{"id":"https://openalex.org/W4285287351","doi":"https://doi.org/10.1109/tci.2022.3177361","title":"Multi-Frame Constrained Block Sparse Bayesian Learning for Flexible Tactile Sensing Using Electrical Impedance Tomography","display_name":"Multi-Frame Constrained Block Sparse Bayesian Learning for Flexible Tactile Sensing Using Electrical Impedance Tomography","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4285287351","doi":"https://doi.org/10.1109/tci.2022.3177361"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tci.2022.3177361","pdf_url":null,"source":{"id":"https://openalex.org/S4210233665","display_name":"IEEE Transactions on Computational Imaging","issn_l":"2333-9403","issn":["2333-9403","2573-0436"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/preprint/Multi-frame_constrained_block_sparse_Bayesian_learning_for_flexible_tactile_sensing_using_electrical_impedance_tomography/16910971/1/files/31278772.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033545990","display_name":"Gang Ma","orcid":"https://orcid.org/0000-0001-5822-7556"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Ma","raw_affiliation_strings":["University of Science and Technology of China, 12652 Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, 12652 Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059507014","display_name":"Haofeng Chen","orcid":"https://orcid.org/0000-0003-4965-2301"},"institutions":[{"id":"https://openalex.org/I2802624667","display_name":"Hefei Institutes of Physical Science","ror":"https://ror.org/046n57345","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I2802624667"]},{"id":"https://openalex.org/I4210099079","display_name":"Institute of Intelligent Machines","ror":"https://ror.org/00w0qep84","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I2802624667","https://openalex.org/I4210099079"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haofeng Chen","raw_affiliation_strings":["Institute of Intelligent Machines, Chinese Academy of Sciences Hefei Institutes of Physical Science, 53040 Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"Institute of Intelligent Machines, Chinese Academy of Sciences Hefei Institutes of Physical Science, 53040 Hefei, Anhui, China","institution_ids":["https://openalex.org/I2802624667","https://openalex.org/I4210099079","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101959606","display_name":"Peng Wang","orcid":"https://orcid.org/0000-0002-3432-8958"},"institutions":[{"id":"https://openalex.org/I2802624667","display_name":"Hefei Institutes of Physical Science","ror":"https://ror.org/046n57345","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I2802624667"]},{"id":"https://openalex.org/I4210099079","display_name":"Institute of Intelligent Machines","ror":"https://ror.org/00w0qep84","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I2802624667","https://openalex.org/I4210099079"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Wang","raw_affiliation_strings":["Institute of Intelligent Machinese, Chinese Academy of Sciences Hefei Institutes of Physical Science, 53040 Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"Institute of Intelligent Machinese, Chinese Academy of Sciences Hefei Institutes of Physical Science, 53040 Hefei, Anhui, China","institution_ids":["https://openalex.org/I2802624667","https://openalex.org/I4210099079","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100351295","display_name":"Xiaojie Wang","orcid":"https://orcid.org/0000-0002-4740-7882"},"institutions":[{"id":"https://openalex.org/I2802624667","display_name":"Hefei Institutes of Physical Science","ror":"https://ror.org/046n57345","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I2802624667"]},{"id":"https://openalex.org/I4210099079","display_name":"Institute of Intelligent Machines","ror":"https://ror.org/00w0qep84","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I2802624667","https://openalex.org/I4210099079"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojie Wang","raw_affiliation_strings":["Institute of Intelligent Machines, Chinese Academy of Sciences Hefei Institutes of Physical Science, 53040 Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"Institute of Intelligent Machines, Chinese Academy of Sciences Hefei Institutes of Physical Science, 53040 Hefei, Anhui, China","institution_ids":["https://openalex.org/I2802624667","https://openalex.org/I4210099079","https://openalex.org/I19820366"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.208,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.593882,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":92},"biblio":{"volume":"8","issue":null,"first_page":"438","last_page":"448"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11778","display_name":"Electrical and Bioimpedance Tomography","score":0.9999,"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"}},"topics":[{"id":"https://openalex.org/T11778","display_name":"Electrical and Bioimpedance Tomography","score":0.9999,"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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9672,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T12537","display_name":"Flow Measurement and Analysis","score":0.966,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/electrical-impedance-tomography","display_name":"Electrical Impedance Tomography","score":0.7120433},{"id":"https://openalex.org/keywords/tactile-sensor","display_name":"Tactile sensor","score":0.41392937}],"concepts":[{"id":"https://openalex.org/C155175808","wikidata":"https://www.wikidata.org/wiki/Q1326472","display_name":"Electrical impedance tomography","level":3,"score":0.7120433},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6699975},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6287736},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6160799},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5825743},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.58091915},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.54505754},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5446569},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.4579498},{"id":"https://openalex.org/C17829176","wikidata":"https://www.wikidata.org/wiki/Q179043","display_name":"Electrical