{"id":"https://openalex.org/W4400037757","doi":"https://doi.org/10.1145/3652037.3652079","title":"Adaptive Motion Imitation for Robot Assisted Physiotherapy Using Dynamic Time Warping and Recurrent Neural Network","display_name":"Adaptive Motion Imitation for Robot Assisted Physiotherapy Using Dynamic Time Warping and Recurrent Neural Network","publication_year":2024,"publication_date":"2024-06-26","ids":{"openalex":"https://openalex.org/W4400037757","doi":"https://doi.org/10.1145/3652037.3652079"},"language":"en","primary_location":{"id":"doi:10.1145/3652037.3652079","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3652037.3652079","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments","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/A5095878891","display_name":"Ali Ashary","orcid":"https://orcid.org/0009-0002-1862-4850"},"institutions":[{"id":"https://openalex.org/I4210143137","display_name":"University of Louisville Hospital","ror":"https://ror.org/04sq8k219","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210143137"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ali Ashary","raw_affiliation_strings":["University of Louisville, United States"],"raw_orcid":"https://orcid.org/0009-0002-1862-4850","affiliations":[{"raw_affiliation_string":"University of Louisville, United States","institution_ids":["https://openalex.org/I4210143137"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068713578","display_name":"Madan Mohan Rayguru","orcid":"https://orcid.org/0000-0003-4339-4444"},"institutions":[{"id":"https://openalex.org/I4210143137","display_name":"University of Louisville Hospital","ror":"https://ror.org/04sq8k219","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210143137"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Madan Mohan Rayguru","raw_affiliation_strings":["University of Louisville, United States"],"raw_orcid":"https://orcid.org/0000-0003-4339-4444","affiliations":[{"raw_affiliation_string":"University of Louisville, United States","institution_ids":["https://openalex.org/I4210143137"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5099517731","display_name":"Jordan Dowdy","orcid":"https://orcid.org/0009-0000-4374-6943"},"institutions":[{"id":"https://openalex.org/I4210143137","display_name":"University of Louisville Hospital","ror":"https://ror.org/04sq8k219","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210143137"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jordan Dowdy","raw_affiliation_strings":["University of Louisville, United States"],"raw_orcid":"https://orcid.org/0009-0000-4374-6943","affiliations":[{"raw_affiliation_string":"University of Louisville, United States","institution_ids":["https://openalex.org/I4210143137"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043244290","display_name":"Nazita Taghavi","orcid":"https://orcid.org/0000-0001-8917-5816"},"institutions":[{"id":"https://openalex.org/I4210143137","display_name":"University of Louisville Hospital","ror":"https://ror.org/04sq8k219","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210143137"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nazita Taghavi","raw_affiliation_strings":["University of Louisville, United States"],"raw_orcid":"https://orcid.org/0000-0001-8917-5816","affiliations":[{"raw_affiliation_string":"University of Louisville, United States","institution_ids":["https://openalex.org/I4210143137"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089902968","display_name":"Dan O. Popa","orcid":"https://orcid.org/0000-0002-2360-0020"},"institutions":[{"id":"https://openalex.org/I4210143137","display_name":"University of Louisville Hospital","ror":"https://ror.org/04sq8k219","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210143137"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dan O. Popa","raw_affiliation_strings":["University of Louisville, United States"],"raw_orcid":"https://orcid.org/0000-0002-2360-0020","affiliations":[{"raw_affiliation_string":"University of Louisville, United States","institution_ids":["https://openalex.org/I4210143137"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5095878891"],"corresponding_institution_ids":["https://openalex.org/I4210143137"],"apc_list":null,"apc_paid":null,"fwci":0.9512,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.7759424,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"55","last_page":"62"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10510","display_name":"Stroke Rehabilitation and Recovery","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/2742","display_name":"Rehabilitation"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10510","display_name":"Stroke Rehabilitation and Recovery","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/2742","display_name":"Rehabilitation"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9872000217437744,"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":0.9757000207901001,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7145292162895203},{"id":"https://openalex.org/keywords/dynamic-time-warping","display_name":"Dynamic time warping","score":0.6926456093788147},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.6827505826950073},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6194571256637573},{"id":"https://openalex.org/keywords/image-warping","display_name":"Image