Sensors 2016, 16(2), 184; https://doi.org/10.3390/s16020184
From Data Acquisition to Data Fusion: A Comprehensive Review and a Roadmap for the Identification of Activities of Daily Living Using Mobile Devices
1
Instituto de Telecomunicações, University of Beira Interior, 6201-001 Covilhã, Portugal
2
Altranportugal, 1990-096 Lisbon, Portugal
3
ALLab - Assisted Living Computing and Telecommunications Laboratory, Department of Informatics, University of Beira Interior, 6201-001 Covilhã, Portugal
4
ECATI, Universidade Lusófona de Humanidades e Tecnologias, 1749-024 Lisbon, Portugal
5
Faculty of Science, Engineering and Computing, Kingston University, Kingston upon Thames KT1 2EE, UK
*
Author to whom correspondence should be addressed.
Academic Editor: Vittorio M. N. Passaro
Received: 21 November 2015 / Revised: 22 January 2016 / Accepted: 26 January 2016 / Published: 2 February 2016
(This article belongs to the Section Physical Sensors)
Abstract
This paper focuses on the research on the state of the art for sensor fusion techniques, applied to the sensors embedded in mobile devices, as a means to help identify the mobile device user’s daily activities. Sensor data fusion techniques are used to consolidate the data collected from several sensors, increasing the reliability of the algorithms for the identification of the different activities. However, mobile devices have several constraints, e.g., low memory, low battery life and low processing power, and some data fusion techniques are not suited to this scenario. The main purpose of this paper is to present an overview of the state of the art to identify examples of sensor data fusion techniques that can be applied to the sensors available in mobile devices aiming to identify activities of daily living (ADLs). View Full-TextKeywords:
sensor data fusion; accelerometer; data collection; signal processing; sensors signal; activities of daily living
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Pires, I.M.; Garcia, N.M.; Pombo, N.; Flórez-Revuelta, F. From Data Acquisition to Data Fusion: A Comprehensive Review and a Roadmap for the Identification of Activities of Daily Living Using Mobile Devices. Sensors 2016, 16, 184.
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