Wearable Sensing and Mining of the Informativeness of Older Adults' Physiological, Behavioral, and Cognitive Responses to Detect Demanding Environmental Conditions.
Due to the decline in functional capability, older adults are more likely to encounter excessively demanding environmental conditions (that result in stress and/or mobility limitation) than the average person. Current efforts to detect such environmental conditions are inefficient and are not person...
| Publicado en: | Environment & Behavior Vol. 54; no. 6; pp. 1005 - 1058 |
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| Autores principales: | , , , , |
| Formato: | Artículo |
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Sage Publications Inc.
Jul2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=158511949&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 158511949 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00139165 EBH jtl: Environment & Behavior issn: 00139165 maglogo: Y pubinfo: dt: Jul2022 vid: 54 iid: 6 pid: 344 pub: Sage Publications Inc. artinfo: ui: 158511949 10.1177/00139165221114894 ppf: 1005 ppct: 53 formats: tig: atl: Wearable Sensing and Mining of the Informativeness of Older Adults' Physiological, Behavioral, and Cognitive Responses to Detect Demanding Environmental Conditions. aug: au: Torku, Alex Chan, Albert P. C. Yung, Esther H. K. Seo, JoonOh Antwi-Afari, Maxwell F. affil: Kingston University London, Kingston upon Thames, UK The Hong Kong Polytechnic University, Hung Hom, Hong Kong Aston University, Birmingham, UK su: Older people Random forest algorithms Location data Mines & mineral resources Wearable technology sug: subj: Older people Site Preparation Contractors Remediation Services Random forest algorithms Location data Mines & mineral resources Wearable technology keyword: bodily response environmental demand information mining older adult wearable sensing bodily response environmental demand information mining older adult wearable sensing ab: Due to the decline in functional capability, older adults are more likely to encounter excessively demanding environmental conditions (that result in stress and/or mobility limitation) than the average person. Current efforts to detect such environmental conditions are inefficient and are not person-centered. This study presents a more efficient and person-centered approach that involves using wearable sensors to collect continuous bodily responses (i.e., electroencephalography, photoplethysmography, electrodermal activity, and gait) and location data from older adults to detect demanding environmental conditions. Computationally, this study developed a Random Forest algorithm—considering the informativeness of the bodily response—and a hot spot analysis-based approach to identify environmental locations with high demand. The approach was tested on data collected from 10 older adults during an outdoor environmental walk. The findings demonstrate that the proposed approach can detect demanding environmental conditions that are likely to result in stress and/or limited mobility for older adults. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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