{"id":"https://openalex.org/W4317242538","doi":"https://doi.org/10.1109/robio55434.2022.10011703","title":"Real-time processing of force sensor signals based on LSTM-RNN","display_name":"Real-time processing of force sensor signals based on LSTM-RNN","publication_year":2022,"publication_date":"2022-12-05","ids":{"openalex":"https://openalex.org/W4317242538","doi":"https://doi.org/10.1109/robio55434.2022.10011703"},"language":"en","primary_location":{"id":"doi:10.1109/robio55434.2022.10011703","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/robio55434.2022.10011703","pdf_url":null,"source":{"id":"https://openalex.org/S4363607789","display_name":"2022 IEEE International Conference on Robotics and Biomimetics (ROBIO)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Robotics and Biomimetics (ROBIO)","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/A5100393711","display_name":"Qiao Liu","orcid":"https://orcid.org/0000-0002-9781-3360"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiao Liu","raw_affiliation_strings":["College of Computer Science, Nankai University,Tianjin,P. R. China,300350"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Nankai University,Tianjin,P. R. China,300350","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049382489","display_name":"Yu Dai","orcid":"https://orcid.org/0000-0002-7432-226X"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Dai","raw_affiliation_strings":["College of Artificial Intelligence, Nankai University,Tianjin,P. R. China,300350"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Nankai University,Tianjin,P. R. China,300350","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112365418","display_name":"Mengwen Li","orcid":"https://orcid.org/0000-0002-6841-3843"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengwen Li","raw_affiliation_strings":["College of Artificial Intelligence, Nankai University,Tianjin,P. R. China,300350"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Nankai University,Tianjin,P. R. China,300350","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038925278","display_name":"Bin Yao","orcid":"https://orcid.org/0000-0001-9133-6172"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Yao","raw_affiliation_strings":["College of Artificial Intelligence, Nankai University,Tianjin,P. R. China,300350"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Nankai University,Tianjin,P. R. China,300350","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066794811","display_name":"Yunwei Xin","orcid":null},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunwei Xin","raw_affiliation_strings":["College of Computer Science, Nankai University,Tianjin,P. R. China,300350"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Nankai University,Tianjin,P. R. China,300350","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053022011","display_name":"Jianxun Zhang","orcid":"https://orcid.org/0000-0002-6678-8297"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianxun Zhang","raw_affiliation_strings":["College of Artificial Intelligence, Nankai University,Tianjin,P. R. China,300350"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Nankai University,Tianjin,P. R. China,300350","institution_ids":["https://openalex.org/I205237279"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100393711"],"corresponding_institution_ids":["https://openalex.org/I205237279"],"apc_list":null,"apc_paid":null,"fwci":1.4156,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.83356926,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"167","last_page":"171"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10876","display_name":"Fault Detection and Control Systems","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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":0.9839000105857849,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.8364099264144897},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7454452514648438},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.6456441879272461},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5722580552101135},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5025606155395508},{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.4785935580730438},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4658523499965668},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.4362497925758362},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.41005939245224},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2752946615219116},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2613821029663086},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.11577790975570679}],"concepts":[{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.8364099264144897},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7454452514648438},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.6456441879272461},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5722580552101135},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5025606155395508},{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.4785935580730438},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4658523499965668},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4362497925758362},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.41005939245224},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2752946615219116},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2613821029663086},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.11577790975570679},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"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/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robio55434.2022.10011703","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/robio55434.2022.10011703","pdf_url":null,"source":{"id":"https://openalex.org/S4363607789","display_name":"2022 IEEE International Conference on Robotics and Biomimetics (ROBIO)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Robotics and Biomimetics (ROBIO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5538655163","display_name":null,"funder_award_id":"51875394","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1968519231","https://openalex.org/W2007221293","https://openalex.org/W2039399126","https://openalex.org/W2048115099","https://openalex.org/W2064675550","https://openalex.org/W2104750904","https://openalex.org/W2113131123","https://openalex.org/W2151899489","https://openalex.org/W2154137718","https://openalex.org/W2165163987","https://openalex.org/W2206298669","https://openalex.org/W2587019100","https://openalex.org/W2613328025","https://openalex.org/W2820191439","https://openalex.org/W2894821558","https://openalex.org/W2903661959","https://openalex.org/W2963122061","https://openalex.org/W3115488682","https://openalex.org/W6684347162","https://openalex.org/W6733081445"],"related_works":["https://openalex.org/W3014107421","https://openalex.org/W2363056446","https://openalex.org/W2081563414","https://openalex.org/W2359718298","https://openalex.org/W2377062149","https://openalex.org/W2380939102","https://openalex.org/W154554909","https://openalex.org/W2416682162","https://openalex.org/W2905220255","https://openalex.org/W2361199810"],"abstract_inverted_index":{"Multi-dimensional":[0],"force":[1,25,49,69,79,92,124],"sensors":[2],"are":[3,103],"of":[4,11,22,47,97,110],"great":[5],"significance":[6],"to":[7,16,59,76],"improve":[8],"the":[9,18,23,78,87,91,95,117],"perception":[10],"robots.":[12],"It's":[13],"very":[14,104],"important":[15],"remove":[17],"drift":[19,64],"and":[20,65,82,106],"noise":[21,66],"multi-dimensional":[24,48,68,123],"sensor":[26,70,80,125],"signal":[27,45,81,112],"caused":[28],"by":[29,86,101],"environmental":[30],"changes.":[31],"Recurrent":[32],"Neural":[33],"Network":[34],"based":[35],"on":[36],"Long-Short":[37],"Term":[38],"Memory":[39],"(LSTM-RNN)":[40],"is":[41,57,74,84],"proposed":[42],"for":[43],"real-time":[44],"processing":[46],"sensors.":[50],"Firstly,":[51],"Adaptive":[52],"Empirical":[53],"Mode":[54],"Decomposition":[55],"(AEMD)":[56],"verified":[58],"be":[60],"effective":[61],"in":[62,127],"removing":[63],"from":[67],"signals.":[71],"Then,":[72],"AEMD":[73],"utilized":[75],"process":[77,122],"LSTM-RNN":[83,102,119],"trained":[85,118],"processed":[88,100],"signal.":[89],"In":[90],"test":[93],"experiment,":[94],"errors":[96],"different":[98],"signals":[99,126],"small":[105],"smaller":[107],"than":[108],"those":[109],"RNN":[111],"processing,":[113],"which":[114],"proves":[115],"that":[116],"can":[120],"effectively":[121],"real":[128],"time.":[129]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}