{"id":"https://openalex.org/W4380881587","doi":"https://doi.org/10.1109/thms.2023.3278874","title":"Inertial Measurement Units and Partial Least Square Regression to Predict Perceived Exertion During Repetitive Fatiguing Piano Tasks","display_name":"Inertial Measurement Units and Partial Least Square Regression to Predict Perceived Exertion During Repetitive Fatiguing Piano Tasks","publication_year":2023,"publication_date":"2023-06-16","ids":{"openalex":"https://openalex.org/W4380881587","doi":"https://doi.org/10.1109/thms.2023.3278874"},"language":"en","primary_location":{"id":"doi:10.1109/thms.2023.3278874","is_oa":false,"landing_page_url":"https://doi.org/10.1109/thms.2023.3278874","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":true,"oa_status":"green","oa_url":"https://inria.hal.science/hal-04133070","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067339623","display_name":"\u00c9tienne Goubault","orcid":"https://orcid.org/0000-0002-3825-4001"},"institutions":[{"id":"https://openalex.org/I70931966","display_name":"Universit\u00e9 de Montr\u00e9al","ror":"https://ror.org/0161xgx34","country_code":"CA","type":"education","lineage":["https://openalex.org/I70931966"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Etienne Goubault","raw_affiliation_strings":["Department of Kinesiology, University of Montreal, Montréall, QC, Canada"],"raw_orcid":"https://orcid.org/0000-0002-3825-4001","affiliations":[{"raw_affiliation_string":"Department of Kinesiology, University of Montreal, Montréall, QC, Canada","institution_ids":["https://openalex.org/I70931966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007622795","display_name":"Felipe Verdugo","orcid":"https://orcid.org/0000-0003-2486-3444"},"institutions":[{"id":"https://openalex.org/I70931966","display_name":"Universit\u00e9 de Montr\u00e9al","ror":"https://ror.org/0161xgx34","country_code":"CA","type":"education","lineage":["https://openalex.org/I70931966"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Felipe Verdugo","raw_affiliation_strings":["Department of Kinesiology, University of Montreal, Montréal, QC, Canada"],"raw_orcid":"https://orcid.org/0000-0003-2486-3444","affiliations":[{"raw_affiliation_string":"Department of Kinesiology, University of Montreal, Montréal, QC, Canada","institution_ids":["https://openalex.org/I70931966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066063863","display_name":"Fran\u00e7ois Bailly","orcid":"https://orcid.org/0000-0002-7737-8269"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I70931966","display_name":"Universit\u00e9 de Montr\u00e9al","ror":"https://ror.org/0161xgx34","country_code":"CA","type":"education","lineage":["https://openalex.org/I70931966"]}],"countries":["CA","FR"],"is_corresponding":false,"raw_author_name":"Fran\u00e7ois Bailly","raw_affiliation_strings":["Department of Kinesiology, University of Montreal, Montréall, QC, Canada","National Institute for Research in Computer Science and Automation (Inria), Camin Team, Montpellier, France"],"raw_orcid":"https://orcid.org/0000-0002-7737-8269","affiliations":[{"raw_affiliation_string":"Department of Kinesiology, University of Montreal, Montréall, QC, Canada","institution_ids":["https://openalex.org/I70931966"]},{"raw_affiliation_string":"National Institute for Research in Computer Science and Automation (Inria), Camin Team, Montpellier, France","institution_ids":["https://openalex.org/I1326498283"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013076638","display_name":"Micka\u00ebl Begon","orcid":"https://orcid.org/0000-0002-4107-9160"},"institutions":[{"id":"https://openalex.org/I70931966","display_name":"Universit\u00e9 de Montr\u00e9al","ror":"https://ror.org/0161xgx34","country_code":"CA","type":"education","lineage":["https://openalex.org/I70931966"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Micka\u00ebl Begon","raw_affiliation_strings":["Department of Kinesiology, University of Montreal, Montréal, QC, Canada"],"raw_orcid":"https://orcid.org/0000-0002-4107-9160","affiliations":[{"raw_affiliation_string":"Department of Kinesiology, University of Montreal, Montréal, QC, Canada","institution_ids":["https://openalex.org/I70931966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031947527","display_name":"Fabien Dal Maso","orcid":"https://orcid.org/0000-0002-7676-9655"},"institutions":[{"id":"https://openalex.org/I70931966","display_name":"Universit\u00e9 de Montr\u00e9al","ror":"https://ror.org/0161xgx34","country_code":"CA","type":"education","lineage":["https://openalex.org/I70931966"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Fabien Dal Maso","raw_affiliation_strings":["Department of Kinesiology, University of Montreal, Montréal, QC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Kinesiology, University of