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A hardware/software embedded agent for real-time control of ambient-intelligence environments

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5 Author(s)
Inés del Campo ; Department of Electricity and Electronics, University of the Basque Country UPV/EHU, Leioa, Spain ; Ma Victoria Martínez ; Javier Echanobe ; Koldo Basterretxea
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This paper presents the development of an embedded intelligent agent able to perform real-time control of ambient-intelligence environments. The system has been implemented as a system-on-programmable chip (SoPC) on a field programmable gate array (FPGA). The scheme used for realizing the intelligent agent is an adaptive neuro-fuzzy system (NFS) enhanced with a principal component analysis (PCA) pre-processor. The PCA pre-processing stage allows a reduction of the input dimensions (features) with no meaningful loss of modeling capability. As a consequence, the computational complexity of the system is significantly reduced, allowing its implementation on a single electronic device. The NFS-PCA agent has been tested with data obtained in a real ubiquitous computing environment test bed. Results obtained show that the agent is able to perform real-time control of the environment in a proactive and non-intrusive way, and also to adapt to changes of user's preferences in a life-long mode.

Published in:

Fuzzy Systems (FUZZ-IEEE), 2012 IEEE International Conference on

Date of Conference:

10-15 June 2012