Within the scope of the proposed application, a complex system based on fuzzy-neuron networks, specifically the ANFIS (Adaptive Neuro-Fuzzy Interference System) for adaptive suppression of unwanted background noises was created.
The additive noise significantly lowers the success of recognizing voice commands to control operating and technical functions of an intelligent building. This article describes the addition of a sophisticated system for filtering the additive background noise out of the voice communication with the control system. In the real environment of Smart Home Care, there are usually unwanted signals and additive noise that negatively affect the voice communication with the control system.
A sociological survey focused on the needs of seniors has been carried out to justify the implementation of voice control into Smart Home Care. Custom control over operating and technical functions was implemented into a model of Smart Home that was equipped with KNX technology. This article is aimed to describe the method of testing the implementation of voice control over operating and technical functions of Smart Home Come. We evaluate the performance of the proposed system in a dynamic environment and conduct a blind test with seven subjects to measure the satisfaction of service, resulting in the average score of 81.46. The smart home system needs to take account of the information, such as time, state of device and state of the home, in addition to users' intention. On the other hand, the proposed system consists of several modules that construct a hierarchical user intention model. The conventional rule-based approach needs to obtain all information before it is executed, which requires a large number of rules and is hardly scalable as the control objects are increasing. This paper proposes a smart home agent system based on a hierarchical hybrid architecture of a user intention model, which models the user intention as a hierarchical structure and implements it in a dynamic environment. An intelligent agent infers the user's intention and provides the intact service.
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