Remote monitoring and fall detection: Multiplatform Java based mobile applications

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Abstract

Life quality of dependent persons is associated with personal autonomy and mobility, between others parameters. But the development of mobile applications for autonomy support is a challenging activity. Some of the challenges are the diversity of target platforms (including display sizes, keypads or tactile screens variations in each platform), and the limits in memory size, processing resources, battery duration, etc. For these reasons, a software product line (SPL) approach can provide a considerable advantage in mobile application development. This article presents a SPL that makes possible the remote monitoring of dependent people to facilitate their autonomy. Wireless sensors allow real-time information such as heart rate or oxygen saturation level to be controlled. Risk situations, including fall detection, critical in elderly persons who live alone, can also be detected. In the SPL approach, only the required features are incorporated in each concrete product (avoiding the device overload with a resource-costly extensive solution). The article presents an Android/Symbian based SPL architecture, using Bluetooth wireless sensors connected to a Smartphone. The mobile system is able to detect alarm situations and is remotely connected to a central system, aimed for its use in elderly residences. © 2011 Springer-Verlag.

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APA

Laguna, M. A., & Finat, J. (2011). Remote monitoring and fall detection: Multiplatform Java based mobile applications. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6693 LNCS, pp. 1–8). https://doi.org/10.1007/978-3-642-21303-8_1

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