{"id":"https://openalex.org/W4402435484","doi":"https://doi.org/10.1109/thms.2024.3452133","title":"Fusion of Temporal Transformer and Spatial Graph Convolutional Network for 3-D Skeleton-Parts-Based Human Motion Prediction","display_name":"Fusion of Temporal Transformer and Spatial Graph Convolutional Network for 3-D Skeleton-Parts-Based Human Motion Prediction","publication_year":2024,"publication_date":"2024-09-11","ids":{"openalex":"https://openalex.org/W4402435484","doi":"https://doi.org/10.1109/thms.2024.3452133"},"language":"en","primary_location":{"id":"doi:10.1109/thms.2024.3452133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/thms.2024.3452133","pdf_url":null,"source":{"id":"https://openalex.org/S2476799526","display_name":"IEEE Transactions on Human-Machine Systems","issn_l":"2168-2291","issn":["2168-2291","2168-2305"],"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 Transactions on Human-Machine Systems","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/A5082828674","display_name":"Mayank Lovanshi","orcid":"https://orcid.org/0000-0002-3136-4873"},"institutions":[{"id":"https://openalex.org/I188963388","display_name":"International Institute of Information Technology","ror":"https://ror.org/02dernx73","country_code":"IN","type":"education","lineage":["https://openalex.org/I188963388"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mayank Lovanshi","raw_affiliation_strings":["Department of Computer Science and Engineering, International Institute of Information Technology, Naya Raipur, India"],"raw_orcid":"https://orcid.org/0000-0002-3136-4873","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, International Institute of Information Technology, Naya Raipur, India","institution_ids":["https://openalex.org/I188963388"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101712130","display_name":"Vivek Tiwari","orcid":"https://orcid.org/0000-0002-7411-5113"},"institutions":[{"id":"https://openalex.org/I9747756","display_name":"Atal Bihari Vajpayee Indian Institute of Information Technology and Management","ror":"https://ror.org/008b3ap06","country_code":"IN","type":"education","lineage":["https://openalex.org/I9747756"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vivek Tiwari","raw_affiliation_strings":["Department of Computer Science and Engineering, ABV-Indian Institute of Information Technology and Management, Gwalior, India"],"raw_orcid":"https://orcid.org/0000-0002-7411-5113","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, ABV-Indian Institute of Information Technology and Management, Gwalior, India","institution_ids":["https://openalex.org/I9747756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086565563","display_name":"Rajesh Ingle","orcid":"https://orcid.org/0000-0001-5678-5191"},"institutions":[{"id":"https://openalex.org/I188963388","display_name":"International Institute of Information Technology","ror":"https://ror.org/02dernx73","country_code":"IN","type":"education","lineage":["https://openalex.org/I188963388"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rajesh Ingle","raw_affiliation_strings":["Department of Computer Science and Engineering, International Institute of Information Technology, Naya Raipur, India"],"raw_orcid":"https://orcid.org/0000-0001-5678-5191","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, International Institute of Information Technology, Naya Raipur, India","institution_ids":["https://openalex.org/I188963388"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018690112","display_name":"Swati Jain","orcid":"https://orcid.org/0000-0001-7361-6357"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Swati Jain","raw_affiliation_strings":["Government J Yoganandam Chhattisgarh College, Raipur, India"],"raw_orcid":"https://orcid.org/0000-0001-7361-6357","affiliations":[{"raw_affiliation_string":"Government J Yoganandam Chhattisgarh College, Raipur, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7498,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.86000682,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"54","issue":"6","first_page":"788","last_page":"797"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9843000173568726,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9843000173568726,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9351000189781189,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T12994","display_name":"Infrared Thermography in Medicine","score":0.9347000122070312,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.570440948009491},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.546399712562561},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5192082524299622},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5006434917449951},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4639752507209778},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.43908652663230896},{"id":"https://openalex.org/keywords/human-motion","display_name":"Human