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Smart Home deployment remains within the early adopter phase. In spite of relatively moderate penetration of the patronage and healthcare functionality in the already installed devices, this feature is considered as one of the highest potential drivers for Smart Home deployment. We suggest the complex approach for medical assistance based on Smart Home usage. We propose also how to organize the human...
Smart Home products spread is restrained due to several reasons including poor usability and fears of the personal data security [1,2]. Our research team suggested Smart Home solutions based on the user behavior analysis and modeling [3]. We also studied application of this approach to different householder needs (like healthcare or imitation of the user's presence [4]). We showed that the approach...
Smart Home spread is relatively low due to need of investments, usability issues and fears of the personal data security. To resolve these problems we suggest the reference model for the software responsible for analysis of Smart Home user behavior and simulation of the user's activities in automatic mode.
Usability of Smart Home solutions is especially important for healthcare applications. It requires an effective enough, cheap, flexible, and easy implemented algorithms. Such “light” algorithm previously developed for predicting of TV viewer activities or Smart Home user needs could be easily adapted to healthcare goals.
Modern Smart Home solutions can be generally classified as sensor-based or user-directive based. Prediction of the User Behavior is a very promising approach because it improves usability of Smart Home devices critical for their future expansion. It requires an effective enough, cheap, flexible, and easy implemented algorithms. Such “light” algorithms previously developed for predicting of TV viewer...
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