impedance","level":2,"score":0.43212026},{"id":"https://openalex.org/C46722567","wikidata":"https://www.wikidata.org/wiki/Q7674139","display_name":"Tactile sensor","level":3,"score":0.41392937},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.37814844},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19822657},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15037832},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14434332},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tci.2022.3177361","pdf_url":null,"source":{"id":"https://openalex.org/S4210233665","display_name":"IEEE Transactions on Computational Imaging","issn_l":"2333-9403","issn":["2333-9403","2573-0436"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://figshare.com/articles/preprint/Multi-frame_constrained_block_sparse_Bayesian_learning_for_flexible_tactile_sensing_using_electrical_impedance_tomography/16910971","pdf_url":"https://figshare.com/articles/preprint/Multi-frame_constrained_block_sparse_Bayesian_learning_for_flexible_tactile_sensing_using_electrical_impedance_tomography/16910971/1/files/31278772.pdf","source":{"id":"https://openalex.org/S4306400572","display_name":"OPAL (Open@LaTrobe) (La Trobe University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I196829312","host_organization_name":"La Trobe University","host_organization_lineage":["https://openalex.org/I196829312"],"host_organization_lineage_names":["La Trobe University"],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://figshare.com/articles/preprint/Multi-frame_constrained_block_sparse_Bayesian_learning_for_flexible_tactile_sensing_using_electrical_impedance_tomography/16910971","pdf_url":"https://figshare.com/articles/preprint/Multi-frame_constrained_block_sparse_Bayesian_learning_for_flexible_tactile_sensing_using_electrical_impedance_tomography/16910971/1/files/31278772.pdf","source":{"id":"https://openalex.org/S4306400572","display_name":"OPAL (Open@LaTrobe) (La Trobe University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I196829312","host_organization_name":"La Trobe University","host_organization_lineage":["https://openalex.org/I196829312"],"host_organization_lineage_names":["La Trobe University"],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","display_name":"No poverty","score":0.72}],"grants":[{"funder":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences","award_id":"HZ2021018"}],"datasets":[],"versions":[],"referenced_works_count":33,"referenced_works":["https://openalex.org/W2041556066","https://openalex.org/W2052625285","https://openalex.org/W2054657344","https://openalex.org/W2111414067","https://openalex.org/W2112890043","https://openalex.org/W2113761410","https://openalex.org/W2128648870","https://openalex.org/W2146000945","https://openalex.org/W2148154358","https://openalex.org/W2150609833","https://openalex.org/W2156062145","https://openalex.org/W2156587627","https://openalex.org/W2169326247","https://openalex.org/W2795198316","https://openalex.org/W2826835782","https://openalex.org/W2899458439","https://openalex.org/W2909146010","https://openalex.org/W2910112947","https://openalex.org/W2913384339","https://openalex.org/W2963231761","https://openalex.org/W2989484526","https://openalex.org/W2990044891","https://openalex.org/W3005368325","https://openalex.org/W3008313959","https://openalex.org/W3023842556","https://openalex.org/W3037817844","https://openalex.org/W3045332022","https://openalex.org/W3046520725","https://openalex.org/W3090345340","https://openalex.org/W3100703164","https://openalex.org/W3136239642","https://openalex.org/W3175341241","https://openalex.org/W3184565761"],"related_works":["https://openalex.org/W4376629886","https://openalex.org/W3211685995","https://openalex.org/W3160616384","https://openalex.org/W2905540725","https://openalex.org/W2902419700","https://openalex.org/W2752613076","https://openalex.org/W2537891456","https://openalex.org/W2532315310","https://openalex.org/W2101428392","https://openalex.org/W2000128178"],"abstract_inverted_index":{"In":[0],"this":[1,80,104],"paper,":[2],"we":[3,60,111],"presented":[4],"a":[5],"multi-frame":[6],"constrained":[7],"block":[8],"sparse":[9],"Bayesian":[10,52],"learning":[11],"(MFC-BSBL)":[12],"reconstruction":[13,21],"algorithm":[14,133],"to":[15,37,67,106],"tackle":[16],"the":[17,39,51,57,85,96,101,117,126,131],"challenge":[18],"of":[19,34,46,103],"poor-quality":[20],"images":[22],"in":[23,95],"electrical":[24],"impedance":[25,47],"tomography":[26],"(EIT)":[27],"for":[28,64],"tactile":[29,109,119,127],"sensing.":[30],"The":[31,75],"fundamental":[32],"idea":[33],"MFC-BSBL":[35,132],"is":[36],"explore":[38],"sparsity,":[40],"intra-frame":[41],"correlation,":[42],"and":[43,72,88,93,139,143],"inter-frame":[44],"correlation":[45],"distributions":[48],"by":[49,90],"extending":[50],"inference":[53],"framework.":[54],"To":[55,99],"verify":[56],"proposed":[58],"algorithm,":[59],"conducted":[61,112],"numerical":[62],"simulations":[63],"different":[65],"cases":[66],"identify":[68],"one,":[69],"multiple,":[70],"round,":[71],"square":[73],"targets.":[74],"simulation":[76],"results":[77],"demonstrated":[78],"that":[79],"method":[81],"can":[82,134],"effectively":[83],"detect":[84],"target":[86],"positions":[87],"shapes":[89],"reducing":[91],"artifacts":[92,142],"noise":[94],"reconstructed":[97],"images.":[98],"demonstrate":[100],"application":[102],"approach":[105],"real":[107],"EIT-based":[108],"sensing,":[110],"real-contact":[113],"detection":[114,138],"experiments":[115],"using":[116,130],"EIT":[118],"sensor":[120,128],"system.":[121],"Compared":[122],"with":[123],"traditional":[124],"methods,":[125],"system":[129],"achieve":[135],"accurate":[136],"contact":[137],"significantly":[140],"reduce":[141],"noise.":[144]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4285287351","counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":8}],"updated_date":"2025-01-09T10:52:18.539668","created_date":"2022-07-14"}