{"id":"https://openalex.org/W3027738792","doi":"https://doi.org/10.1109/cis-ram47153.2019.9095835","title":"Heuristic Detection of Recovery Progress using Robotic Data","display_name":"Heuristic Detection of Recovery Progress using Robotic Data","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3027738792","doi":"https://doi.org/10.1109/cis-ram47153.2019.9095835","mag":"3027738792"},"language":"en","primary_location":{"id":"doi:10.1109/cis-ram47153.2019.9095835","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cis-ram47153.2019.9095835","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://opus.lib.uts.edu.au/bitstream/10453/137151/4/20190915%2bCIS-RAM%2b-%2bYujun%2b-%2bHeuristic_Detection_of_Recovery_Progress_using_Robotic_Data%2b%28Final%2bsubmitted%2bversion%29.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052594146","display_name":"Yujun Lai","orcid":"https://orcid.org/0000-0002-9381-5836"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Yujun Lai","raw_affiliation_strings":["Centre for Autonomous Systems (CAS), Faculty of Engineering & Information Technology, University of Technology Sydney (UTS), Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Centre for Autonomous Systems (CAS), Faculty of Engineering & Information Technology, University of Technology Sydney (UTS), Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031338128","display_name":"Sheila Sutjipto","orcid":null},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Sheila Sutjipto","raw_affiliation_strings":["Centre for Autonomous Systems (CAS), Faculty of Engineering & Information Technology, University of Technology Sydney (UTS), Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Centre for Autonomous Systems (CAS), Faculty of Engineering & Information Technology, University of Technology Sydney (UTS), Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040329157","display_name":"Marc G. Carmichael","orcid":"https://orcid.org/0000-0001-8439-0074"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Marc Carmichael","raw_affiliation_strings":["Centre for Autonomous Systems (CAS), Faculty of Engineering & Information Technology, University of Technology Sydney (UTS), Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Centre for Autonomous Systems (CAS), Faculty of Engineering & Information Technology, University of Technology Sydney (UTS), Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104545816","display_name":"Gavin Paul","orcid":"https://orcid.org/0000-0002-3478-0020"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Gavin Paul","raw_affiliation_strings":["Centre for Autonomous Systems (CAS), Faculty of Engineering & Information Technology, University of Technology Sydney (UTS), Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Centre for Autonomous Systems (CAS), Faculty of Engineering & Information Technology, University of Technology Sydney (UTS), Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5052594146"],"corresponding_institution_ids":["https://openalex.org/I114017466"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22614221,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"506","last_page":"511"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9948999881744385,"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"}},{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9749000072479248,"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":0.7129911780357361},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6335685849189758},{"id":"https://openalex.org/keywords/dynamic-time-warping","display_name":"Dynamic time warping","score":0.5906081199645996},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5332690477371216},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.4757152199745178},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4688119888305664},{"id":"https://openalex.org/keywords/subsequence","display_name":"Subsequence","score":0.4318804144859314},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.43092525005340576},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42441362142562866},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42378145456314087},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.4236021637916565},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.41276222467422485}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7129911780357361},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6335685849189758},{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.5906081199645996},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5332690477371216},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.4757152199745178},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4688119888305664},{"id":"https://openalex.org/C137877099","wikidata":"https://www.wikidata.org/wiki/Q1332977","display_name":"Subsequence","level":3,"score":0.4318