{"id":"https://openalex.org/W4285109204","doi":"https://doi.org/10.1007/978-3-031-09593-1_15","title":"Stress Prediction Using Per-Activity Biometric Data to\u00a0Improve QoL in\u00a0the\u00a0Elderly","display_name":"Stress Prediction Using Per-Activity Biometric Data to\u00a0Improve QoL in\u00a0the\u00a0Elderly","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4285109204","doi":"https://doi.org/10.1007/978-3-031-09593-1_15"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-09593-1_15","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-09593-1_15","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-09593-1_15.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-09593-1_15.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091842988","display_name":"Kanta Matsumoto","orcid":"https://orcid.org/0000-0002-1310-9959"},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Kanta Matsumoto","raw_affiliation_strings":["Nara Institute of Science and Technology, 8916\u20135 Takayama-cho, Ikoma-shi Nara, 630-0192, Japan"],"raw_orcid":"https://orcid.org/0000-0002-1310-9959","affiliations":[{"raw_affiliation_string":"Nara Institute of Science and Technology, 8916\u20135 Takayama-cho, Ikoma-shi Nara, 630-0192, Japan","institution_ids":["https://openalex.org/I75917431"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027042061","display_name":"Tomokazu Matsui","orcid":"https://orcid.org/0000-0002-9144-2407"},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomokazu Matsui","raw_affiliation_strings":["Nara Institute of Science and Technology, 8916\u20135 Takayama-cho, Ikoma-shi Nara, 630-0192, Japan"],"raw_orcid":"https://orcid.org/0000-0002-9144-2407","affiliations":[{"raw_affiliation_string":"Nara Institute of Science and Technology, 8916\u20135 Takayama-cho, Ikoma-shi Nara, 630-0192, Japan","institution_ids":["https://openalex.org/I75917431"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005700675","display_name":"Hirohiko Suwa","orcid":"https://orcid.org/0000-0002-8519-3352"},"institutions":[{"id":"https://openalex.org/I4210126580","display_name":"RIKEN Center for Advanced Intelligence Project","ror":"https://ror.org/03ckxwf91","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210126580"]},{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hirohiko Suwa","raw_affiliation_strings":["Nara Institute of Science and Technology, 8916\u20135 Takayama-cho, Ikoma-shi Nara, 630-0192, Japan","RIKEN Center for Advanced Intelligence Project AIP, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0002-8519-3352","affiliations":[{"raw_affiliation_string":"Nara Institute of Science and Technology, 8916\u20135 Takayama-cho, Ikoma-shi Nara, 630-0192, Japan","institution_ids":["https://openalex.org/I75917431"]},{"raw_affiliation_string":"RIKEN Center for Advanced Intelligence Project AIP, Tokyo, Japan","institution_ids":["https://openalex.org/I4210126580"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019740585","display_name":"Keiichi Yasumoto","orcid":"https://orcid.org/0000-0003-1579-3237"},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keiichi Yasumoto","raw_affiliation_strings":["Nara Institute of Science and Technology, 8916\u20135 Takayama-cho, Ikoma-shi Nara, 630-0192, Japan"],"raw_orcid":"https://orcid.org/0000-0003-1579-3237","affiliations":[{"raw_affiliation_string":"Nara Institute of Science and Technology, 8916\u20135 Takayama-cho, Ikoma-shi Nara, 630-0192, Japan","institution_ids":["https://openalex.org/I75917431"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5091842988"],"corresponding_institution_ids":["https://openalex.org/I75917431"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":0.2818,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.62143855,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"196","last_page":"208"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9537000060081482,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9537000060081482,"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/T12006","display_name":"Ergonomics and Musculoskeletal Disorders","score":0.9384999871253967,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.9229999780654907,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.9060096740722656},{"id":"https://openalex.org/keywords/biometric-data","display_name":"Biometric data","score":0.7060033679008484},{"id":"https://openalex.org/keywords/activities-of-daily-living","display_name":"Activities of daily living","score":0.6987742781639099},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5812327861785889},{"id":"https://openalex.org/keywords/stress","display_name":"Stress (linguistics)","score":0.547019362449646},{"id":"https://openalex.org/keywords/morning","display_name":"Morning","score":0.5007719993591309},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4396421015262604},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43626245856285095},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4117131531238556},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2007025182247162},{"id":"https://openalex.org/keywords/physical-therapy","display_name":"Physical