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. 2023 Feb 1;23(3):1602.
doi: 10.3390/s23031602.

The Problem of Monitoring the Psycho-Physical Condition of Seniors during Proposed Activities in Urban Space

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The Problem of Monitoring the Psycho-Physical Condition of Seniors during Proposed Activities in Urban Space

Ewa Lach et al. Sensors (Basel). .

Abstract

The world's population is rapidly ageing, which places a heavy burden on traditional healthcare systems with increased economic and social costs. Technology can assist in the implementation of strategies that enable active and independent ageing by promoting and motivating health-related behaviours, monitoring, and collecting data on daily life for assessment and for aiding in independent living. ICT (Information and Communication Technology) tools can help prevent cognitive and physical decline and social isolation, and enable elderly people to live independently. In this paper, we introduced a comprehensive tool for guiding seniors along the designed urban health paths employing urban architecture as an impulse to perform physical and cognitive exercises. The behaviour of seniors is monitored during their activities using wearable sensors and mobile application. We distinguished three types of data recipients (seniors, path/exercise designers, and the public), for whom we proposed methods of analysing the obtained data and examples of their use. In this work, a wide range of diverse information was examined from which short- and long-term patterns can be drawn. We have also shown that by fusing sensory data and data from mobile applications, we can give context to sensory data, thanks to which we can formulate more insightful assessments of seniors' behaviour.

Keywords: active ageing; active urban space; elderly; mobile application; monitoring; wearable sensors.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Screenshots from the mobile application Urban Health Path: (a) Main window, (b) Path window (an example), (c) Waypoint window (an example).
Figure 2
Figure 2
Example of heart rate statistics.
Figure 3
Figure 3
The distance between the senior’s location and the waypoint for the Skwer Rzezniczy waypoint on the Gliwice Downtown Path (source: Google Maps/Google Earth, 2022).
Figure 4
Figure 4
The frequency of generation of sensory data of the smartwatch (Samsung Galaxy Watch 4) received by smartphone (Samsung Galaxy S20+ with Android 12).
Figure 5
Figure 5
The frequency of data recording in the mobile application Urban Health Path.

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