Preprint Article Version 1 This version not peer reviewed

Approach for the Development of a Framework for the Identification of Activities of Daily Living Using Mobile Devices’ Sensors

Version 1 : Received: 7 January 2018 / Approved: 8 January 2018 / Online: 8 January 2018 (11:34:36 CET)

A peer-reviewed article of this Preprint also exists.

Pires, I.M.; Garcia, N.M.; Pombo, N.; Flórez-Revuelta, F.; Spinsante, S. Approach for the Development of a Framework for the Identification of Activities of Daily Living Using Sensors in Mobile Devices. Sensors 2018, 18, 640. Pires, I.M.; Garcia, N.M.; Pombo, N.; Flórez-Revuelta, F.; Spinsante, S. Approach for the Development of a Framework for the Identification of Activities of Daily Living Using Sensors in Mobile Devices. Sensors 2018, 18, 640.

Journal reference: Sensors 2018, 18, 640
DOI: 10.3390/s18020640

Abstract

Sensors available on mobile devices allow the automatic identification of Activities of Daily Living (ADL). This paper describes an approach for the creation of a framework for the identification of ADL, taking in account several concepts, including data acquisition, data processing, data fusion, pattern recognition, and machine learning. These concepts can be mapped in a module of the framework, including the use and creation of several algorithms. For the development of a framework that works in several conditions, e.g., without Internet connection, these algorithms should take in account the hardware and software limitations of the mobile devices to run all main tasks locally. The main purpose of this paper is related to the presentation the sensors, algorithms, and architecture of the proposed approach.

Subject Areas

Activities of Daily Living (ADL); environment; sensors; mobile devices, framework; data acquisition; data processing; data fusion; pattern recognition; machine learning

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