Montreal, Montréal, QC, Canada","institution_ids":["https://openalex.org/I70931966"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4356,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.62492627,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"53","issue":"4","first_page":"802","last_page":"810"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14034","display_name":"Musicians\u2019 Health and Performance","score":0.9998999834060669,"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/T14034","display_name":"Musicians\u2019 Health and Performance","score":0.9998999834060669,"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/T10982","display_name":"Motor Control and Adaptation","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11425","display_name":"Diverse Music Education Insights","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/1210","display_name":"Music"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/perceived-exertion","display_name":"Perceived exertion","score":0.6066340804100037},{"id":"https://openalex.org/keywords/chord","display_name":"Chord (peer-to-peer)","score":0.5532193779945374},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.477508008480072},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.46864980459213257},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4655965268611908},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.4311944842338562},{"id":"https://openalex.org/keywords/cross-validation","display_name":"Cross-validation","score":0.4255495071411133},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41796454787254333},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38534215092658997},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.37818703055381775},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3370726704597473},{"id":"https://openalex.org/keywords/heart-rate","display_name":"Heart rate","score":0.2018304467201233},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1122148334980011}],"concepts":[{"id":"https://openalex.org/C2993527604","wikidata":"https://www.wikidata.org/wiki/Q2372945","display_name":"Perceived exertion","level":4,"score":0.6066340804100037},{"id":"https://openalex.org/C194147245","wikidata":"https://www.wikidata.org/wiki/Q1076368","display_name":"Chord (peer-to-peer)","level":2,"score":0.5532193779945374},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.477508008480072},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.46864980459213257},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4655965268611908},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.4311944842338562},{"id":"https://openalex.org/C27181475","wikidata":"https://www.wikidata.org/wiki/Q541014","display_name":"Cross-validation","level":2,"score":0.4255495071411133},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41796454787254333},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38534215092658997},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.37818703055381775},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3370726704597473},{"id":"https://openalex.org/C2777953023","wikidata":"https://www.wikidata.org/wiki/Q1073121","display_name":"Heart rate","level":3,"score":0.2018304467201233},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1122148334980011},{"id":"https://openalex.org/C84393581","wikidata":"https://www.wikidata.org/wiki/Q82642","display_name":"Blood pressure","level":2,"score":0.0},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/thms.2023.3278874","is_oa":false,"landing_page_url":"https://doi.org/10.1109/thms.2023.3278874","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"},{"id":"pmh:oai:HAL:hal-04133070v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-04133070","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Human-Machine Systems, 2023, 53 (4), pp.802 - 810. ⟨10.1109/THMS.2023.3278874⟩","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-04133070v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-04133070","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Human-Machine Systems, 2023, 53 (4), pp.802 - 810. ⟨10.1109/THMS.2023.3278874⟩","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320319952","display_name":"Canada Foundation for Innovation","ror":"https://ror.org/000az4664"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":73,"referenced_works":["https://openalex.org/W36040755","https://openalex.org/W120288851","https://openalex.org/W608415809","https://openalex.org/W807996015","https://openalex.org/W1867833334","https://openalex.org/W1966455806","https://openalex.org/W1966676463","https://openalex.org/W1988088279","https://openalex.org/W1996195892","https://openalex.org/W2000710952","https://openalex.org/W2001978179","https://openalex.org/W2004008756","https://openalex.org/W2006942305","https://openalex.org/W2021795255","https://openalex.org/W2054625992","https://openalex.org/W2056933353","https://openalex.org/W2065135511","https://openalex.org/W2073