Recognizing Physical Activity of Older People from Wearable Sensors and Inconsistent Data

Recognizing Physical Activity of Older People from Wearable Sensors and Inconsistent Data

The physiological monitoring of older people using wearable sensors has shown great potential in improving their quality of life and preventing undesired events related to their health status. Nevertheless, creating robust predictive models from data collected unobtrusively in home environments can...

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Bibliographic Details
Main Authors: Aimilia Papagiannaki, Evangelia I. Zacharaki, Gerasimos Kalouris, Spyridon Kalogiannis, Konstantinos Deltouzos, John Ellul, Vasileios Megalooikonomou
Format: Article
Language:English
Published: MDPI AG 2019-02-01
Series:Sensors
Subjects:
activity recognition
support vector machine (SVM) classification
deep learning
convolutional neural networks
wearable devices
physiological monitoring
Online Access:https://www.mdpi.com/1424-8220/19/4/880

Internet

https://www.mdpi.com/1424-8220/19/4/880

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