therapy","score":0.09205684065818787}],"concepts":[{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.9060096740722656},{"id":"https://openalex.org/C2989513435","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometric data","level":3,"score":0.7060033679008484},{"id":"https://openalex.org/C79544238","wikidata":"https://www.wikidata.org/wiki/Q423243","display_name":"Activities of daily living","level":2,"score":0.6987742781639099},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5812327861785889},{"id":"https://openalex.org/C21036866","wikidata":"https://www.wikidata.org/wiki/Q181767","display_name":"Stress (linguistics)","level":2,"score":0.547019362449646},{"id":"https://openalex.org/C19720800","wikidata":"https://www.wikidata.org/wiki/Q7722","display_name":"Morning","level":2,"score":0.5007719993591309},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4396421015262604},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43626245856285095},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4117131531238556},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2007025182247162},{"id":"https://openalex.org/C1862650","wikidata":"https://www.wikidata.org/wiki/Q186005","display_name":"Physical therapy","level":1,"score":0.09205684065818787},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-031-09593-1_15","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-09593-1_15","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-09593-1_15.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-3-031-09593-1_15","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-09593-1_15","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-09593-1_15.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285109204.pdf","grobid_xml":"https://content.openalex.org/works/W4285109204.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W1983135491","https://openalex.org/W1985541164","https://openalex.org/W2068349382","https://openalex.org/W2071782474","https://openalex.org/W2105036571","https://openalex.org/W2108849617","https://openalex.org/W2128242332","https://openalex.org/W2153037374","https://openalex.org/W2313602734","https://openalex.org/W2888738480","https://openalex.org/W3046959539","https://openalex.org/W3082706505","https://openalex.org/W3202437914","https://openalex.org/W4200310729","https://openalex.org/W4256457894"],"related_works":["https://openalex.org/W2070951564","https://openalex.org/W4235304214","https://openalex.org/W2348616196","https://openalex.org/W1942112330","https://openalex.org/W2081577055","https://openalex.org/W2981192112","https://openalex.org/W3183904581","https://openalex.org/W4206056428","https://openalex.org/W4386159983","https://openalex.org/W2084010922"],"abstract_inverted_index":{"Abstract":[0],"To":[1],"improve":[2,97],"the":[3,6,18,44,77,98,122,126,139,143,151,156,159,164,170,176,180,191,199,207],"QoL":[4],"of":[5,101,128,145,169,175],"elderly,":[7],"it":[8,72],"is":[9,73,125],"essential":[10],"to":[11,24,28,75,96,155],"predict":[12,43,76],"their":[13],"stress":[14,19,45,78,102,130],"states.":[15],"In":[16,89],"general,":[17],"state":[20,46,79],"varies":[21],"from":[22,163,185,206],"day":[23,25],"or":[26],"time":[27,29,57],"depending":[30],"on":[31],"what":[32],"activities":[33,52,85,108,148],"are":[34,142],"performed":[35,149,171],"and":[36,50,58,86,110,136,138,158],"how":[37],"long/strong.":[38],"However,":[39],"most":[40],"existing":[41],"studies":[42],"using":[47,179],"biometric":[48,87,111,165,196,211],"data":[49,109,166,183],"specific":[51],"(e.g.,":[53],"sleep":[54],"time,":[55],"exercise":[56],"amount)":[59],"as":[60],"explanatory":[61,140],"variables,":[62],"but":[63],"do":[64],"not":[65],"consider":[66],"all":[67],"daily":[68,83,106,146],"living":[69,84,107,147],"activities.":[70,172],"Therefore,":[71],"necessary":[74],"by":[80,104,202],"linking":[81,105],"various":[82],"information.":[88],"this":[90],"paper,":[91],"we":[92,114],"propose":[93],"a":[94,116,129],"method":[95,193],"prediction":[99,200],"accuracy":[100,201],"estimation":[103],"data.":[112],"Specifically,":[113],"construct":[115],"machine":[117],"learning":[118],"model":[119],"in":[120,150],"which":[121],"objective":[123],"variable":[124],"result":[127],"status":[131],"questionnaire":[132,157],"obtained":[133],"every":[134],"morning":[135],"evening,":[137],"variables":[141],"types":[144],"24":[152],"h":[153],"prior":[154],"feature":[160],"values":[161],"calculated":[162],"during":[167],"each":[168],"The":[173],"results":[174],"evaluation":[177],"experiments":[178],"one":[181],"month":[182],"collected":[184],"five":[186],"elderly":[187],"households,":[188],"show":[189],"that":[190],"proposed":[192],"(using":[194],"per-activity":[195],"features)":[197],"improves":[198],"more":[203],"than":[204],"10%":[205],"baseline":[208],"methods":[209],"(with":[210],"features":[212],"without":[213],"considering":[214],"activities).":[215]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}