{"id":"https://openalex.org/W3121088917","doi":"https://doi.org/10.1109/ijcb48548.2020.9304913","title":"Touch Behavior Based Age Estimation Toward Enhancing Child Safety","display_name":"Touch Behavior Based Age Estimation Toward Enhancing Child Safety","publication_year":2020,"publication_date":"2020-09-28","ids":{"openalex":"https://openalex.org/W3121088917","doi":"https://doi.org/10.1109/ijcb48548.2020.9304913","mag":"3121088917"},"language":"en","primary_location":{"id":"doi:10.1109/ijcb48548.2020.9304913","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcb48548.2020.9304913","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Joint Conference on Biometrics (IJCB)","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/A5069051415","display_name":"Md Shafaeat Hossain","orcid":"https://orcid.org/0000-0001-8009-370X"},"institutions":[{"id":"https://openalex.org/I35462925","display_name":"Southern Connecticut State University","ror":"https://ror.org/00ramkd50","country_code":"US","type":"education","lineage":["https://openalex.org/I35462925","https://openalex.org/I4210132746"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Md Shafaeat Hossain","raw_affiliation_strings":["Southern Connecticut State University, New Haven, CT"],"affiliations":[{"raw_affiliation_string":"Southern Connecticut State University, New Haven, CT","institution_ids":["https://openalex.org/I35462925"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043501428","display_name":"Carl Haberfeld","orcid":null},"institutions":[{"id":"https://openalex.org/I35462925","display_name":"Southern Connecticut State University","ror":"https://ror.org/00ramkd50","country_code":"US","type":"education","lineage":["https://openalex.org/I35462925","https://openalex.org/I4210132746"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carl Haberfeld","raw_affiliation_strings":["Southern Connecticut State University, New Haven, CT"],"affiliations":[{"raw_affiliation_string":"Southern Connecticut State University, New Haven, CT","institution_ids":["https://openalex.org/I35462925"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5069051415"],"corresponding_institution_ids":["https://openalex.org/I35462925"],"apc_list":null,"apc_paid":null,"fwci":1.6014,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.88415566,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11800","display_name":"User Authentication and Security Systems","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11800","display_name":"User Authentication and Security Systems","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9969000220298767,"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/T10789","display_name":"Interactive and Immersive Displays","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/safer","display_name":"SAFER","score":0.686677098274231},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6662749648094177},{"id":"https://openalex.org/keywords/android","display_name":"Android (operating system)","score":0.6377570629119873},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.6268291473388672},{"id":"https://openalex.org/keywords/mean-absolute-error","display_name":"Mean absolute error","score":0.511879563331604},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.46734267473220825},{"id":"https://openalex.org/keywords/tapping","display_name":"Tapping","score":0.45175400376319885},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.4308941662311554},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.41243264079093933},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3972739577293396},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3875328004360199},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.32641464471817017},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2775142788887024},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.23883038759231567},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18460941314697266},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.17314055562019348},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17279282212257385},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.09882396459579468},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09649109840393066}],"concepts":[{"id":"https://openalex.org/C2776654903","wikidata":"https://www.wikidata.org/wiki/Q2601463","display_name":"SAFER","level":2,"score":0.686677098274231},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6662749648094177},{"id":"https://openalex.org/C557433098","wikidata":"https://www.wikidata.org/wiki/Q94","display_name":"Android (operating system)","level":2,"score":0.6377570629119873},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.6268291473388672},{"id":"https://openalex.org/C188154048","wikidata":"https://www.wikidata.org/wiki/Q6803609","display_name":"Mean absolute