Speech operated smart-home control system for users with special needs

2005 ◽  
Author(s):  
A. Vovos ◽  
Basilis Kladis ◽  
Nikolaos Fakotakis
Keyword(s):  
Control System ◽  
Special Needs ◽  
Smart Home ◽  
Users With Special Needs

ANTON: Activity Recognition-Based Smart Home Control System

2021 ◽  
Vol 2 (6) ◽  
Author(s):  
Peng Zhao ◽  
Pushpendu Kar ◽  
Saeid Pourroostaei Ardakani
Keyword(s):  
Control System ◽  
Activity Recognition ◽  
Smart Home

scholarly journals Methodology for Ensuring a Comfortable Microclimate State in a Smart Home Using an Ensemble of Fuzzy Artificial Neural Networks

2021 ◽  
Vol 20 (6) ◽  
pp. 1418-1447
Author(s):  
Andrey Mozohin
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Control System ◽  
Physical Environment ◽  
Air Conditioning ◽  
Smart Home ◽  
Practical Implementation ◽  
Climate Control ◽  
Artificial Neural ◽  
Hybrid Neural Networks

Analysis of the application of smart home technology indicates an insufficient level of controllability of its infrastructure, which leads to excessive consumption of energy and information resources. The problem of managing the digital infrastructure of human living space, is associated with a large number of highly specialized solutions for home automation, which complicate the management process. Smart home is considered as a set of independent cyber-physical devices aimed at achieving its goal. For coordinated work of cyber-physical devices it is proposed to provide their joint work through a single information center. Simulation of device operation modes in a digital environment preserves the resource of physical devices by making a virtual calculation for all possible variants of interaction of devices between themselves and the physical environment. A methodology for controlling the microclimate of a smart home using an ensemble of fuzzy artificial neural networks is developed, with the example of joint use of air conditioning, ventilation and heating. The neural network algorithm allows you to monitor the parameters of the physical environment, predict the modes of cyber-physical devices and generate control signals for each of them, ensuring the joint operation of devices with minimal resource consumption and information traffic. A variant of practical implementation of a smart home climate control system on the example of a multifunctional educational computer class is proposed. Hybrid neural networks of air conditioning, ventilation and heating systems were developed. The testing of the microclimate control system of a multifunctional university classroom using hybrid neural networks was carried out, a programmable logic controller of domestic production was used as a control device. The goal of management based on cooperating cyber-physical devices is to achieve a minimum of power and information traffic when they work together.

Design of Smart Home Control System Based on STM32

2021 ◽  
Author(s):  
Biao Chen ◽  
Shihong Qin ◽  
Wan Wang ◽  
Yifan Ge
Keyword(s):  
Control System ◽  
Smart Home

Development of a Visualisation Software, Implemented with Comfort Smart Home Wireless Control System

2015 ◽  
pp. 581-589 ◽  
Author(s):  
Jan Vanus ◽  
Pavel Kucera ◽  
Jiri Koziorek ◽  
Zdenek Machacek ◽  
Radek Martinek
Keyword(s):  
Control System ◽  
Smart Home ◽  
Wireless Control

Maximizing Web Accessibility Through User-Centered Interface Design

2009 ◽  
pp. 2542-2555
Author(s):  
Soonhwa Seok
Keyword(s):  
User Interface ◽  
Special Needs ◽  
Interface Design ◽  
Web Design ◽  
Web Accessibility ◽  
Digital Inclusion ◽  
Modern Culture ◽  
Standards And Guidelines ◽  
The Relationship ◽  
Users With Special Needs

Digital inclusion and Web accessibility are integral parts of modern culture and, as such, have implications for social accountability. The World Wide Web Consortium (W3C) has suggested standards and guidelines regarding the inclusion of people with special needs, with an emphasis on higher accessibility and adaptability as the main goal of Web design. The user interface is the place where users can interact with the information by using their minds. Users with special needs can acquire information by using a human centered user interface. This article highlights the need to investigate the relationship between cognition and user interface.

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