{"id":"https://openalex.org/W4400578739","doi":"https://doi.org/10.1109/lsp.2024.3426980","title":"Perception-Based Prediction for Efficient Kinesthetic Coding","display_name":"Perception-Based Prediction for Efficient Kinesthetic Coding","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4400578739","doi":"https://doi.org/10.1109/lsp.2024.3426980"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2024.3426980","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2024.3426980","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-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/A5088989374","display_name":"Yiwen Xu","orcid":"https://orcid.org/0000-0003-0523-4773"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiwen Xu","raw_affiliation_strings":["Fujian Key Lab for Intelligent Processing and Wireless Transmission of Media Information, Fuzhou University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0523-4773","affiliations":[{"raw_affiliation_string":"Fujian Key Lab for Intelligent Processing and Wireless Transmission of Media Information, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114888605","display_name":"Qingfeng Huang","orcid":"https://orcid.org/0009-0005-5206-9223"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingfeng Huang","raw_affiliation_strings":["Fujian Key Lab for Intelligent Processing and Wireless Transmission of Media Information, Fuzhou University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0009-0005-5206-9223","affiliations":[{"raw_affiliation_string":"Fujian Key Lab for Intelligent Processing and Wireless Transmission of Media Information, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104023848","display_name":"Quanfei Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quanfei Zheng","raw_affiliation_strings":["Fujian Key Lab for Intelligent Processing and Wireless Transmission of Media Information, Fuzhou University, Fuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujian Key Lab for Intelligent Processing and Wireless Transmission of Media Information, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114889786","display_name":"Ying Fang","orcid":"https://orcid.org/0000-0001-6266-1021"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Fang","raw_affiliation_strings":["Fujian Key Lab for Intelligent Processing and Wireless Transmission of Media Information, Fuzhou University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6266-1021","affiliations":[{"raw_affiliation_string":"Fujian Key Lab for Intelligent Processing and Wireless Transmission of Media Information, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057108758","display_name":"Tiesong Zhao","orcid":"https://orcid.org/0000-0002-7497-8883"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tiesong Zhao","raw_affiliation_strings":["Fujian Key Lab for Intelligent Processing and Wireless Transmission of Media Information, Fuzhou University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-7497-8883","affiliations":[{"raw_affiliation_string":"Fujian Key Lab for Intelligent Processing and Wireless Transmission of Media Information, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I80947539"],"apc_list":null,"apc_paid":null,"fwci":1.4306,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.82429348,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"31","issue":null,"first_page":"2530","last_page":"2534"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9819999933242798,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9819999933242798,"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/T13579","display_name":"Image and Video Stabilization","score":0.9724000096321106,"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9603000283241272,"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/kinesthetic-learning","display_name":"Kinesthetic learning","score":0.8063156604766846},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7147150039672852},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.7033493518829346},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.621787428855896},{"id":"https://openalex.org/keywords/predictive-coding","display_name":"Predictive coding","score":0.5311084389686584},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5286776423454285},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.442943811416626},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.14699894189834595},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13059115409851074},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0957137942314148}],"concepts":[{"id":"https://openalex.org/C55457006","wikidata":"https://www.wikidata.org/wiki/Q3647098","display_name":"Kinesthetic learning","level":2,"score":0.8063156604766846},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7147150039672852},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.7033493518829346},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.621787428855896},{"id":"https://openalex.org/C2778061373","wikidata":"https://www.wikidata.org/wiki/Q1315146","display_name":"Predictive coding","level":3,"score":0.5311084389686584},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5286776423454285},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.442943811416626},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.14699894189834595},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13059115409851074},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0957137942314148},{"id":"https://openalex.org/C138496976","wikidata":"https://www.wikidata.org/wiki/Q175002","display_name":"Developmental psychology","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2024.3426980","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2024.3426980","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6035754131","display_name":null,"funder_award_id":"62171134","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1538874856","https://openalex.org/W1967168827","https://openalex.org/W2072779348","https://openalex.org/W2099469159","https://openalex.org/W2138280914","https://openalex.org/W2146933248","https://openalex.org/W2339983651","https://openalex.org/W2891387701","https://openalex.org/W2912555763","https://openalex.org/W2970487583","https://openalex.org/W2996464992","https://openalex.org/W3092715016","https://openalex.org/W4293211585","https://openalex.org/W4310969252","https://openalex.org/W4367359425","https://openalex.org/W4383427914","https://openalex.org/W4389665440"],"related_works":["https://openalex.org/W3111440524","https://openalex.org/W2558272010","https://openalex.org/W2068552404","https://openalex.org/W4392899229","https://openalex.org/W2921166921","https://openalex.org/W4385174651","https://openalex.org/W3162087156","https://openalex.org/W1597792207","https://openalex.org/W4255446267","https://openalex.org/W2318615069"],"abstract_inverted_index":{"Integrating":[0],"haptic":[1,31,42,50,57],"feedback":[2],"with":[3,102,138],"audio":[4],"and":[5,21,28,38,46,81,84,142],"video":[6],"not":[7],"only":[8],"expands":[9],"the":[10,66,75,85,109,113,121],"perceptual":[11],"dimensions":[12],"of":[13,41,69,79,88,112],"multimedia":[14],"applications":[15],"but":[16],"also":[17],"enhances":[18],"user":[19],"engagement":[20],"experience.":[22],"However,":[23],"higher":[24],"signal":[25,43,58],"sampling":[26],"rates":[27,137],"multi-degree-freedom":[29],"in":[30,134],"interaction":[32],"increase":[33],"data":[34,135],"significantly.":[35],"For":[36],"low-latency":[37],"reliable":[39],"transmission":[40,136],"(i.e.":[44],"tactile":[45],"kinesthetic":[47,70,95],"signals),":[48],"efficient":[49],"coding":[51,96,101],"is":[52],"crucial.":[53],"Existing":[54],"algorithms":[55],"overlook":[56],"characteristics,":[59],"leaving":[60],"room":[61],"for":[62],"improvement.":[63],"We":[64],"analyze":[65],"statistical":[67],"characteristics":[68,78],"signals":[71],"in-depth.":[72],"Based":[73],"on":[74,108],"local":[76],"linear":[77,104],"position":[80],"velocity":[82],"signals,":[83],"sparse":[86],"distribution":[87],"force":[89],"signal,":[90],"we":[91],"propose":[92],"an":[93],"improved":[94],"algorithm":[97],"by":[98],"combining":[99],"dead-zone":[100],"segmented":[103],"prediction.":[105],"Extensive":[106],"experiments":[107],"standard":[110],"datasets":[111],"IEEE":[114],"P1918.1.1":[115],"Haptic":[116],"Codecs":[117],"Task":[118],"Group":[119],"demonstrate":[120],"superior":[122],"performance":[123],"compared":[124],"to":[125],"state-of-the-art":[126],"methods,":[127],"achieving":[128],"a":[129],"more":[130],"than":[131],"halved":[132],"reduction":[133],"high":[139],"signal-to-noise":[140],"ratios":[141],"structural":[143],"similarity.":[144]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
