Sedentary behavior health outcomes and identifying the uncertain behavior patterns in adult
Uncertain sedentary behavior has evolved as a new health concern in recent periods. Being inactive for long periods is a significant risk factor among all the adult age groups, especially over-reliance on vehicles for mobility. Sensors are making it easier to monitor seating habits throughout the ac...
Gespeichert in:
| Veröffentlicht in: | Nauchno-tekhnicheskiĭ vestnik informat͡s︡ionnykh tekhnologiĭ, mekhaniki i optiki Jg. 23; H. 5; S. 1021 - 1029 |
|---|---|
| Hauptverfasser: | , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
ITMO University
01.12.2024
|
| Schlagworte: | |
| ISSN: | 2226-1494, 2500-0373 |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| Abstract | Uncertain sedentary behavior has evolved as a new health concern in recent periods. Being inactive for long periods is a significant risk factor among all the adult age groups, especially over-reliance on vehicles for mobility. Sensors are making it easier to monitor seating habits throughout the active period. However, experts are divided on the most appropriate objective metrics for capturing the cumulative information of sedentary time throughout the day. Due to discrepancies in measuring methods, data processing techniques, and the absence of fundamental outcome indicators like cumulative sedentary period, evaluating the several research studies sedentary patterns was unrealistic. In this research study, a novel design was suggested with adaptive computations, namely, fleeting granularity, to differentiate instances of daily human activities. Multivariate transitory information is acquired from sophisticated units (essential cells). Our proposed scalable algorithms can identify Frequent Behavior Patterns (FBPs) with a timeframe estimate by employing collected widespread multivariate data (fleeting granularity). It has been evidenced that the applicability of the example by differentiating proof computations on two certifiable datasets. The assessment of the relationships, accuracy, and applicability of sedentary factors is the primary subject of this research. |
|---|---|
| AbstractList | Uncertain sedentary behavior has evolved as a new health concern in recent periods. Being inactive for long periods is a significant risk factor among all the adult age groups, especially over-reliance on vehicles for mobility. Sensors are making it easier to monitor seating habits throughout the active period. However, experts are divided on the most appropriate objective metrics for capturing the cumulative information of sedentary time throughout the day. Due to discrepancies in measuring methods, data processing techniques, and the absence of fundamental outcome indicators like cumulative sedentary period, evaluating the several research studies sedentary patterns was unrealistic. In this research study, a novel design was suggested with adaptive computations, namely, fleeting granularity, to differentiate instances of daily human activities. Multivariate transitory information is acquired from sophisticated units (essential cells). Our proposed scalable algorithms can identify Frequent Behavior Patterns (FBPs) with a timeframe estimate by employing collected widespread multivariate data (fleeting granularity). It has been evidenced that the applicability of the example by differentiating proof computations on two certifiable datasets. The assessment of the relationships, accuracy, and applicability of sedentary factors is the primary subject of this research. |
| Author | Shanmugam, D.B. Dhilipan, J. |
| Author_xml | – sequence: 1 givenname: D.B. orcidid: 0000-0002-6839-1242 surname: Shanmugam fullname: Shanmugam, D.B. – sequence: 2 givenname: J. orcidid: 0000-0003-2122-5076 surname: Dhilipan fullname: Dhilipan, J. |
| BookMark | eNpFkEtLAzEQx4MoWGu_Q07eVpNJ9pGLIMVHoeDB3jyEvLab0mZLNhX67c22PmD4TxhmfpDfDboMfXAI3VFyT-uyqR4AoCooF7wAAqzIVRaUAB1DXKAJlIQUhNXsMr9_d6_RbBg2hBBa5wCYoM8PZ11IKh6xdp368n3EnVPb1OH-kEy_cwNWwWI_bvn26MMap87hQzAuJuXD_9lepeRiGHAeKnvYplt01art4GY_fYpWL8-r-VuxfH9dzJ-WhQFei4KCoswK1lSs4rYyQBSBWtVAaCsaw0vLjTAt18y0QgAT4KDVTgMYYyvNpmhxxtpebeQ--l3-jeyVl6dBH9dSxeTN1kmmacOEdaxUmuuMMiVrDOXGEEUJFZn1eGaZ2A9DdO0fjxJ5Ei9HmXKUKUfxMlcpR_FjCPYNHJV5Uw |
