{"id":"https://openalex.org/W4416250766","doi":"https://doi.org/10.1109/ijcnn64981.2025.11227562","title":"Incorporating Long and Short-Term Memory Networks and Quaternion Transformation for Human Motion Prediction","display_name":"Incorporating Long and Short-Term Memory Networks and Quaternion Transformation for Human Motion Prediction","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416250766","doi":"https://doi.org/10.1109/ijcnn64981.2025.11227562"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11227562","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11227562","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/A5080096406","display_name":"Miaomiao Jin","orcid":"https://orcid.org/0000-0003-0312-4028"},"institutions":[{"id":"https://openalex.org/I2799850029","display_name":"Dongguan University of Technology","ror":"https://ror.org/01m8p7q42","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Miaomiao Jin","raw_affiliation_strings":["Dongguan University of Technology,School of Computer Science and Technology,Dongguan,China"],"affiliations":[{"raw_affiliation_string":"Dongguan University of Technology,School of Computer Science and Technology,Dongguan,China","institution_ids":["https://openalex.org/I2799850029"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026088596","display_name":"Ziliang Ren","orcid":"https://orcid.org/0000-0001-7940-294X"},"institutions":[{"id":"https://openalex.org/I2799850029","display_name":"Dongguan University of Technology","ror":"https://ror.org/01m8p7q42","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziliang Ren","raw_affiliation_strings":["Dongguan University of Technology,School of Computer Science and Technology,Dongguan,China"],"affiliations":[{"raw_affiliation_string":"Dongguan University of Technology,School of Computer Science and Technology,Dongguan,China","institution_ids":["https://openalex.org/I2799850029"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011954673","display_name":"Qieshi Zhang","orcid":"https://orcid.org/0000-0001-6358-1840"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qieshi Zhang","raw_affiliation_strings":["Chinese Academy of Sciences,Shenzhen Institutes of Advanced Technology,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Shenzhen Institutes of Advanced Technology,Shenzhen,China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081260520","display_name":"Tiezhu Zhao","orcid":"https://orcid.org/0000-0002-4211-6197"},"institutions":[{"id":"https://openalex.org/I2799850029","display_name":"Dongguan University of Technology","ror":"https://ror.org/01m8p7q42","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tiezhu Zhao","raw_affiliation_strings":["Dongguan University of Technology,School of Computer Science and Technology,Dongguan,China"],"affiliations":[{"raw_affiliation_string":"Dongguan University of Technology,School of Computer Science and Technology,Dongguan,China","institution_ids":["https://openalex.org/I2799850029"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102810053","display_name":"Hui Zhao","orcid":"https://orcid.org/0000-0002-2802-7753"},"institutions":[{"id":"https://openalex.org/I2799850029","display_name":"Dongguan University of Technology","ror":"https://ror.org/01m8p7q42","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Zhao","raw_affiliation_strings":["Dongguan University of Technology,School of Computer Science and Technology,Dongguan,China"],"affiliations":[{"raw_affiliation_string":"Dongguan University of Technology,School of Computer Science and Technology,Dongguan,China","institution_ids":["https://openalex.org/I2799850029"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5080096406"],"corresponding_institution_ids":["https://openalex.org/I2799850029"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.42305053,"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/T12290","display_name":"Human Motion and Animation","score":0.48030000925064087,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.48030000925064087,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.38690000772476196,"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/T10114","display_name":"Balance, Gait, and Falls Prevention","score":0.028200000524520874,"subfield":{"id":"https://openalex.org/subfields/3612","display_name":"Physical Therapy, Sports Therapy and Rehabilitation"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.6481000185012817},{"id":"https://openalex.org/keywords/quaternion","display_name":"Quaternion","score":0.6241000294685364},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5837000012397766},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.49380001425743103},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48539999127388},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4693000018596649},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4228000044822693},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.41429999470710754},{"id":"https://openalex.org/keywords/memory-model","display_name":"Memory