{"id":"https://openalex.org/W4402754099","doi":"https://doi.org/10.1109/mwscas60917.2024.10658691","title":"A Resource-efficient Lip Detector Based on Hybrid Feature Criteria and Predictive Bounding Box Tracking for Mobile HCI Applications","display_name":"A Resource-efficient Lip Detector Based on Hybrid Feature Criteria and Predictive Bounding Box Tracking for Mobile HCI Applications","publication_year":2024,"publication_date":"2024-08-11","ids":{"openalex":"https://openalex.org/W4402754099","doi":"https://doi.org/10.1109/mwscas60917.2024.10658691"},"language":"en","primary_location":{"id":"doi:10.1109/mwscas60917.2024.10658691","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/mwscas60917.2024.10658691","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 67th International Midwest Symposium on Circuits and Systems (MWSCAS)","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/A5002535583","display_name":"Kaiji Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kaiji Liu","raw_affiliation_strings":["School of Integrated Circuits, Tsinghua University,Beijing,China"],"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Tsinghua University,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100432251","display_name":"Siqi Zhang","orcid":"https://orcid.org/0000-0001-8533-2749"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siqi Zhang","raw_affiliation_strings":["School of Integrated Circuits, Tsinghua University,Beijing,China"],"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Tsinghua University,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077204118","display_name":"Syed Muhammad Abubakar","orcid":"https://orcid.org/0000-0003-2650-6336"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Syed Muhammad Abubakar","raw_affiliation_strings":["School of Integrated Circuits, Tsinghua University,Beijing,China"],"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Tsinghua University,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101916248","display_name":"Nan Guo","orcid":"https://orcid.org/0000-0002-2250-5224"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Wu Yanshu Guo","raw_affiliation_strings":["School of Integrated Circuits, Tsinghua University,Beijing,China"],"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Tsinghua University,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100356864","display_name":"Zhihua Wang","orcid":"https://orcid.org/0000-0001-6567-0759"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihua Wang","raw_affiliation_strings":["School of Integrated Circuits, Tsinghua University,Beijing,China"],"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Tsinghua University,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063888012","display_name":"Hanjun Jiang","orcid":"https://orcid.org/0000-0003-4911-0748"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanjun Jiang","raw_affiliation_strings":["School of Integrated Circuits, Tsinghua University,Beijing,China"],"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Tsinghua University,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5002535583"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17663436,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1036","last_page":"1040"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T13289","display_name":"Infant Health and Development","score":0.9598000049591064,"subfield":{"id":"https://openalex.org/subfields/3611","display_name":"Pharmacy"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9544000029563904,"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/minimum-bounding-box","display_name":"Minimum bounding box","score":0.8378251791000366},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7285995483398438},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6196272969245911},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.59405916929245},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5492538809776306},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5469085574150085},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.51639324426651},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48733362555503845},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.44649046659469604},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43457940220832825},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40467584133148193},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3377980589866638},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.329940527677536},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09378650784492493},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.0854044258594513},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.07797843217849731}],"concepts":[{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.8378251791000366},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7285995483398438},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6196272969245911},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.59405916929245},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5492538809776306},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5469085574150085},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.51639324426651},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48733362555503845},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.44649046659469604},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43457940220832825},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40467584133148193},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3377980589866638},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.329940527677536},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09378650784492493},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0854044258594513},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.07797843217849731},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mwscas60917.2024.10658691","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/mwscas60917.2024.10658691","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 67th International Midwest Symposium on Circuits and Systems (MWSCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2059759076","https://openalex.org/W2164385056","https://openalex.org/W2511073133","https://openalex.org/W2901821455","https://openalex.org/W2963654155","https://openalex.org/W3091468420","https://openalex.org/W3160672713","https://openalex.org/W3187649720","https://openalex.org/W4286543982","https://openalex.org/W4312638101","https://openalex.org/W4313161302","https://openalex.org/W4375868850","https://openalex.org/W4393147127"],"related_works":["https://openalex.org/W4237171675","https://openalex.org/W3036286480","https://openalex.org/W4287027631","https://openalex.org/W3192357901","https://openalex.org/W2387360586","https://openalex.org/W2952736415","https://openalex.org/W3209723314","https://openalex.org/W3205398323","https://openalex.org/W2883297582","https://openalex.org/W4390524233"],"abstract_inverted_index":{"Lip":[0],"detecion(LD)":[1],"holds":[2],"great":[3],"promise":[4],"for":[5,52],"mobile":[6,53],"human-computer":[7],"interaction(HCI)":[8],"terminals":[9],"such":[10],"as":[11,30],"hearing":[12],"aids,":[13],"robots,":[14],"smartphones":[15],"etc.":[16],"However":[17],"they":[18],"suffer":[19],"from":[20,27,117,138],"the":[21,69,88],"mas-sive":[22],"computation":[23,98],"and":[24,39,99],"resource":[25],"overhead":[26],"mainstream":[28],"models":[29],"Viola-Jones":[31],"framework,":[32],"convolutional":[33],"neural":[34,37],"networks(CNN),":[35],"recurrent":[36],"networks(RNN)":[38],"vision":[40],"transformer(ViT).":[41],"To":[42,120],"solve":[43],"this":[44],"problem,":[45],"we":[46],"propose":[47],"a":[48,62,79,111],"resource-efficient":[49],"lip":[50,57,76,89,160],"de-tector(RELD)":[51],"HCI":[54],"applications.":[55],"For":[56,101],"region":[58],"of":[59,75,113,149],"interest(ROI)":[60],"detection,":[61],"hybrid":[63],"feature":[64],"criteria":[65],"is":[66,84],"constructed":[67],"utilizing":[68],"hump-like":[70],"curve":[71],"formed":[72],"by":[73],"row-summation":[74],"ROI.":[77],"And":[78],"L-order":[80],"predictive":[81],"tracking":[82],"method":[83],"proposed":[85],"to":[86,158],"track":[87],"bounding":[90],"box":[91],"in":[92],"conitnuous":[93],"image":[94,140],"flows":[95],"with":[96],"low":[97],"latency.":[100],"behavioural":[102],"validation,":[103],"RELD":[104,144],"ahieves":[105],"test":[106],"accuracy":[107],"over":[108],"95%":[109],"on":[110,132],"database":[112],"204000":[114],"images":[115,136],"generated":[116],"GRID":[118],"dataset.":[119],"verify":[121],"its":[122],"hardware":[123],"feasibil-ity,":[124],"an":[125],"RTL":[126],"implementation":[127],"has":[128],"been":[129],"accomplished":[130],"based":[131],"200":[133,135],"\u00d7":[134],"read":[137],"OV7670":[139],"sensor,":[141],"showing":[142],"that":[143],"requires":[145],"only":[146],"352":[147],"bytes":[148],"SRAM":[150],"and:":[151],"\u2264;":[152],"5000":[153],"MAC":[154],"operations":[155],"per":[156],"frame":[157],"perform":[159],"detection":[161],"task.":[162]},"counts_by_year":[],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}