From data acquisition to data fusion: a comprehensive review and a roadmap for the identification of activities of daily living using mobile devices

Ivan Miguel Pires; Nuno M. Garcia; Nuno Pombo; Francisco Florez-Revuelta

doi: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

Ivan Miguel Pires
, Nuno M. Garcia
, Nuno Pombo
, Francisco Florez-Revuelta

Research output: Contribution to journal › Article › peer-review

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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).

Original language	English
Article number	184
Journal	Sensors
Volume	16
Issue number	2
DOIs	https://doi.org/10.3390/s16020184
Publication status	Published - Feb 2016
Externally published	Yes

Bibliographical note

Note: This work was supported by the FCT project UID/EEA/50008/2013 (Este trabalho foi suportado pelo projecto FCT UID/EEA/50008/2013). The authors would also like to acknowledge the contribution of the COST Action IC1303-AAPELE - Architectures, Algorithms and Protocols for Enhanced Living Environments

Keywords

Computer science and informatics
accelerometer
activities of daily living
data collection
sensor data fusion
sensors signal
signal processing

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10.3390/s16020184

Florez-Revuelta-F-34109-VoRFinal published version, 414 KBLicence: CC BY

http://dx.doi.org/10.3390/s16020184

Cite this

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title = "From data acquisition to data fusion: a comprehensive review and a roadmap for the identification of activities of daily living using mobile devices",

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).",

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note = "Note: This work was supported by the FCT project UID/EEA/50008/2013 (Este trabalho foi suportado pelo projecto FCT UID/EEA/50008/2013). The authors would also like to acknowledge the contribution of the COST Action IC1303-AAPELE - Architectures, Algorithms and Protocols for Enhanced Living Environments",

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doi = "10.3390/s16020184",

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AU - Garcia, Nuno M.

AU - Pombo, Nuno

AU - Florez-Revuelta, Francisco

N1 - Note: This work was supported by the FCT project UID/EEA/50008/2013 (Este trabalho foi suportado pelo projecto FCT UID/EEA/50008/2013). The authors would also like to acknowledge the contribution of the COST Action IC1303-AAPELE - Architectures, Algorithms and Protocols for Enhanced Living Environments

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AB - 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).

KW - Computer science and informatics

KW - accelerometer

KW - activities of daily living

KW - data collection

KW - sensor data fusion

KW - sensors signal

KW - signal processing

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JO - Sensors

JF - Sensors

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ER -

From data acquisition to data fusion: a comprehensive review and a roadmap for the identification of activities of daily living using mobile devices

Abstract

Bibliographical note

Keywords

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