motion","score":0.43639451265335083},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34410911798477173},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3342364728450775},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.20346739888191223},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1689617931842804},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.16713672876358032},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.08409488201141357},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.062293827533721924}],"concepts":[{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.570440948009491},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.546399712562561},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5192082524299622},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5006434917449951},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4639752507209778},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.43908652663230896},{"id":"https://openalex.org/C2986578859","wikidata":"https://www.wikidata.org/wiki/Q657632","display_name":"Human motion","level":3,"score":0.43639451265335083},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34410911798477173},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3342364728450775},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.20346739888191223},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1689617931842804},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.16713672876358032},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.08409488201141357},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.062293827533721924},{"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/thms.2024.3452133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/thms.2024.3452133","pdf_url":null,"source":{"id":"https://openalex.org/S2476799526","display_name":"IEEE Transactions on Human-Machine Systems","issn_l":"2168-2291","issn":["2168-2291","2168-2305"],"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 Transactions on Human-Machine Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W4239306820","https://openalex.org/W2947043951","https://openalex.org/W4312417841","https://openalex.org/W4210874298"],"abstract_inverted_index":{"The":[0,106,199],"field":[1],"of":[2,103,177,205,208,219],"human":[3,24,75,104,114,131,194],"motion":[4,25,76,115,120,132,164,185,195],"prediction":[5],"has":[6],"gained":[7],"prominence,":[8],"finding":[9],"applications":[10],"in":[11,28,77,192],"various":[12],"domains":[13],"such":[14],"as":[15],"intelligent":[16],"surveillance":[17],"and":[18,38,60,92,118,129,158,162,179,183,210,212,217,223],"human\u2013robot":[19],"interaction.":[20],"However,":[21],"predicting":[22,74,193],"full-body":[23],"poses":[26],"challenges":[27],"capturing":[29,100],"joint":[30,152],"interactions,":[31],"handling":[32],"diverse":[33],"movement":[34],"patterns,":[35],"managing":[36],"occlusions,":[37],"ensuring":[39],"real-time":[40],"performance.":[41],"To":[42],"address":[43],"these":[44],"challenges,":[45],"the":[46,55,137,148,169,203,214,220],"proposed":[47,138],"model":[48,139],"adopts":[49],"a":[50,83,93],"skeleton-parted":[51],"strategy":[52],"to":[53],"dissect":[54],"skeleton":[56,79],"structure,":[57],"enhancing":[58],"coordination":[59],"fusion":[61],"between":[62],"body":[63],"parts.":[64],"This":[65],"novel":[66],"method":[67],"combines":[68],"transformer-enabled":[69],"graph":[70,95],"convolutional":[71,96],"networks":[72],"for":[73,87,99,160,181],"3-D":[78],"data.":[80],"It":[81],"integrates":[82],"temporal":[84,89],"transformer":[85],"(T-Transformer)":[86],"comprehensive":[88,113],"feature":[90],"extraction":[91],"spatial":[94,101],"network":[97],"(S-GCN)":[98],"characteristics":[102],"motion.":[105],"model's":[107],"performance":[108],"is":[109],"evaluated":[110],"on":[111,143,168],"two":[112],"datasets,":[116,145],"Human3.6M":[117],"CMU":[119,170],"capture":[121],"(CMU":[122],"Mocap),":[123],"containing":[124],"numerous":[125],"videos":[126],"encompassing":[127],"short":[128],"long":[130],"sequences.":[133],"Results":[134],"indicate":[135],"that":[136],"outperforms":[140],"state-of-the-art":[141],"methods":[142],"both":[144],"significantly":[146],"improving":[147],"average":[149],"mean":[150],"per":[151],"positional":[153],"error":[154],"(avg-MPJPE)":[155],"by":[156],"3.50%":[157],"11.45%":[159],"short-term":[161,182],"long-term":[163,184],"prediction,":[165,186],"respectively.":[166],"Similarly,":[167],"Mocap":[171],"dataset,":[172],"it":[173],"achieves":[174],"avg-MPJPE":[175],"improvements":[176],"2.69%":[178],"1.05%":[180],"respectively,":[187],"demonstrating":[188],"its":[189],"superior":[190],"accuracy":[191],"over":[196],"extended":[197],"periods.":[198],"study":[200],"also":[201],"investigates":[202],"impact":[204],"different":[206],"numbers":[207],"T-Transformers":[209],"S-GCNs":[211],"explores":[213],"specific":[215],"roles":[216],"contributions":[218],"T-Transformer,":[221],"S-GCN,":[222],"cross-part":[224],"components.":[225]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