model","score":0.4090999960899353}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7426999807357788},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6535000205039978},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.6481000185012817},{"id":"https://openalex.org/C200127275","wikidata":"https://www.wikidata.org/wiki/Q173853","display_name":"Quaternion","level":2,"score":0.6241000294685364},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5837000012397766},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.49380001425743103},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48539999127388},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4693000018596649},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4228000044822693},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.41429999470710754},{"id":"https://openalex.org/C12186640","wikidata":"https://www.wikidata.org/wiki/Q6815743","display_name":"Memory model","level":3,"score":0.4090999960899353},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.39419999718666077},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.38940000534057617},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3682999908924103},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.353300005197525},{"id":"https://openalex.org/C60327585","wikidata":"https://www.wikidata.org/wiki/Q723733","display_name":"Millisecond","level":2,"score":0.3450999855995178},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3433000147342682},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.33799999952316284},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.3127000033855438},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3084999918937683},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.29319998621940613},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.2838999927043915},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.28369998931884766},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2831999957561493},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.27090001106262207},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.2551000118255615}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11227562","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11227562","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/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2101032778","https://openalex.org/W2963548793","https://openalex.org/W2976669726","https://openalex.org/W3035545045","https://openalex.org/W3167223549","https://openalex.org/W4224289329","https://openalex.org/W4288697285","https://openalex.org/W4293473295","https://openalex.org/W4312272780","https://openalex.org/W4353090250","https://openalex.org/W4387046802","https://openalex.org/W4389356776","https://openalex.org/W4390872365","https://openalex.org/W4393196385","https://openalex.org/W4393321598","https://openalex.org/W4394625720","https://openalex.org/W4396696590","https://openalex.org/W4402352518","https://openalex.org/W4402352573","https://openalex.org/W4402961755","https://openalex.org/W4403759478"],"related_works":[],"abstract_inverted_index":{"Improving":[0],"the":[1,12,25,86,89,100,106,132,137,140,148,160,168],"accuracy":[2,169],"and":[3,57,94,111,121,130,151],"stability":[4],"of":[5,139,170],"human-computer":[6],"interaction":[7],"requires":[8],"machines":[9],"to":[10,14,35,135,173],"have":[11],"ability":[13],"predict":[15],"human":[16,64],"movements.":[17],"However,":[18],"existing":[19,174],"methods":[20],"perform":[21],"poorly":[22],"in":[23,127],"capturing":[24],"temporal":[26,142],"dependence":[27],"between":[28],"different":[29],"motion":[30,38,65,113],"sequences,":[31],"making":[32],"it":[33],"difficult":[34],"generate":[36],"natural":[37],"sequences":[39],"with":[40],"good":[41],"generalization":[42],"capabilities.":[43,116],"This":[44],"paper":[45],"proposes":[46],"a":[47,71,81],"novel":[48],"approach":[49],"that":[50,74],"combines":[51],"long":[52,82],"short-term":[53],"memory":[54],"networks":[55],"(LSTMs)":[56],"quaternion":[58],"transform":[59],"(QT)-based":[60],"layer":[61,119],"structures":[62],"for":[63],"prediction.":[66],"Our":[67],"LSTM":[68,91],"model":[69],"adopts":[70],"five-layer":[72],"architecture":[73],"can":[75],"effectively":[76],"capture":[77],"feature":[78,114],"information":[79],"over":[80],"time":[83,164],"range.":[84],"At":[85],"same":[87],"time,":[88],"residual":[90],"structure":[92],"(LSTMR)":[93],"attention":[95],"mechanism":[96],"are":[97,125],"introduced":[98],"into":[99],"encoder-decoder":[101],"structure,":[102],"which":[103],"further":[104],"enhances":[105],"model\u2019s":[107],"time-dependent":[108],"modeling":[109],"capabilities":[110],"key":[112],"extraction":[115],"In":[117],"addition,":[118],"normalization":[120],"hybrid":[122],"loss":[123],"functions":[124],"used":[126],"combination":[128],"before":[129],"after":[131],"training":[133],"process":[134],"optimize":[136],"performance":[138],"quaternion-based":[141],"layer.":[143],"Through":[144],"experimental":[145],"verification":[146],"on":[147],"public":[149],"Human3.6M":[150],"CMU-MoCap":[152],"data":[153],"sets,":[154],"our":[155],"method":[156],"performs":[157],"excellently":[158],"within":[159],"1000":[161],"millisecond":[162],"prediction":[163,171],"range,":[165],"significantly":[166],"improving":[167],"compared":[172],"methods.":[175]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-11-14T00:00:00"}