Electronic Spatial Assistance for People with Dementia: Choosing the Right Device

Schneider, Cornelia; Henneberger, S.

doi:10.3390/technologies2020096

Cited by 3 publications

(2 citation statements)

References 20 publications

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“…Der Auswahlprozess gliederte sich in die drei aufeinanderfolgenden Phasen i) Marktanalyse, ii) Expert*innen-Konsultation und iii) Endanwender*innen-Einbindung. Die Kombination von technischen und nutzer*innenbezogenen Kriterien wurde bereits erfolgreich bei der Auswahl anderer technischer Geräte im Bereich AAL angewandt (Schneider & Henneberger, 2014).…”

Section: Methodeunclassified

Digitale Unterstützung für junge Senior*innen: Auswahlkriterien für einen sozialen Roboter

Abseher

Igerc

Schneider

2022

Aktives Altern Im Digitalen Zeitalter

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ZusammenfassungIn den nächsten Jahren gehen geburtenstarke Jahrgänge in Pension. Dadurch steigt der Bedarf an alters- und bedarfsgerechten digitalen Lösungen für diese mittlerweile technikvertrautere Zielgruppe. Soziale Roboter bieten hier eine Möglichkeit der digitalen Unterstützung. Dieser Beitrag beschäftigt sich mit einem Kriterienkatalog, der eine systematische Auswahl von sozialen Robotern ermöglicht.

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Section: Methodeunclassified

Digitale Unterstützung für junge Senior*innen: Auswahlkriterien für einen sozialen Roboter

Abseher

Igerc

Schneider

2022

Aktives Altern Im Digitalen Zeitalter

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“…Additionally, the domain/application need to be considered. Some mobile services, for instance in the AAL domain, require long battery life between 12 and 18 h. Moreover, shape, size and weight of the device are essential [31]. Consequently, lower sampling rates are used and/or recording devices are automatically switched off, if a standstill is detected.…”

Section: Pre-selectionmentioning

confidence: 99%

A Framework for Evaluating Stay Detection Approaches

Schneider

Gröchenig

Venek

et al. 2017

IJGI

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Abstract:In recent years, sensors of mobile devices are increasingly used in the research field of Active and Assisted Living (AAL), in particular, for movement analysis. Questions, such as where users typically stay (and for how long), where they have been or where they will most likely be going to, are of utmost importance for implementing smart AAL services. Due to the plethora of application scenarios and varying requirements, the challenge is the identification of an appropriate stay detection approach. Thus, this paper presents a comprehensive framework covering the entire process from data acquisition, pre-processing, parameterization to evaluation so that it can be applied to evaluate various stay detection methods. Additionally, ground truth data as well as application field data are used within the framework. The framework has been validated with three different spatio-temporal clustering approaches (time-based/incremental clustering, extended density based clustering, and a mixed method approach). Using the framework with ground truth data and data from the AAL field, it can be concluded that the time-based/incremental clustering approach is most suitable for this type of AAL applications. Furthermore, using two different datasets has proven successful as it provides additional data for selecting the appropriate method. Finally, the way the framework is designed it might be applied to other domains such as transportation, mobility, or tourism by adapting the pre-selection criteria.

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Systematic review of best practices for GPS data usage, processing, and linkage in health, exposure science and environmental context research

Pearson,

Tribby,

Brown

et al. 2024

BMJ Open

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Global Positioning System (GPS) technology is increasingly used in health research to capture individual mobility and contextual and environmental exposures. However, the tools, techniques and decisions for using GPS data vary from study to study, making comparisons and reproducibility challenging.ObjectivesThe objectives of this systematic review were to (1) identify best practices for GPS data collection and processing; (2) quantify reporting of best practices in published studies; and (3) discuss examples found in reviewed manuscripts that future researchers may employ for reporting GPS data usage, processing and linkage of GPS data in health studies.DesignA systematic review.Data sourcesElectronic databases searched (24 October 2023) were PubMed, Scopus and Web of Science (PROSPERO ID: CRD42022322166).Eligibility criteriaIncluded peer-reviewed studies published in English met at least one of the criteria: (1) protocols involving GPS for exposure/context and human health research purposes and containing empirical data; (2) linkage of GPS data to other data intended for research on contextual influences on health; (3) associations between GPS-measured mobility or exposures and health; (4) derived variable methods using GPS data in health research; or (5) comparison of GPS tracking with other methods (eg, travel diary).Data extraction and synthesisWe examined 157 manuscripts for reporting of best practices including wear time, sampling frequency, data validity, noise/signal loss and data linkage to assess risk of bias.ResultsWe found that 6% of the studies did not disclose the GPS device model used, only 12.1% reported the per cent of GPS data lost by signal loss, only 15.7% reported the per cent of GPS data considered to be noise and only 68.2% reported the inclusion criteria for their data.ConclusionsOur recommendations for reporting on GPS usage, processing and linkage may be transferrable to other geospatial devices, with the hope of promoting transparency and reproducibility in this research.PROSPERO registration numberCRD42022322166.

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Electronic Spatial Assistance for People with Dementia: Choosing the Right Device

Cited by 3 publications

References 20 publications

Digitale Unterstützung für junge Senior*innen: Auswahlkriterien für einen sozialen Roboter

Digitale Unterstützung für junge Senior*innen: Auswahlkriterien für einen sozialen Roboter

A Framework for Evaluating Stay Detection Approaches

Systematic review of best practices for GPS data usage, processing, and linkage in health, exposure science and environmental context research

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