PhD

| 2022

Detecting and Assessing Older Adults’ Stressful Interactions with the Built Environment: An Elderly-Centric and Wearable Sensing-Based Approach

Globally, one in six people is expected to age 65 years by 2050. Not only is the global population ageing, but also the built environment infrastructure in many cities and communities are approaching their design life. This phenomenon is referred to as “double ageing”. Ageing built environment infrastructure with defects are likely to result in environmental barriers with excessive demands; humans experience stress and/or their mobility is limited when the environmental demands exceed their functional capability. Given that human’s functional capability declines with ageing, there is more likelihood for older adults to experience stressful environmental interactions that could limit their mobility than the average person. Current approaches to detect environmental barriers are inefficient, time-consuming, and costly, which may limit the frequency and scope of the built environment assessment. In order to promote active ageing in cities and communities, urban planners and municipal decision-makers need a more efficient approach to assess and detect excessively demanding environmental conditions. The aim of this research is to promote older adults’ mobility by reducing environmental demands. The overall goal of this research is in two folds: (1) to enable practitioners to detect stressful older adults-environment interactions in near real-time and (2) to bring to the limelight the influence of urban environment configurations on older adults’ stress response. To achieve this goal, this research harnessed the current advances in wearable sensing technologies to collect older adults’ bodily responses (i.e., physiological, behavioural, and cognitive responses) to their interaction with the environment as a means of assessing and detecting environmental barriers.
Specifically, a methodological framework was developed for researchers and practitioners to determine the relevance and informativeness of people’s bodily responses in the context of their study. Based on this framework, it was identified that older adults’ physiological response is more informative than the cognitive and behavioural responses. The informativeness of the cognitive response was affected by the walking activity, and the gait abnormality among older adults affected their behavioural responses. A statistical, spatial and space-time pattern mining was conducted to understand the relationships in older adults’ physiological responses to the built environment. The results demonstrate that the relationships between older adults’ physiological response and the environmental condition are less apparent at the individual level. However, using collective sensing (i.e., aggregating multiple participants’ physiological responses) can accommodate the individual variability and capture any normality in the data, which is indicative of an environment’s condition. An optimised environmental stress hot spot detection framework was developed using an Ensemble bagged tree algorithm that achieved 98% accuracy. A simulation-based approach was used to examine areas within the study area that are sufficiently powered to detect stress hot spots that pose high risk to older adults. The results demonstrate that urban planners and municipal decision-makers can use this approach to detect and alleviate stressful environmental conditions more efficiently; as a result, improving older adult’s mobility in the built environment. An integrated methodology based on machine learning and an evolutionary rule-based system was developed to further understand the influence of visuospatial configurations (specifically, isovist indicators) of urban space on older adults’ physiological stress. The results demonstrate that isovist minimum visibility, occlusivity and isovist area are the most influential determinants of older adults’ physiological stress and non-stress response. Older adults prefer urban configurations where they can be seen. The generated visuospatial configurations can be used to inform urban design
and planning.

Keywords

elderly, wearables,

Author/s

Alex Torku

Institution / Department

The Hong Kong Polytechnic University, Department of Building and Real Estate

Upcoming Events
Du brauchst Unterstützung?
Du möchtest eine Demo?
Interessiert an Preisen?
Du hast Fragen?
Nur einen Anruf entfernt
+49 89 2000 301 60

Kabellose Datenübertragung


Die kabellose Datenübertragung über Funk von den OpenGo Sensorsohlen zum Smartphone oder Tablet verwendet eine intelligente bidirektionale Protokoll-Technologie, um den Verlust von Datenpaketen zu vermeiden - selbst wenn die Verbindungsqualität unter 100 % liegt.

Die typische Funkreichweite der Bluetooth Low Energy Funkverbindung beträgt in Innenräumen ≥ 10 m, in Außenbereichen bis zu 20 m.

Supportanfrage

Finde Antworten zu den häufigsten Fragen in unseren FAQ


Beschreibe Dein Problem so detailliert wie möglich. Hänge Screenshots oder Daten an, sofern das hilfreich ist.


Du möchtest eine Anfrage stellen?

Schreibe uns eine Nachricht zu allgemeinen Fragen über Produkte oder zu anwendungsbezogenen Themen, die Du besprechen möchtest.


Select your desired system

moticon-rego-logo

Das beste Test basierte Bewegungsanalysesystem für Trainer und professionelle Anwender im Gesundheitswesen

opengo-logo-orange

Das flexibelste System zur freien Datenaufzeichnung und für fortgeschrittene Analysen in der Forschung

Select your desired system

moticon-rego-logo

Das beste Test basierte Bewegungsanalysesystem für Trainer und professionelle Anwender im Gesundheitswesen

opengo-logo-orange

Das flexibelste System zur freien Datenaufzeichnung und für fortgeschrittene Analysen in der Forschung

The form was sent successfully.

You will be contacted shortly.

Individuelles Angebot erhalten

Gib für das Angebot bitte die Stückzahl an Sensorsohlen, die benötigten Softwarelizenzen und andere Produkte an. Die Größen der Sensorsohlen können erst bei Auftragserteilung festgelegt werden (nicht relevant für das Angebot).

A problem was detected in the following Form. Submitting it could result in errors. Please contact the site administrator.

Artikel

Anzahl

ReGo App

Mehr dazu >

kostenfrei

ReGo Sensorsohlen

1 Paar - Gleicher Preis für alle Größen

Mehr dazu >

ReGo Zubehör

Mehr dazu >

Produkttasche

Für 6 Paar Sensorsohlen

Individuelles Angebot erhalten

Gib für das Angebot bitte die Stückzahl an Sensorsohlen, die benötigten Softwarelizenzen und andere Produkte an. Die Größen der Sensorsohlen können erst bei Auftragserteilung festgelegt werden (nicht relevant für das Angebot).

A problem was detected in the following Form. Submitting it could result in errors. Please contact the site administrator.

Artikel

Anzahl

OpenGo App

Mehr dazu >

kostenfrei

OpenGo Sensorsohlen

1 Paar - Gleicher Preis für alle Größen

Mehr dazu >

OpenGo Software

Mehr dazu >

BASIC Module

ANALYZE Module

VIDEO Module

GAIT Module

BALANCE Module

JUMP Module

OpenGo Zubehör

Mehr dazu >

Knopfzellenbatterien

1 pair for 1 pair of sensor insoles

Knopfzellenladegerät

Batteriedeckel

For sensor insole

Produkttasche

Für 6 Paar Sensorsohlen

Knopfzellen-Etui

For 20 pairs of coin cells

Sensor Insoles Sack

For 1 pair of sensor insoles