{"id":"https://openalex.org/W2984321420","doi":"https://doi.org/10.1109/globalsip45357.2019.8969215","title":"GMM-UBM based Person Verification using footfall signatures for Smart Home Applications","display_name":"GMM-UBM based Person Verification using footfall signatures for Smart Home Applications","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W2984321420","doi":"https://doi.org/10.1109/globalsip45357.2019.8969215","mag":"2984321420"},"language":"en","primary_location":{"id":"doi:10.1109/globalsip45357.2019.8969215","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip45357.2019.8969215","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","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":["Indian Institute of Technology Delhi,Electrical Engineering Department,New Delhi,India","Electrical Engineering Department, Indian Institute of Technology Delhi, New Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Delhi,Electrical Engineering Department,New Delhi,India","institution_ids":["https://openalex.org/I68891433"]},{"raw_affiliation_string":"Electrical Engineering Department, 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":[{"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":"Bodhibrata Mukhopadhyay","raw_affiliation_strings":["Indian Institute of Technology Delhi,Bharti School of Telecommunication Technology and Management,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":"Indian Institute of Technology Delhi,Bharti School of Telecommunication Technology and Management,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/A5086968106","display_name":"Manohar Parvatini","orcid":null},"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":"Manohar Parvatini","raw_affiliation_strings":["Indian Institute of Technology Delhi,Electrical Engineering Department,New Delhi,India","Electrical Engineering Department, Indian Institute of Technology Delhi, New Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Delhi,Electrical Engineering Department,New Delhi,India","institution_ids":["https://openalex.org/I68891433"]},{"raw_affiliation_string":"Electrical Engineering Department, Indian Institute of Technology Delhi, New Delhi, India","institution_ids":["https://openalex.org/I68891433"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072608867","display_name":"Subrat Kar","orcid":"https://orcid.org/0000-0002-2845-5598"},"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":"Subrat Kar","raw_affiliation_strings":["Indian Institute of Technology Delhi,Electrical Engineering Department,New Delhi,India","Electrical Engineering Department, Indian Institute of Technology Delhi, New Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Delhi,Electrical Engineering Department,New Delhi,India","institution_ids":["https://openalex.org/I68891433"]},{"raw_affiliation_string":"Electrical Engineering Department, Indian Institute of Technology Delhi, New Delhi, India","institution_ids":["https://openalex.org/I68891433"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I68891433"],"apc_list":null,"apc_paid":null,"fwci":0.3988,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.60514588,"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":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9998999834060669,"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":0.9998999834060669,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9961000084877014,"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":0.7631603479385376},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7597036361694336},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.7000159621238708},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.6783359050750732},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5438611507415771},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5435885787010193},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.47483736276626587},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4563768804073334},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4242570698261261},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.40499937534332275},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34644392132759094}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7631603479385376},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7597036361694336},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.7000159621238708},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.6783359050750732},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5438611507415771},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5435885787010193},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.47483736276626587},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4563768804073334},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4242570698261261},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.40499937534332275},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34644392132759094},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globalsip45357.2019.8969215","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip45357.2019.8969215","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1031589133","https://openalex.org/W1506806321","https://openalex.org/W1824983686","https://openalex.org/W1936725236","https://openalex.org/W1962124124","https://openalex.org/W2003187491","https://openalex.org/W2019915615","https://openalex.org/W2020929017","https://openalex.org/W2034349221","https://openalex.org/W2041823554","https://openalex.org/W2079026406","https://openalex.org/W2145886116","https://openalex.org/W2153635508","https://openalex.org/W2154506887","https://openalex.org/W2339109471","https://openalex.org/W2344822617","https://openalex.org/W2611466494","https://openalex.org/W2615196766","https://openalex.org/W2732126315","https://openalex.org/W2756053574","https://openalex.org/W2769345353","https://openalex.org/W2778644572","https://openalex.org/W2786185471","https://openalex.org/W2789283869","https://openalex.org/W2819289301","https://openalex.org/W2889839039","https://openalex.org/W2927117501","https://openalex.org/W2999783240","https://openalex.org/W4289494370","https://openalex.org/W6655382975","https://openalex.org/W6754267335"],"related_works":["https://openalex.org/W2076845124","https://openalex.org/W2183964146","https://openalex.org/W2379932303","https://openalex.org/W3147744369","https://openalex.org/W4241440711","https://openalex.org/W2062586268","https://openalex.org/W2019582947","https://openalex.org/W3212688212","https://openalex.org/W4300873085","https://openalex.org/W2964954556"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,32,90],"novel":[6],"person":[7,50],"verification":[8],"system":[9,53,77],"based":[10,49,122],"on":[11,56],"footfall":[12,25,48,62],"signatures":[13],"using":[14],"Gaussian":[15],"Mixture":[16],"Model-Universal":[17],"Background":[18],"Model":[19],"(GMM-UBM).":[20],"Ground":[21],"vibration":[22],"generated":[23],"by":[24,78],"of":[26,47,64,75,82,96,108,130],"an":[27,57,104],"individual":[28],"is":[29,54],"used":[30],"as":[31],"biometric":[33],"modality.":[34],"We":[35,88],"conduct":[36],"extensive":[37],"experiments":[38],"to":[39],"compare":[40],"the":[41,73,76,80,99,128,131],"proposed":[42,100,132],"technique":[43],"with":[44,98],"various":[45],"baselines":[46],"verification.":[51],"The":[52],"evaluated":[55],"indigenous":[58],"dataset":[59],"containing":[60],"7750":[61],"events":[63],"twenty":[65],"subjects.":[66],"Different":[67],"scenarios":[68],"are":[69],"created":[70],"for":[71],"analyzing":[72],"robustness":[74],"varying":[79],"number":[81],"registered":[83,86],"and":[84,102,110,117],"non":[85],"users.":[87],"obtained":[89],"Half":[91],"Total":[92],"Error":[93],"Rate":[94],"(HTER)":[95],"7%":[97],"model":[101],"achieved":[103],"overall":[105],"performance":[106],"gain":[107],"~46%":[109],"~33%":[111],"over":[112],"Support":[113],"Vector":[114],"Machine":[115],"(SVM)":[116],"Convolution":[118],"Neural":[119],"Network":[120],"(CNN)":[121],"techniques":[123],"respectively.":[124],"Experimental":[125],"results":[126],"validate":[127],"efficacy":[129],"algorithms.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}