{"id":"https://openalex.org/W4404740104","doi":"https://doi.org/10.1109/rtsi61910.2024.10761362","title":"Leveraging Machine Learning for Physical Exercise Recommendation Based on Heart Rate: Older Adults Personalized Training","display_name":"Leveraging Machine Learning for Physical Exercise Recommendation Based on Heart Rate: Older Adults Personalized Training","publication_year":2024,"publication_date":"2024-09-18","ids":{"openalex":"https://openalex.org/W4404740104","doi":"https://doi.org/10.1109/rtsi61910.2024.10761362"},"language":"en","primary_location":{"id":"doi:10.1109/rtsi61910.2024.10761362","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/rtsi61910.2024.10761362","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 8th Forum on Research and Technologies for Society and Industry Innovation (RTSI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5072968890","display_name":"Atieh Mahroo","orcid":"https://orcid.org/0000-0002-2962-3661"},"institutions":[{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Atieh Mahroo","raw_affiliation_strings":["Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing (STIIMA), National Research Council of Italy (CNR),Lecco,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing (STIIMA), National Research Council of Italy (CNR),Lecco,Italy","institution_ids":["https://openalex.org/I4210155236"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053743373","display_name":"Vera Colombo","orcid":"https://orcid.org/0000-0001-6648-1917"},"institutions":[{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Vera Colombo","raw_affiliation_strings":["Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing (STIIMA), National Research Council of Italy (CNR),Lecco,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing (STIIMA), National Research Council of Italy (CNR),Lecco,Italy","institution_ids":["https://openalex.org/I4210155236"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000912194","display_name":"Daniele Spoladore","orcid":"https://orcid.org/0000-0002-0527-070X"},"institutions":[{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Daniele Spoladore","raw_affiliation_strings":["Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing (STIIMA), National Research Council of Italy (CNR),Lecco,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing (STIIMA), National Research Council of Italy (CNR),Lecco,Italy","institution_ids":["https://openalex.org/I4210155236"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011977936","display_name":"Marco Sacco","orcid":"https://orcid.org/0000-0002-5055-4031"},"institutions":[{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Sacco","raw_affiliation_strings":["Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing (STIIMA), National Research Council of Italy (CNR),Lecco,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing (STIIMA), National Research Council of Italy (CNR),Lecco,Italy","institution_ids":["https://openalex.org/I4210155236"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210155236"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"73","last_page":"78"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10352","display_name":"Physical Activity and Health","score":0.8916000127792358,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"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/T10352","display_name":"Physical Activity and Health","score":0.8916000127792358,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"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/computer-science","display_name":"Computer science","score":0.7026516199111938},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.6737667322158813},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.40544575452804565},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38992148637771606},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3660595417022705},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.32224202156066895}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7026516199111938},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.6737667322158813},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.40544575452804565},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38992148637771606},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3660595417022705},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.32224202156066895},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/rtsi61910.2024.10761362","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/rtsi61910.2024.10761362","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 8th Forum on Research and Technologies for Society and Industry Innovation (RTSI)","raw_type":"proceedings-article"},{"id":"pmh:oai:boa.unimib.it:10281/573623","is_oa":false,"landing_page_url":"https://hdl.handle.net/10281/573623","pdf_url":null,"source":{"id":"https://openalex.org/S4306401259","display_name":"BOA (University of Milano-Bicocca)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66752286","host_organization_name":"University of Milano-Bicocca","host_organization_lineage":["https://openalex.org/I66752286"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2040307130","https://openalex.org/W2041666349","https://openalex.org/W2048348029","https://openalex.org/W2123883893","https://openalex.org/W2169125742","https://openalex.org/W2213612645","https://openalex.org/W2888080621","https://openalex.org/W2893184825","https://openalex.org/W2909558605","https://openalex.org/W2914053210","https://openalex.org/W3005703884","https://openalex.org/W3204767170","https://openalex.org/W4360615678","https://openalex.org/W4381032946","https://openalex.org/W4386821858","https://openalex.org/W4386822084"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Healthcare":[0],"5.0":[1],"smart":[2],"solutions":[3],"can":[4],"improve":[5,110],"the":[6,17,62,80,92,97,123,142,156,178,182,195,204],"quality":[7],"of":[8,20,171,206],"life":[9],"among":[10,47],"people,":[11],"especially":[12],"older":[13,48,66,111,172],"adults,":[14,173],"by":[15],"tackling":[16],"negative":[18],"effects":[19],"aging.":[21],"The":[22],"Active3":[23],"project":[24],"proposes":[25,55],"a":[26,35,39,56,117,128,137,151,169],"virtual":[27],"reality-based":[28],"system":[29,102],"that":[30,154],"enables":[31],"cycling":[32,63],"exercise":[33,88,119,163],"and":[34,86,95,114,147,161,189,200],"cognitive":[36],"game":[37],"in":[38,127],"multi-player":[40],"VR":[41],"environment":[42,130],"to":[43,60,68,90,104,109,141,149,202],"promote":[44],"social":[45],"inclusion":[46],"adults":[49,67],"via":[50],"daily":[51],"exercise.":[52],"This":[53,101,134],"paper":[54],"machine":[57],"learning":[58],"algorithm":[59],"personalize":[61],"workload":[64,89,99,148],"for":[65],"maintain":[69],"safe":[70,129],"yet":[71],"stimulating":[72],"cardiovascular":[73],"training.":[74],"It":[75],"leverages":[76],"historical":[77],"data":[78],"from":[79,177],"user's":[81,124,143,183,196],"heart":[82,93,144,159,184,187],"rate":[83,94,145,160],"wearable":[84],"sensor":[85],"corresponding":[87],"predict":[91],"suggest":[96],"proper":[98],"accordingly.":[100],"aims":[103],"provide":[105],"personalized":[106],"physical":[107,162],"training":[108],"adults'":[112],"health":[113],"well-being":[115],"through":[116],"customized":[118],"program":[120],"based":[121],"on":[122,168],"physiological":[125],"condition":[126],"without":[131],"clinical":[132],"supervision.":[133],"work":[135],"integrates":[136],"linear":[138],"regression":[139],"model":[140,153],"measurements":[146],"develop":[150],"simple":[152],"understands":[155],"relationship":[157],"between":[158],"workload.":[164],"Cross-validation":[165],"is":[166],"performed":[167],"dataset":[170],"which":[174],"was":[175],"collected":[176],"previous":[179],"study":[180],"containing":[181],"rate,":[185,188],"resting":[186],"cycle":[190],"ergometer":[191],"workload,":[192],"together":[193],"with":[194],"age,":[197],"gender,":[198],"weight,":[199],"height,":[201],"analyze":[203],"effect":[205],"these":[207],"features.":[208]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}