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2020 | OriginalPaper | Chapter

A Review on the Artificial Intelligence Algorithms for the Recognition of Activities of Daily Living Using Sensors in Mobile Devices

Authors : Ivan Miguel Pires, Gonçalo Marques, Nuno M. Garcia, Nuno Pombo, Francisco Flórez-Revuelta, Eftim Zdravevski, Susanna Spinsante

Published in: Handbook of Wireless Sensor Networks: Issues and Challenges in Current Scenario's

Publisher: Springer International Publishing

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Abstract

Smart environments and mobile devices are two technologies that when combined may allow the recognition of Activities of Daily Living (ADL) and its environments. This paper focuses on the literature review of the existing machine learning methods for the recognition of ADL and its environments, by means of comparison jointly with a proposal of a novel taxonomy in this context. The sensors used for this purpose depends on the nature of the system and the ADL to recognize. The available in the mobile devices are mainly motion, magnetic and location sensors, but the sensors available in the smart environments may have different types. Data acquired from several sensors can be used for the identification of ADL, where the motion, magnetic and location sensors handle the recognition of activities with movement, and the acoustic sensors handle the recognition of activities related with the environment.

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Title: A Review on the Artificial Intelligence Algorithms for the Recognition of Activities of Daily Living Using Sensors in Mobile Devices
Authors: Ivan Miguel Pires
Gonçalo Marques
Nuno M. Garcia
Nuno Pombo
Francisco Flórez-Revuelta
Eftim Zdravevski
Susanna Spinsante
Publisher: Springer International Publishing
Book: Handbook of Wireless Sensor Networks: Issues and Challenges in Current Scenario's
Print ISBN: 978-3-030-40304-1

Electronic ISBN: 978-3-030-40305-8

Copyright Year: 2020
DOI: https://doi.org/10.1007/978-3-030-40305-8_33

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