| ContentType | Journal Article |
| DBID | AAYXX CITATION DOA |
| DOI | 10.17586/2226-1494-2023-23-5-1021-1029 |
| DatabaseName | CrossRef DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | |
| Database_xml | – sequence: 1 dbid: DOA name: Directory of Open Access Journals (DOAJ) url: https://www.doaj.org/ sourceTypes: Open Website |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| EISSN | 2500-0373 |
| EndPage | 1029 |
| ExternalDocumentID | oai_doaj_org_article_3b1839de35ab4b239c538c14cc0a1019 10_17586_2226_1494_2023_23_5_1021_1029 |
| GroupedDBID | 642 AAYXX ADBBV AFKRA ALMA_UNASSIGNED_HOLDINGS BCNDV BENPR BPHCQ BYOGL CITATION GROUPED_DOAJ KQ8 PIMPY PQQKQ PROAC VCL VIT |
| ID | FETCH-LOGICAL-c2479-12a13d9386364d6c20a027a7201f98c45d4c9cf4b3cf992392e2fbeb22ccd6b3 |
| IEDL.DBID | DOA |
| ISSN | 2226-1494 |
| IngestDate | Mon Nov 03 22:07:14 EST 2025 Sat Nov 29 03:57:45 EST 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 5 |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c2479-12a13d9386364d6c20a027a7201f98c45d4c9cf4b3cf992392e2fbeb22ccd6b3 |
| ORCID | 0000-0002-6839-1242 0000-0003-2122-5076 |
| OpenAccessLink | https://doaj.org/article/3b1839de35ab4b239c538c14cc0a1019 |
| PageCount | 9 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_3b1839de35ab4b239c538c14cc0a1019 crossref_primary_10_17586_2226_1494_2023_23_5_1021_1029 |
| PublicationCentury | 2000 |
| PublicationDate | 2024-12-01 |
| PublicationDateYYYYMMDD | 2024-12-01 |
| PublicationDate_xml | – month: 12 year: 2024 text: 2024-12-01 day: 01 |
| PublicationDecade | 2020 |
| PublicationTitle | Nauchno-tekhnicheskiĭ vestnik informat͡s︡ionnykh tekhnologiĭ, mekhaniki i optiki |
| PublicationYear | 2024 |
| Publisher | ITMO University |
| Publisher_xml | – name: ITMO University |
| SSID | ssj0001700022 ssib026971427 |
| Score | 2.282722 |
| Snippet | Uncertain sedentary behavior has evolved as a new health concern in recent periods. Being inactive for long periods is a significant risk factor among all the... |
| SourceID | doaj crossref |
| SourceType | Open Website Index Database |
| StartPage | 1021 |
| SubjectTerms | временной ряд малоподвижное поведение многовариантность неопределенность полулежа точность частое поведение |
| Title | Sedentary behavior health outcomes and identifying the uncertain behavior patterns in adult |
| URI | https://doaj.org/article/3b1839de35ab4b239c538c14cc0a1019 |
| Volume | 23 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVAON databaseName: Directory of Open Access Journals (DOAJ) customDbUrl: eissn: 2500-0373 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001700022 issn: 2226-1494 databaseCode: DOA dateStart: 20010101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1LS8QwEA6yiOhBfOL6IgfxVnabpE1yVHHxtAjuYcFDSJMU1kN32Yfgv3cm6T5uXoTQQyClfJ12vg9mviHkQak8iLqwWVGxGgRKqTKUBZnyDO2_lBfBxWETcjhU47F-3xn1hTVhyR44AdfjFeZwH3hhK1Exrh18oi4XzvUthFNs3QPWsyOmIJJYqWUuWn_Lr2QSg9kKJ80B38hAFogD8oh_DODLZW-zmeE08QwW2nMyLPaK3HObsXaM_WMGGpyQ45Y60qf0yKdkLzRn5GjHUPCcfH4EbLy18x-67r-nqdORTldLCK6woLbxdBLbc2OLEwUGSCG5pdKA7bFZNN5sFhQ2o0nHBRkNXkcvb1k7PiFzTEgccmBz7jVXJS-FLx3rW9CgVkLKr7VyovDCaVeLirtaA8_TLLC6AqXNnPNlxS9Jp5k24YrQolC1FoFzWQPweaik9MALlWUCXkzIu0SuETKzZJJhUFwgtgaxNYitQWwNrMIgtnjRXfKMgG5Oodl13IAQMG0ImL9C4Po_bnJDDuH5RKpUuSWd5XwV7si--15OFvP7GF2_uPnLjg |
| linkProvider | Directory of Open Access Journals |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Sedentary+behavior+health+outcomes+and+identifying+the+uncertain+behavior+patterns+in+adult&rft.jtitle=Nauchno-tekhnicheski%C4%AD+vestnik+informat%CD%A1s%EF%B8%A1ionnykh+tekhnologi%C4%AD%2C+mekhaniki+i+optiki&rft.au=Shanmugam%2C+D.B.&rft.au=Dhilipan%2C+J.&rft.date=2024-12-01&rft.issn=2226-1494&rft.volume=23&rft.issue=5&rft.spage=1021&rft.epage=1029&rft_id=info:doi/10.17586%2F2226-1494-2023-23-5-1021-1029&rft.externalDBID=n%2Fa&rft.externalDocID=10_17586_2226_1494_2023_23_5_1021_1029 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2226-1494&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2226-1494&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2226-1494&client=summon |