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2014 | OriginalPaper | Chapter

Actions in Context: System for People with Dementia

Authors : Àlex Pardo, Albert Clapés, Sergio Escalera, Oriol Pujol

Published in: Citizen in Sensor Networks

Publisher: Springer International Publishing

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Abstract

In the next forty years, the number of people living with dementia is expected to triple. In the last stages, people affected by this disease become dependent. This hinders the autonomy of the patient and has a huge social impact in time, money and effort. Given this scenario, we propose an ubiquitous system capable of recognizing daily specific actions. The system fuses and synchronizes data obtained from two complementary modalities - ambient and egocentric. The ambient approach consists in a fixed RGB-Depth camera for user and object recognition and user-object interaction, whereas the egocentric point of view is given by a personal area network (PAN) formed by a few wearable sensors and a smartphone, used for gesture recognition. The system processes multi-modal data in real-time, performing paralleled task recognition and modality synchronization, showing high performance recognizing subjects, objects, and interactions, showing its reliability to be applied in real case scenarios.

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Footnotes
1
Note that due to the enrichment given by range data a single Gaussian model suffices for modeling background. Very small improvements have been observed using Gaussian Mixture Models in the studied environments.
 
2
The extension to a small set of gestures of interest can be easily achieved without a significant loss in performance [11].
 
3
Notice that the drinking action is not detected because the system is sensitive to the hand orientation.
 
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Metadata
Title
Actions in Context: System for People with Dementia
Authors
Àlex Pardo
Albert Clapés
Sergio Escalera
Oriol Pujol
Copyright Year
2014
Book
Citizen in Sensor Networks

Print ISBN: 978-3-319-04177-3

Electronic ISBN: 978-3-319-04178-0

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-3-319-04178-0_1

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