error","level":3,"score":0.511879563331604},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.46734267473220825},{"id":"https://openalex.org/C2777644245","wikidata":"https://www.wikidata.org/wiki/Q203598","display_name":"Tapping","level":2,"score":0.45175400376319885},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.4308941662311554},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.41243264079093933},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3972739577293396},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3875328004360199},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.32641464471817017},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2775142788887024},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.23883038759231567},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18460941314697266},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.17314055562019348},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17279282212257385},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.09882396459579468},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09649109840393066},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcb48548.2020.9304913","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcb48548.2020.9304913","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Joint Conference on Biometrics (IJCB)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W15424240","https://openalex.org/W1231215209","https://openalex.org/W1857382374","https://openalex.org/W1965447681","https://openalex.org/W1971970117","https://openalex.org/W1976081290","https://openalex.org/W1988835709","https://openalex.org/W1996601463","https://openalex.org/W2008311091","https://openalex.org/W2017658349","https://openalex.org/W2017794574","https://openalex.org/W2064376060","https://openalex.org/W2094924289","https://openalex.org/W2163582782","https://openalex.org/W2176615452","https://openalex.org/W2184366681","https://openalex.org/W2216189124","https://openalex.org/W2304304210","https://openalex.org/W2342792048","https://openalex.org/W2345947591","https://openalex.org/W2407161528","https://openalex.org/W2513159813","https://openalex.org/W2550797816","https://openalex.org/W2555047368","https://openalex.org/W2576151269","https://openalex.org/W2589073649","https://openalex.org/W2598391117","https://openalex.org/W2736191430","https://openalex.org/W2752013825","https://openalex.org/W2766315610","https://openalex.org/W2783973457","https://openalex.org/W2787397538","https://openalex.org/W2965587068","https://openalex.org/W4285719527","https://openalex.org/W6600599123","https://openalex.org/W6654932366","https://openalex.org/W6686458243","https://openalex.org/W6688487617","https://openalex.org/W6732169597","https://openalex.org/W6735139144","https://openalex.org/W6741853903"],"related_works":["https://openalex.org/W2364300004","https://openalex.org/W3005911673","https://openalex.org/W2953205341","https://openalex.org/W3013010406","https://openalex.org/W2389244471","https://openalex.org/W2057192107","https://openalex.org/W235065745","https://openalex.org/W2029935773","https://openalex.org/W2787754950","https://openalex.org/W2354302879"],"abstract_inverted_index":{"Adult":[0],"content":[1,48],"on":[2],"the":[3,33,52,66,118,140,159],"Internet":[4,47],"may":[5,19],"be":[6,20,26],"accessed":[7],"by":[8,41],"children":[9],"with":[10,46,93],"only":[11],"a":[12,22,37,57,97,100,104,179,186],"few":[13],"keystrokes.":[14],"While":[15],"separate":[16],"child-safe":[17,43,180],"accounts":[18],"established,":[21],"better":[23],"approach":[24],"could":[25],"incorporating":[27],"automatic":[28],"age":[29,67,175],"estimation":[30,68],"capability":[31],"into":[32],"browser.":[34],"We":[35,78,91],"envision":[36],"safer":[38],"browsing":[39],"experience":[40],"implementing":[42],"browsers":[44],"combined":[45],"rating":[49],"similar":[50],"to":[51,64,70,115,128],"film":[53],"industry.":[54],"Before":[55],"such":[56],"browser":[58],"is":[59,182,185],"created":[60,79],"it":[61],"was":[62],"necessary":[63],"test":[65,131],"module":[69],"see":[71],"whether":[72],"acceptable":[73],"error":[74],"rates":[75],"are":[76],"possible.":[77],"an":[80,94],"Android":[81],"application":[82],"for":[83,137,151,156,167],"collecting":[84],"biometric":[85],"touch":[86],"data,":[87,120],"specifically":[88],"tapping":[89,119],"data.":[90],"arranged":[92],"elementary":[95],"school,":[96,99,102],"middle":[98],"high":[101],"and":[103,106,130,134,147,153,164,169,177,184],"university":[105],"collected":[107],"samples":[108],"from":[109],"262":[110],"user":[111],"sessions":[112],"(ages":[113],"5":[114],"61).":[116],"From":[117],"feature":[121],"vectors":[122],"were":[123,126],"constructed,":[124],"which":[125],"used":[127],"train":[129],"14":[132],"regressors":[133],"classifiers.":[135],"Results":[136,155],"regression":[138],"show":[139,158],"best":[141,160],"mean":[142],"absolute":[143],"errors":[144],"of":[145,162],"3.451":[146],"3.027":[148],"years,":[149],"respectively,":[150,166],"phones":[152,168],"tablets.":[154,170],"classification":[157],"accuracies":[161],"73.63%":[163],"82.28%,":[165],"These":[171],"results":[172],"demonstrate":[173],"that":[174],"estimation,":[176],"hence,":[178],"browser,":[181],"feasible,":[183],"worthwhile":[187],"objective.":[188]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
