{"id":"https://openalex.org/W7165982425","doi":null,"title":"Assessment of motor behaviour in daily living using a smart wearable","display_name":"Assessment of motor behaviour in daily living using a smart wearable","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7165982425"},"language":"en","primary_location":{"id":"pmh:oai:trepo.tuni.fi:10024/237211","doi":null,"is_oa":false,"landing_page_url":"https://trepo.tuni.fi/handle/10024/237211","pdf_url":null,"source":{"id":"https://openalex.org/S4306401860","display_name":"Tampere University Institutional Repository (Tampere University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I150589677","host_organization_name":"Tampere University of Applied Sciences","host_organization_lineage":["https://openalex.org/I150589677"],"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":"fi= Diplomity\u00f6 | en=Master\u2019s thesis (technology)|"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"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/A5091964280","display_name":"Paavo Nyl\u00e4nden","orcid":"https://orcid.org/0009-0001-2556-086X","observed_orcids":["https://orcid.org/0009-0001-2556-086X"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Nyl\u00e4nden, Paavo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5091964280"],"corresponding_institution_ids":[],"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9994999766349792,"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":0.9994999766349792,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.0,"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/wearable-devices","display_name":"wearable devices","score":0.8849999904632568},{"id":"https://openalex.org/keywords/motor-behavior","display_name":"motor behavior","score":0.7089999914169312},{"id":"https://openalex.org/keywords/posture-recognition","display_name":"posture recognition","score":0.8330000042915344},{"id":"https://openalex.org/keywords/motion-classification","display_name":"movement classification","score":0.9919999837875366},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"inertial measurement unit","score":0.9549999833106995},{"id":"https://openalex.org/keywords/deep-learning","display_name":"deep learning","score":0.6290000081062317},{"id":"https://openalex.org/keywords/long-term-monitoring","display_name":"long-term monitoring","score":0.6169999837875366},{"id":"https://openalex.org/keywords/everyday-life","display_name":"everyday life","score":0.7429999709129333},{"id":"https://openalex.org/keywords/user-centered-design","display_name":"user-centered design","score":0.7099999785423279},{"id":"https://openalex.org/keywords/class-imbalance","display_name":"class imbalance","score":0.906000018119812}],"concepts":[{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.8549000024795532},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.5652999877929688},{"id":"https://openalex.org/C79544238","wikidata":"https://www.wikidata.org/wiki/Q423243","display_name":"Activities of daily living","level":2,"score":0.5138999819755554},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4880000054836273},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.46630001068115234},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4593000113964081},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4237000048160553},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.4050000011920929},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.39590001106262207},{"id":"https://openalex.org/C3018552312","wikidata":"https://www.wikidata.org/wiki/Q315412","display_name":"Assisted living","level":2,"score":0.36480000615119934},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.32829999923706055},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.32199999690055847},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.28999999165534973},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2694000005722046},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.26910001039505005},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.267300009727478},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2565000057220459},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.25619998574256897},{"id":"https://openalex.org/C2989058681","wikidata":"https://www.wikidata.org/wiki/Q1179623","display_name":"Motor impairment","level":2,"score":0.2538999915122986},{"id":"https://openalex.org/C173906292","wikidata":"https://www.wikidata.org/wiki/Q1493441","display_name":"Gait analysis","level":3,"score":0.2524000108242035},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.2500999867916107}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:trepo.tuni.fi:10024/237211","doi":null,"is_oa":false,"landing_page_url":"https://trepo.tuni.fi/handle/10024/237211","pdf_url":null,"source":{"id":"https://openalex.org/S4306401860","display_name":"Tampere University Institutional Repository (Tampere University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I150589677","host_organization_name":"Tampere University of Applied Sciences","host_organization_lineage":["https://openalex.org/I150589677"],"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":"fi= Diplomity\u00f6 | en=Master\u2019s thesis (technology)|"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.9391000270843506}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2741512373","https://openalex.org/W7169483339","https://openalex.org/W2799999982","https://openalex.org/W4383648778","https://openalex.org/W4220900222","https://openalex.org/W2765679320","https://openalex.org/W3002131908","https://openalex.org/W4306689136","https://openalex.org/W3089186933","https://openalex.org/W3025043103"],"abstract_inverted_index":{"Wearable":[0],"technology":[1],"offers":[2],"promising":[3],"tools":[4,21],"for":[5,84,96,141,146,187,198],"the":[6,17,82,91,107,112,119,126,152,157],"assessment":[7],"and":[8,13,33,55,104,115,144,172,194],"monitoring":[9,203],"of":[10,19,31,53,78,90,125,137,168],"cardiovascular,":[11],"musculoskeletal,":[12],"mental":[14],"health.":[15],"However,":[16],"use":[18,32],"these":[20],"is":[22,204],"limited":[23],"by":[24],"their":[25],"validity,":[26],"as":[27,29],"well":[28],"ease":[30],"unobtrusiveness.":[34],"This":[35],"work":[36],"presents":[37],"a":[38,70,88,166],"novel":[39,185],"user-centered":[40],"smart":[41,180],"wearable":[42,59,74,83,181],"designed":[43],"to":[44,110],"monitor":[45],"motor":[46,189],"behaviour":[47,190],"in":[48,156,191],"daily":[49,192],"living":[50,193],"through":[51],"classification":[52,143],"posture":[54,114,142],"movement.":[56],"A":[57,76,98,133],"custom-made":[58],"device":[60],"with":[61,87],"integrated":[62],"inertial":[63],"measurement":[64],"units":[65],"was":[66,102,128,139,170],"constructed":[67,103,120],"based":[68,117],"on":[69,94,106,118],"previously":[71],"published":[72],"MAIJU":[73],"system.":[75],"total":[77],"13":[79],"subjects":[80],"wore":[81],"8\u201324":[85],"hours,":[86],"part":[89],"recording":[92],"captured":[93],"video":[95],"annotation.":[97],"deep":[99],"learning":[100],"classifier":[101],"trained":[105],"recorded":[108],"data":[109],"classify":[111],"users\u2019":[113],"movement":[116,147],"annotation":[121],"schema.":[122],"The":[123,178],"performance":[124,150,160],"model":[127],"tested":[129],"using":[130],"leave-one-subject-out":[131],"cross-validation.":[132],"macro-average":[134],"F1":[135],"score":[136],"0.652":[138],"achieved":[140],"0.692":[145],"classification.":[148],"Category-level":[149],"reflected":[151],"class":[153],"imbalance":[154],"present":[155],"dataset.":[158],"Model":[159],"did":[161],"not":[162],"decrease":[163],"significantly":[164,174],"when":[165],"subset":[167],"sensors":[169],"removed,":[171],"it":[173],"outperformed":[175],"dummy":[176],"classifiers.":[177],"presented":[179],"provides":[182],"an":[183],"accurate,":[184],"tool":[186],"quantifying":[188],"demonstrates":[195],"significant":[196],"potential":[197],"clinical":[199],"applications":[200],"where":[201],"long-term":[202],"necessary.":[205]},"counts_by_year":[],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2026-06-26T00:00:00"}