{"id":"https://openalex.org/W4408353179","doi":"https://doi.org/10.1109/icassp49660.2025.10887940","title":"Adaptive Feature Aggregation for In-Air Handwritten Trajectory","display_name":"Adaptive Feature Aggregation for In-Air Handwritten Trajectory","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408353179","doi":"https://doi.org/10.1109/icassp49660.2025.10887940"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10887940","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10887940","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5069295920","display_name":"Zeyu Qiu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zeyu Qiu","raw_affiliation_strings":["University of Chinese Academy of Sciences,Beijing,China"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences,Beijing,China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100721592","display_name":"Weiqiang Wang","orcid":"https://orcid.org/0000-0001-5734-1226"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiqiang Wang","raw_affiliation_strings":["University of Chinese Academy of Sciences,Beijing,China"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences,Beijing,China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5069295920"],"corresponding_institution_ids":["https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04181015,"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":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9983999729156494,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9983999729156494,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9977999925613403,"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/trajectory","display_name":"Trajectory","score":0.8045272827148438},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7517216801643372},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6274441480636597},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5640497207641602},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.48947203159332275},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4778853952884674},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4099523425102234},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39150887727737427}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.8045272827148438},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7517216801643372},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6274441480636597},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5640497207641602},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.48947203159332275},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4778853952884674},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4099523425102234},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39150887727737427},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10887940","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10887940","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.49000000953674316}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2064675550","https://openalex.org/W2127141656","https://openalex.org/W2516047780","https://openalex.org/W2752200353","https://openalex.org/W2766703716","https://openalex.org/W2794219092","https://openalex.org/W2795903550","https://openalex.org/W2897768609","https://openalex.org/W2901183446","https://openalex.org/W2935940070","https://openalex.org/W2965066169","https://openalex.org/W3035164270","https://openalex.org/W3215188621","https://openalex.org/W4205524147","https://openalex.org/W4312375927","https://openalex.org/W4385245566","https://openalex.org/W4386159002","https://openalex.org/W4386172471","https://openalex.org/W4387350588","https://openalex.org/W4390874210","https://openalex.org/W4394698552","https://openalex.org/W4402996499","https://openalex.org/W6631190155","https://openalex.org/W6726497184","https://openalex.org/W6779442434","https://openalex.org/W6869102658"],"related_works":["https://openalex.org/W2601157893","https://openalex.org/W2373006798","https://openalex.org/W2131735617","https://openalex.org/W2056912418","https://openalex.org/W2033213769","https://openalex.org/W4312376745","https://openalex.org/W2136016640","https://openalex.org/W2049538278","https://openalex.org/W2886173746","https://openalex.org/W4200043248"],"abstract_inverted_index":{"As":[0],"a":[1],"novel":[2],"human-computer":[3],"interaction":[4],"modality,":[5],"in-air":[6,19],"handwriting":[7,20],"character":[8,21],"recognition":[9,22,43,97],"has":[10],"drawn":[11],"the":[12,34,62,67,100],"attention":[13],"of":[14,37,64,89],"researchers.":[15],"Nevertheless,":[16],"existing":[17,85],"camera-based":[18],"algorithms,":[23],"such":[24],"as":[25],"those":[26],"employing":[27],"average":[28],"pooling":[29],"or":[30],"CTC":[31],"decoding,":[32],"overlook":[33],"varying":[35],"importance":[36],"features,":[38],"leading":[39],"to":[40],"relatively":[41],"low":[42],"accuracy.":[44],"In":[45],"this":[46],"study,":[47],"we":[48],"present":[49],"an":[50],"adaptive":[51],"feature":[52],"aggregation":[53,72],"approach.":[54],"Our":[55,105],"method":[56],"can":[57],"allocate":[58],"weights":[59],"based":[60],"on":[61,99],"significance":[63],"features":[65],"in":[66,73,87,96],"time":[68],"dimension":[69],"and":[70,102],"perform":[71],"accordance":[74],"with":[75],"these":[76],"weights.":[77],"Multiple":[78],"experiments":[79],"demonstrate":[80],"that":[81],"our":[82],"module":[83],"surpasses":[84],"methods":[86],"terms":[88],"performance.":[90],"We":[91],"have":[92],"achieved":[93],"remarkable":[94],"enhancements":[95],"accuracy":[98],"AWCV-100K-UCAS2024,":[101],"WiTA":[103],"datasets.":[104],"project":[106],"is":[107],"open-sourced":[108],"at:":[109],"https://github.com/Mayo001/AFA.":[110]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}