{"id":"https://openalex.org/W4310880230","doi":"https://doi.org/10.1109/sensors52175.2022.9967263","title":"FootsNet: A Convolutional Neural Network for Footstep-based Person Identification","display_name":"FootsNet: A Convolutional Neural Network for Footstep-based Person Identification","publication_year":2022,"publication_date":"2022-10-30","ids":{"openalex":"https://openalex.org/W4310880230","doi":"https://doi.org/10.1109/sensors52175.2022.9967263"},"language":"en","primary_location":{"id":"doi:10.1109/sensors52175.2022.9967263","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sensors52175.2022.9967263","pdf_url":null,"source":{"id":"https://openalex.org/S4363604906","display_name":"2022 IEEE Sensors","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 Sensors","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/A5020555337","display_name":"Sahil Anchal","orcid":"https://orcid.org/0000-0003-0684-7619"},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sahil Anchal","raw_affiliation_strings":["Bharti School of Telecommunication Technology and Management Indian Institute of Technology Delhi,New Delhi,India","Bharti School of Telecommunication Technology and Management Indian Institute of Technology Delhi, New Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bharti School of Telecommunication Technology and Management Indian Institute of Technology Delhi,New Delhi,India","institution_ids":["https://openalex.org/I68891433"]},{"raw_affiliation_string":"Bharti School of Telecommunication Technology and Management Indian Institute of Technology Delhi, New Delhi, India","institution_ids":["https://openalex.org/I68891433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040465383","display_name":"Bodhibrata Mukhopadhyay","orcid":"https://orcid.org/0000-0003-1660-6544"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bodhibrata Mukhopadhyay","raw_affiliation_strings":["Electrical Engineering Department"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104090315","display_name":"Subrat Kar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Subrat Kar","raw_affiliation_strings":["Electrical Engineering Department"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2359,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.89680516,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9993000030517578,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9828000068664551,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9801999926567078,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8230391144752502},{"id":"https://openalex.org/keywords/retraining","display_name":"Retraining","score":0.733331561088562},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6926190853118896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6431388854980469},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.6341017484664917},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6311290264129639},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5622128844261169},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5379974842071533},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5342872142791748},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.48945489525794983},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4612537622451782},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4539378583431244},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43229228258132935},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37433362007141113}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8230391144752502},{"id":"https://openalex.org/C2778712577","wikidata":"https://www.wikidata.org/wiki/Q3505966","display_name":"Retraining","level":2,"score":0.733331561088562},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6926190853118896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6431388854980469},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.6341017484664917},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6311290264129639},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5622128844261169},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5379974842071533},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5342872142791748},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.48945489525794983},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4612537622451782},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4539378583431244},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43229228258132935},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37433362007141113},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C155202549","wikidata":"https://www.wikidata.org/wiki/Q178803","display_name":"International trade","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sensors52175.2022.9967263","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sensors52175.2022.9967263","pdf_url":null,"source":{"id":"https://openalex.org/S4363604906","display_name":"2022 IEEE Sensors","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 Sensors","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1506806321","https://openalex.org/W1522301498","https://openalex.org/W1836465849","https://openalex.org/W2068106986","https://openalex.org/W2165698076","https://openalex.org/W2187089797","https://openalex.org/W2600685225","https://openalex.org/W2613548699","https://openalex.org/W2743106775","https://openalex.org/W2756053574","https://openalex.org/W2786185471","https://openalex.org/W2792481260","https://openalex.org/W2899771611","https://openalex.org/W2927117501","https://openalex.org/W2963741406","https://openalex.org/W3084419470","https://openalex.org/W3136905523","https://openalex.org/W3147071923","https://openalex.org/W6631190155","https://openalex.org/W6756040250","https://openalex.org/W6758126075"],"related_works":["https://openalex.org/W2368605798","https://openalex.org/W2348524959","https://openalex.org/W3183901164","https://openalex.org/W3135818718","https://openalex.org/W4290188444","https://openalex.org/W3176438653","https://openalex.org/W3167935049","https://openalex.org/W3003905048","https://openalex.org/W2253429366","https://openalex.org/W3127975138"],"abstract_inverted_index":{"In":[0],"recent":[1],"times":[2],"seismic":[3],"signal-based":[4],"person":[5,20],"identification":[6,21],"has":[7,72],"gained":[8],"significant":[9],"popularity":[10],"in":[11,35,39],"the":[12,40,45,78,89,94,121,126,137,144],"field":[13],"of":[14,19,51,105,123,139,143],"biometrics.":[15],"The":[16],"existing":[17,127],"techniques":[18,32],"are":[22,33],"extremely":[23],"effective":[24],"and":[25,56,119],"achieve":[26],"high":[27],"prediction":[28],"accuracy.":[29],"However,":[30],"these":[31],"inefficient":[34],"accommodating":[36],"new":[37,98],"users":[38],"system.":[41],"It":[42],"requires":[43],"retraining":[44],"model":[46,79,90],"with":[47,84,125],"a":[48,65,73,102],"large":[49],"amount":[50],"data,":[52],"which":[53,100],"is":[54,80,91],"time-consuming":[55],"labour-intensive.":[57],"To":[58],"address":[59],"this":[60],"issue,":[61],"we":[62],"proposed":[63],"FootsNet,":[64],"transfer":[66],"learning":[67],"convolutional":[68],"neural":[69],"network.":[70],"FootsNet":[71,124],"two-stage":[74],"training":[75],"process;":[76],"first,":[77],"trained":[81],"using":[82,93,112],"classes":[83,96],"many":[85],"labelled":[86,106,140],"samples.":[87,107],"Then":[88],"fine-tuned":[92],"novel":[95,145],"(representing":[97],"users),":[99],"have":[101],"limited":[103],"number":[104,138],"We":[108,130],"perform":[109],"extensive":[110],"experiments":[111],"datasets":[113],"collected":[114],"from":[115],"15":[116],"human":[117],"subjects":[118],"compare":[120],"performance":[122,134],"state-of-the-art":[128],"techniques.":[129],"also":[131],"study":[132],"FootsNet's":[133],"by":[135],"varying":[136],"footstep":[141],"samples":[142],"classes.":[146]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}