A Dynamically-Reconfigurable FPGA Platform for Evolving Fuzzy Systems

Author(s):  
Grégory Mermoud ◽  
Andres Upegui ◽  
Carlos-Andres Peña ◽  
Eduardo Sanchez
2010 ◽  
Vol 20 (05) ◽  
pp. 355-364 ◽  
Author(s):  
JOSE ANTONIO IGLESIAS ◽  
PLAMEN ANGELOV ◽  
AGAPITO LEDEZMA ◽  
ARACELI SANCHIS

Environments equipped with intelligent sensors can be of much help if they can recognize the actions or activities of their users. If this activity recognition is done automatically, it can be very useful for different tasks such as future action prediction, remote health monitoring, or interventions. Although there are several approaches for recognizing activities, most of them do not consider the changes in how a human performs a specific activity. We present an automated approach to recognize daily activities from the sensor readings of an intelligent home environment. However, as the way to perform an activity is usually not fixed but it changes and evolves, we propose an activity recognition method based on Evolving Fuzzy Systems.


2008 ◽  
Vol 16 (6) ◽  
pp. 1390-1392 ◽  
Author(s):  
Plamen Angelov ◽  
Dimitar Filev ◽  
Nikola Kasabov

2011 ◽  
Vol 2 (3) ◽  
pp. 165-187 ◽  
Author(s):  
Edwin Lughofer ◽  
Jean-Luc Bouchot ◽  
Ammar Shaker

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