{"id":"https://openalex.org/W4416249634","doi":"https://doi.org/10.1109/ijcnn64981.2025.11229341","title":"Temporal-Aware Domain Adaptation for Noise Reduction in IMU-based Facial Perception","display_name":"Temporal-Aware Domain Adaptation for Noise Reduction in IMU-based Facial Perception","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416249634","doi":"https://doi.org/10.1109/ijcnn64981.2025.11229341"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11229341","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11229341","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","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/A5107809220","display_name":"Yan-Rong Li","orcid":"https://orcid.org/0000-0001-5841-9179"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanrong Li","raw_affiliation_strings":["Chinese Academy of Sciences,Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology,Beijing,China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101808278","display_name":"Yingwei Zhang","orcid":"https://orcid.org/0000-0002-6582-1745"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingwei Zhang","raw_affiliation_strings":["Chinese Academy of Sciences,Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology,Beijing,China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008558592","display_name":"Yiqiang Chen","orcid":"https://orcid.org/0000-0002-8407-0780"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiqiang Chen","raw_affiliation_strings":["Chinese Academy of Sciences,Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology,Beijing,China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5107809220"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.34253156,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.6498000025749207,"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"}},"topics":[{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.6498000025749207,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.07890000194311142,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.07249999791383743,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.5896000266075134},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5049999952316284},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5034999847412109},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.4903999865055084},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.48330000042915344},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.438400000333786},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4171999990940094},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4162999987602234},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.40470001101493835}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7836999893188477},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6331999897956848},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.5896000266075134},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5049999952316284},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5034999847412109},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.4903999865055084},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.48330000042915344},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.474700003862381},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.438400000333786},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4171999990940094},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4162999987602234},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.40470001101493835},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.40059998631477356},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.3693000078201294},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.35740000009536743},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.34299999475479126},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.33629998564720154},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.32519999146461487},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.3239000141620636},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.31290000677108765},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.29280000925064087},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.2865999937057495},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.2736000120639801},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.27300000190734863},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.26460000872612},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.2574999928474426}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11229341","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11229341","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1541794730","https://openalex.org/W1588539311","https://openalex.org/W1967370536","https://openalex.org/W1983338102","https://openalex.org/W1985853728","https://openalex.org/W2095913679","https://openalex.org/W2100564287","https://openalex.org/W2170179129","https://openalex.org/W2395639500","https://openalex.org/W2568677893","https://openalex.org/W2593768305","https://openalex.org/W2771445804","https://openalex.org/W2793519333","https://openalex.org/W2888908488","https://openalex.org/W2927635891","https://openalex.org/W3093564344","https://openalex.org/W3112174128","https://openalex.org/W3113163751","https://openalex.org/W3201019945","https://openalex.org/W3203713564","https://openalex.org/W4283079207","https://openalex.org/W4287219555","https://openalex.org/W4313639556","https://openalex.org/W4366249685","https://openalex.org/W4386185183","https://openalex.org/W4386920288","https://openalex.org/W4396680719","https://openalex.org/W4400064519"],"related_works":[],"abstract_inverted_index":{"Within":[0],"the":[1,34,82,97,110,115],"domain":[2,94],"of":[3,99],"smart":[4,12],"wearable":[5],"sensing,":[6],"facial":[7,46],"perception":[8,47,136],"technology":[9],"can":[10],"enhance":[11],"glasses":[13,40],"by":[14],"providing":[15],"more":[16],"humanized":[17],"and":[18,30],"contextual":[19],"feedback,":[20],"thereby":[21],"playing":[22],"a":[23,62,87],"crucial":[24],"role":[25],"in":[26,44,134],"improving":[27],"user":[28],"experience":[29],"device":[31],"interaction.":[32],"However,":[33],"Inertial":[35],"Measurement":[36],"Unit":[37],"(IMU)":[38],"on":[39],"faces":[41],"significant":[42],"challenges":[43],"high-precision":[45],"due":[48],"to":[49,85,108],"unpredictable":[50],"noise":[51,69],"from":[52],"irrelevant":[53],"human":[54],"motion.":[55],"To":[56],"address":[57],"this":[58],"problem,":[59],"we":[60,72,103],"propose":[61],"Temporal-Aware":[63],"Domain":[64,74],"Adaptation":[65],"(TADA)":[66],"approach":[67],"for":[68,132],"reduction.":[70],"Specifically,":[71],"introduce":[73],"Alignment":[75],"via":[76],"Class":[77],"Token":[78],"(DACT).":[79],"By":[80],"leveraging":[81],"class":[83],"token":[84],"capture":[86],"broader":[88],"receptive":[89],"field,":[90],"DACT":[91],"enables":[92],"effective":[93],"alignment":[95],"through":[96],"extraction":[98],"global":[100],"features.":[101],"Additionally,":[102],"design":[104],"Time":[105],"Patch":[106],"Normalization":[107],"constrain":[109],"model":[111],"input":[112],"scale":[113],"at":[114],"feature":[116],"temporal":[117],"level.":[118],"The":[119],"experimental":[120],"results":[121],"demonstrate":[122],"that":[123],"our":[124],"method":[125],"outperforms":[126],"multiple":[127],"methods,":[128],"highlighting":[129],"its":[130],"potential":[131],"denoising":[133],"high-frame-rate":[135],"tasks.":[137],"Our":[138],"code":[139],"is":[140],"open-sourced<sup":[141],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[142],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>.":[143]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-11-14T00:00:00"}