warping","score":0.571699321269989},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5666972994804382},{"id":"https://openalex.org/keywords/imitation","display_name":"Imitation","score":0.5559873580932617},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5145434737205505},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5046242475509644},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.4340735375881195},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3829992711544037},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1782916784286499},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.13357076048851013},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.09112310409545898}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7145292162895203},{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.6926456093788147},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.6827505826950073},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6194571256637573},{"id":"https://openalex.org/C157202957","wikidata":"https://www.wikidata.org/wiki/Q1659609","display_name":"Image warping","level":2,"score":0.571699321269989},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5666972994804382},{"id":"https://openalex.org/C126388530","wikidata":"https://www.wikidata.org/wiki/Q1131737","display_name":"Imitation","level":2,"score":0.5559873580932617},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5145434737205505},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5046242475509644},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.4340735375881195},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3829992711544037},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1782916784286499},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.13357076048851013},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.09112310409545898}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3652037.3652079","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3652037.3652079","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger"}],"awards":[{"id":"https://openalex.org/G4445866600","display_name":null,"funder_award_id":"1838808","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1447379756","https://openalex.org/W1598796236","https://openalex.org/W1823588389","https://openalex.org/W1986014385","https://openalex.org/W1999874108","https://openalex.org/W2530903237","https://openalex.org/W2901322932","https://openalex.org/W2915273306","https://openalex.org/W2970705309","https://openalex.org/W3040691659","https://openalex.org/W3118616639","https://openalex.org/W3173706555","https://openalex.org/W3174537812","https://openalex.org/W3193572893","https://openalex.org/W3205396610","https://openalex.org/W4285102196","https://openalex.org/W4285102373","https://openalex.org/W4285222953","https://openalex.org/W4285604191","https://openalex.org/W4312252698","https://openalex.org/W4321192187","https://openalex.org/W4323767275","https://openalex.org/W4361029864"],"related_works":["https://openalex.org/W3183948672","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W1531601525","https://openalex.org/W2347413598","https://openalex.org/W71572444","https://openalex.org/W1997383766","https://openalex.org/W2154472250","https://openalex.org/W2350336482","https://openalex.org/W2229352698"],"abstract_inverted_index":{"Robot":[0],"assisted":[1,40],"physiotherapy":[2,24,41],"has":[3],"the":[4,8,17,20,52,55,58,61,67,72,113,121,124,133,138,159,163,168,172,174,177,184,192,206,211,225,228,233,236,240],"potential":[5],"to":[6,49,65,71,150,183,218,239],"reduce":[7],"workload":[9],"of":[10,19,30,54,126,135,171,176,187,197,227,235],"healthcare":[11],"professionals":[12],"and":[13,60,103,128,137,147,154,194,204],"deliver":[14],"interventions":[15],"in":[16,231],"comfort":[18],"home.":[21],"In":[22,38,75],"general,":[23],"involves":[25],"repeating":[26],"a":[27,85,95,117,152],"specific":[28],"set":[29],"motions":[31],"until":[32],"an":[33],"efficiency":[34],"metric":[35,118],"is":[36,179],"reached.":[37],"robot":[39,59,127,237],"sessions,":[42],"two":[43,81],"major":[44],"questions":[45,82],"arise:":[46],"1)":[47],"How":[48,64],"accurately":[50],"quantify":[51],"similarity":[53,122],"motion":[56,91,125,136],"between":[57,123,191],"subject;":[62],"2)":[63],"adapt":[66],"robot's":[68],"behavior":[69,234],"according":[70,182,238],"subject's":[73,241],"ability.":[74],"this":[76],"paper,":[77],"we":[78],"address":[79],"these":[80],"by":[83],"proposing":[84],"new":[86],"modular":[87],"framework":[88,111,199,214,230],"for":[89,119,158],"adaptive":[90],"imitation":[92,185,242],"(AMI)":[93],"using":[94],"deep":[96],"long-short":[97],"term":[98],"recurrent":[99],"neural":[100],"network":[101],"(LSTM-RNN)":[102],"segment":[104],"online":[105],"dynamic":[106,153],"time":[107],"warping":[108],"(SODTW).":[109],"Our":[110],"uses":[112,148],"SODTW":[114,169],"cost":[115,170],"as":[116,145],"quantifying":[120],"subject.":[129],"The":[130,189,222],"LSTM-RNN":[131,178],"takes":[132],"range":[134],"fundamental":[139],"discrete":[140],"Fourier":[141],"transform":[142],"(DFT)":[143],"coefficients":[144,165],"inputs":[146],"them":[149],"predict":[151],"periodic":[155],"reference":[156],"trajectory":[157],"robot.":[160],"By":[161],"modifying":[162],"DFT":[164],"based":[166],"on":[167],"subject,":[173],"output":[175],"then":[180],"adapted":[181],"ability":[186],"subjects.":[188],"separation":[190],"prediction":[193],"adaptation":[195],"portions":[196],"our":[198],"greatly":[200],"simplifies":[201],"testing,":[202],"coding":[203],"improves":[205],"algorithm":[207],"scalability.":[208],"We":[209],"tested":[210],"proposed":[212,229],"AMI":[213],"with":[215],"10":[216],"participants":[217],"verify":[219],"its":[220],"effectiveness.":[221],"results":[223],"demonstrate":[224],"validity":[226],"adapting":[232],"abilities.":[243]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}