.org/W3033201189","https://openalex.org/W4317717548"],"abstract_inverted_index":{"The":[0],"development":[1],"of":[2,56,84,108,149],"upper":[3],"limb":[4],"prosthesis":[5],"that":[6,58,140],"are":[7],"able":[8],"to":[9,16,39,80],"relay":[10],"information":[11],"on":[12],"their":[13],"status":[14],"back":[15],"the":[17,37,106,147],"user":[18],"is":[19,144],"an":[20],"important":[21],"step":[22],"towards":[23],"making":[24],"this":[25,32,72],"assistive":[26],"technology":[27],"more":[28],"intuitive.":[29],"Applied":[30],"within":[31],"context,":[33],"neuromorphic":[34,62,89],"hardware":[35],"has":[36],"potential":[38],"reduce":[40],"processing":[41],"time":[42],"while":[43],"simultaneously":[44],"reducing":[45],"power":[46],"requirements.":[47],"Towards":[48],"this,":[49],"we":[50,74],"have":[51],"begun":[52],"a":[53,88,100,127,136],"systematic":[54],"evaluation":[55],"algorithms":[57,67],"best":[59],"leverage":[60],"rich":[61],"data,":[63],"and":[64],"how":[65],"such":[66],"may":[68],"be":[69],"implemented.":[70],"In":[71],"paper,":[73],"apply":[75],"conventional":[76],"machine":[77],"learning":[78,123],"techniques":[79],"temporal":[81,118,142],"domain":[82,103],"representations":[83],"textures":[85],"derived":[86],"from":[87,99],"tactile":[90],"sensor.":[91],"We":[92,112],"then":[93],"contrast":[94],"these":[95],"results":[96],"with":[97,120,126,132,135],"those":[98],"novel":[101],"spatio-temporal":[102],"classification":[104,148],"approach,":[105],"Hierarchy":[107],"Event-Based":[109],"Time-Surfaces":[110],"(HOTS).":[111],"achieved":[113],"higher":[114],"accuracies":[115],"when":[116,130],"classifying":[117,131],"data":[119],"our":[121],"supervised":[122],"methods":[124],"(91%":[125],"KNN)":[128],"than":[129],"HOTS":[133],"(76%":[134],"single":[137],"layer),":[138],"indicating":[139],"simple":[141],"encoding":[143],"sufficient":[145],"for":[146],"texture.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