309755","https://openalex.org/W2093265755","https://openalex.org/W2098764478","https://openalex.org/W2100164856","https://openalex.org/W2103259441","https://openalex.org/W2132016272","https://openalex.org/W2137213959","https://openalex.org/W2138695073","https://openalex.org/W2144416292","https://openalex.org/W2147320300","https://openalex.org/W2148650601","https://openalex.org/W2285362125","https://openalex.org/W2309028480","https://openalex.org/W2318171354","https://openalex.org/W2414203248","https://openalex.org/W2421103589","https://openalex.org/W2517171837","https://openalex.org/W2520469238","https://openalex.org/W2583620790","https://openalex.org/W2594795921","https://openalex.org/W2621129872","https://openalex.org/W2741488979","https://openalex.org/W2749794192","https://openalex.org/W2765924923","https://openalex.org/W2791472699","https://openalex.org/W2804140808","https://openalex.org/W2806443605","https://openalex.org/W2808631414","https://openalex.org/W2818209198","https://openalex.org/W2909242004","https://openalex.org/W2924132726","https://openalex.org/W2949077135","https://openalex.org/W2990743947","https://openalex.org/W2994102706","https://openalex.org/W3016414762","https://openalex.org/W3026282821","https://openalex.org/W3031121470","https://openalex.org/W3035004561","https://openalex.org/W3121322113","https://openalex.org/W3124201954","https://openalex.org/W3127842181","https://openalex.org/W3130590116","https://openalex.org/W3152593492","https://openalex.org/W3158787381","https://openalex.org/W3177416949","https://openalex.org/W3183803956","https://openalex.org/W3198503254","https://openalex.org/W4220666486","https://openalex.org/W4240288471","https://openalex.org/W4306964787","https://openalex.org/W6601450353","https://openalex.org/W6611971808","https://openalex.org/W6618769683","https://openalex.org/W6623034183","https://openalex.org/W6675271007","https://openalex.org/W6717438492"],"related_works":["https://openalex.org/W229552792","https://openalex.org/W2351864507","https://openalex.org/W3215212221","https://openalex.org/W31220157","https://openalex.org/W2288557197","https://openalex.org/W4233024177","https://openalex.org/W2101914902","https://openalex.org/W3174613421","https://openalex.org/W1800458610","https://openalex.org/W2384527366"],"abstract_inverted_index":{"Aim.":[0],"Predict":[1],"the":[2,66,69,79,85,89,113,136,139,142,158,182,194],"rate":[3],"of":[4,8,54,68,91,101,106,118,135,138,149,184,196,216],"perceived":[5],"exertion":[6,186],"(RPE)":[7],"pianists":[9,20,201],"using":[10,202],"inertial":[11],"measurement":[12],"units":[13],"(IMUs)-based":[14],"kinematic":[15,49,203],"descriptors.":[16,50,204],"Method.":[17],"Fifty":[18],"expert":[19],"playedDigital(right-hand":[21],"16-tone":[22],"sequence)":[23,26],"andChord(right-hand":[24],"chord":[25],"excerpts":[27],"in":[28,73,112,181,200,220],"a":[29,179],"continuous":[30],"loop":[31],"for":[32,83,161,209],"12":[33,104],"min":[34,105],"or":[35],"until":[36],"exhaustion.":[37],"Partial":[38],"least":[39],"square":[40],"regression":[41],"was":[42,62,75],"used":[43,63],"to":[44,64,77,171,212],"predict":[45,172],"RPE":[46,86,140,173,199],"with":[47,59,145],"IMUs-based":[48],"The":[51,115,164],"mean":[52],"error":[53,148],"prediction":[55,183],"over":[56],"50":[57],"iterations":[58],"five-folds":[60],"cross-validation":[61],"assess":[65],"quality":[67],"model.":[70],"Variable":[71],"importance":[72],"projection":[74],"calculated":[76],"determine":[78],"most":[80],"relevant":[81],"features":[82],"predicting":[84],"and":[87,96,109,120,131,153,168,218],"reduce":[88],"number":[90],"input":[92,122],"predictors.":[93],"Results.":[94],"Thirty":[95],"twenty-six":[97],"participants":[98],"showed":[99],"signs":[100],"fatigue":[102,217],"before":[103],"theDigitalandChordtasks,":[107],"respectively,":[108],"were":[110,174],"included":[111],"analysis.":[114],"reduced":[116],"model":[117],"275":[119],"227":[121],"variables":[123,126],"including":[124],"four-latent":[125],"explained":[127],"86.95":[128],"\u00b1":[129,133,151,155],"0.46":[130],"83.91":[132],"0.54":[134],"variance":[137],"on":[141,157],"training":[143],"set":[144,160],"an":[146],"absolute":[147],"0.976":[150],"0.033":[152],"1.189":[154],"0.068":[156],"testing":[159],"bothDigitalandChordtasks,":[162],"respectively.":[163],"best":[165],"features,":[166],"variables,":[167],"sensor":[169],"positions":[170],"different":[175],"between":[176],"bothDigitalandChordtasks":[177],"suggesting":[178],"task-dependency":[180],"effort":[185],"during":[187],"piano":[188],"performance.":[189],"Conclusion.":[190],"These":[191,205],"results":[192,206],"highlight":[193],"feasibility":[195],"continuously":[197],"monitoring":[198],"are":[207],"promising":[208],"developing":[210],"methods":[211],"prevent":[213],"high":[214],"levels":[215],"injuries":[219],"musicians.":[221]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}