{"id":"https://openalex.org/W2992749637","doi":"https://doi.org/10.1109/icawst.2019.8923255","title":"Using Smart Insoles and RGB Camera for Identifying Stationary Human Targets","display_name":"Using Smart Insoles and RGB Camera for Identifying Stationary Human Targets","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2992749637","doi":"https://doi.org/10.1109/icawst.2019.8923255","mag":"2992749637"},"language":"en","primary_location":{"id":"doi:10.1109/icawst.2019.8923255","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icawst.2019.8923255","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST)","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/A5082670366","display_name":"Sevendi Eldrige Rifki Poluan","orcid":"https://orcid.org/0000-0002-1047-554X"},"institutions":[{"id":"https://openalex.org/I99908691","display_name":"Yuan Ze University","ror":"https://ror.org/01fv1ds98","country_code":"TW","type":"education","lineage":["https://openalex.org/I99908691"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Sevendi Eldrige Rifki Poluan","raw_affiliation_strings":["Dept. of Computer Science and Engineering, Yuan Ze University, Taoyuan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Engineering, Yuan Ze University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I99908691"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016833585","display_name":"Yan-Ann Chen","orcid":"https://orcid.org/0000-0002-3348-6022"},"institutions":[{"id":"https://openalex.org/I99908691","display_name":"Yuan Ze University","ror":"https://ror.org/01fv1ds98","country_code":"TW","type":"education","lineage":["https://openalex.org/I99908691"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yan-Ann Chen","raw_affiliation_strings":["Dept. of Computer Science and Engineering, Yuan Ze University, Taoyuan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Engineering, Yuan Ze University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I99908691"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5082670366"],"corresponding_institution_ids":["https://openalex.org/I99908691"],"apc_list":null,"apc_paid":null,"fwci":0.1746,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.54292666,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9988999962806702,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9987000226974487,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8054025769233704},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6063700914382935},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5799875855445862},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.5744770765304565},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.5720965266227722},{"id":"https://openalex.org/keywords/viewpoints","display_name":"Viewpoints","score":0.5690062046051025},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5593657493591309},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5084108710289001},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.42849424481391907},{"id":"https://openalex.org/keywords/headset","display_name":"Headset","score":0.4136626720428467},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35335826873779297},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.10509049892425537},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.10235181450843811}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8054025769233704},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6063700914382935},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5799875855445862},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.5744770765304565},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.5720965266227722},{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.5690062046051025},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5593657493591309},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5084108710289001},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.42849424481391907},{"id":"https://openalex.org/C2780657452","wikidata":"https://www.wikidata.org/wiki/Q1193170","display_name":"Headset","level":2,"score":0.4136626720428467},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35335826873779297},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.10509049892425537},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.10235181450843811},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icawst.2019.8923255","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icawst.2019.8923255","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1988200254","https://openalex.org/W2056898157","https://openalex.org/W2378617738","https://openalex.org/W2398098909","https://openalex.org/W2585847163","https://openalex.org/W2609527102","https://openalex.org/W2618277480","https://openalex.org/W2783164106","https://openalex.org/W2785052465","https://openalex.org/W2791411444","https://openalex.org/W2793018305","https://openalex.org/W2962730651","https://openalex.org/W3104848468","https://openalex.org/W4243442310","https://openalex.org/W6748312245","https://openalex.org/W6756633688"],"related_works":["https://openalex.org/W2385368906","https://openalex.org/W2549567669","https://openalex.org/W2902924992","https://openalex.org/W2626642044","https://openalex.org/W2323345712","https://openalex.org/W2619807045","https://openalex.org/W2388758053","https://openalex.org/W104838418","https://openalex.org/W1532889363","https://openalex.org/W93537448"],"abstract_inverted_index":{"Identity":[0],"recognition":[1],"is":[2],"an":[3],"important":[4],"component":[5],"for":[6,85],"creating":[7],"a":[8,83],"personalized":[9],"service":[10],"in":[11],"loT":[12],"applications.":[13],"Current":[14],"prevailing":[15],"technologies":[16],"have":[17],"to":[18,81,97,119],"pre-train":[19],"with":[20,87],"large":[21],"datasets":[22],"or":[23],"need":[24],"the":[25,43,62,88,99,106,115,120],"privacy-sensitive":[26],"information":[27],"from":[28,105],"users":[29],"such":[30],"as":[31],"facial":[32],"features,":[33,35],"voice":[34],"and":[36,78],"fingerprint.":[37],"In":[38,61],"this":[39],"work,":[40],"we":[41,112],"address":[42],"problem":[44],"of":[45,101,108],"identifying":[46],"stationary":[47,89],"humans":[48],"(less":[49],"movements)":[50],"targets,":[51],"which":[52],"cannot":[53],"be":[54],"solved":[55],"by":[56],"other":[57],"motion-based":[58],"fusion":[59],"mechanisms.":[60],"future":[63],"IoT":[64],"world,":[65],"many":[66],"wearable":[67],"sensors":[68],"on":[69],"human":[70],"beings":[71],"are":[72,136],"foreseeable.":[73],"We":[74,92],"exploit":[75],"RGB":[76],"camera":[77],"smart":[79],"insoles":[80],"design":[82],"system":[84],"dealing":[86],"identity":[90,116],"recognition.":[91],"utilize":[93],"machine":[94],"learning":[95],"algorithms":[96],"explore":[98],"correlation":[100],"lower":[102],"body":[103],"postures":[104,135],"viewpoints":[107],"heterogeneous":[109],"sensors.":[110],"Then":[111],"can":[113,129],"make":[114],"matching":[117],"according":[118],"trained":[121],"models.":[122],"Evaluation":[123],"results":[124],"show":[125],"that":[126],"our":[127],"mechanism":[128],"achieve":[130],"good":[131],"performance":[132],"if":[133],"users'":[134],"differentiable.":[137]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}