804144859314},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.43092525005340576},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42441362142562866},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42378145456314087},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.4236021637916565},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.41276222467422485},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cis-ram47153.2019.9095835","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cis-ram47153.2019.9095835","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM)","raw_type":"proceedings-article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/137151","is_oa":true,"landing_page_url":"http://hdl.handle.net/10453/137151","pdf_url":"https://opus.lib.uts.edu.au/bitstream/10453/137151/4/20190915%2bCIS-RAM%2b-%2bYujun%2b-%2bHeuristic_Detection_of_Recovery_Progress_using_Robotic_Data%2b%28Final%2bsubmitted%2bversion%29.pdf","source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"}],"best_oa_location":{"id":"pmh:oai:opus.lib.uts.edu.au:10453/137151","is_oa":true,"landing_page_url":"http://hdl.handle.net/10453/137151","pdf_url":"https://opus.lib.uts.edu.au/bitstream/10453/137151/4/20190915%2bCIS-RAM%2b-%2bYujun%2b-%2bHeuristic_Detection_of_Recovery_Progress_using_Robotic_Data%2b%28Final%2bsubmitted%2bversion%29.pdf","source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3027738792.pdf","grobid_xml":"https://content.openalex.org/works/W3027738792.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1492483411","https://openalex.org/W1497431575","https://openalex.org/W1593532658","https://openalex.org/W1746819321","https://openalex.org/W2001067471","https://openalex.org/W2009751620","https://openalex.org/W2054326469","https://openalex.org/W2069701377","https://openalex.org/W2117063635","https://openalex.org/W2128160875","https://openalex.org/W2136361599","https://openalex.org/W2162651021","https://openalex.org/W2283896980","https://openalex.org/W2321810672","https://openalex.org/W2529985333","https://openalex.org/W2556122547","https://openalex.org/W2591636406","https://openalex.org/W2768689142","https://openalex.org/W2795394779","https://openalex.org/W2894672688","https://openalex.org/W2901456780","https://openalex.org/W2918004658","https://openalex.org/W2920898951","https://openalex.org/W4211049957","https://openalex.org/W6629275181","https://openalex.org/W6629804754","https://openalex.org/W6729955762","https://openalex.org/W6749978658"],"related_works":["https://openalex.org/W2554075302","https://openalex.org/W3145461922","https://openalex.org/W2407016153","https://openalex.org/W2401021740","https://openalex.org/W1964543066","https://openalex.org/W4288621574","https://openalex.org/W1878264211","https://openalex.org/W1591808084","https://openalex.org/W2912005565","https://openalex.org/W2810872865"],"abstract_inverted_index":{"Assessment":[0],"methods":[1],"for":[2,14,41,81,87,125,155],"rehabilitation":[3,157],"and":[4,17,128],"recovery":[5,46],"have":[6,29,39],"recently":[7],"been":[8,30],"the":[9,49,69,83,97,105,116,119,150],"focal":[10],"point":[11],"of":[12,51,99,118,130,152],"research":[13],"medical":[15,55],"professionals":[16,56],"engineers":[18],"alike.":[19],"Current":[20],"assessment":[21],"protocols":[22],"rely":[23],"on":[24,68,104],"historical":[25],"ordinal":[26],"metrics":[27],"which":[28],"disputed":[31],"despite":[32],"their":[33],"inter-rater":[34],"reliability.":[35],"Contemporary":[36],"kinematic":[37],"measures":[38],"allowed":[40],"new":[42,60],"approaches":[43],"to":[44,75,114,148],"assess":[45],"progress.":[47],"However,":[48],"abundance":[50],"data":[52],"has":[53],"deterred":[54],"from":[57,78],"adopting":[58],"these":[59],"protocols.":[61],"This":[62],"paper":[63,134],"presents":[64],"a":[65,94,100],"method,":[66,120],"based":[67,103],"RMSE-LWSS":[70],"(Longest":[71],"Warping":[72],"Subsequence)":[73],"score,":[74],"distinguish":[76],"outliers":[77],"systemic":[79],"change":[80,91,126],"updating":[82],"personalized":[84],"exercise":[85],"path":[86,102],"users.":[88],"By":[89],"treating":[90],"detection":[92,127],"as":[93],"classification":[95,129],"problem,":[96],"incorporation":[98],"compromised":[101],"user's":[106],"current":[107],"capability":[108],"is":[109],"possible.":[110],"Experiments":[111],"were":[112],"conducted":[113],"verify":[115],"efficacy":[117],"comparing":[121],"against":[122],"statistical":[123],"techniques":[124],"pre-determined":[131],"paths.":[132],"The":[133],"highlights":[135],"how":[136],"readily":[137],"available":[138],"data,":[139],"rather":[140],"than":[141],"complex":[142],"sensor":[143],"systems,":[144],"can":[145],"be":[146],"utilized":[147],"improve":[149],"robustness":[151],"personalization":[153],"capabilities":[154],"robotic":[156],"systems.":[158]},"counts_by_year":[],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}