A fuzzy embedded agent-based approach for realizing ambient intelligence in intelligent inhabited environments

By F. Doctor, Hani Hagras, V. Callaghan. IEEE transactions on systems, man and cybernetics. Part A. Systems and humans, 2005

300 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Wireless Architectures for Heterogeneous Sensing in Smart Home Applications: Concepts and Real Implementation (2013, background): “…[50]–[52] is not only the capability to measure, control, and interconnect an unlimited number of sensors and actuators according to input commands, but also how to understand the habits and the behavior of inhabitants in order to properly react to their needs, state of mind, or desires [53]–[55].”
Assessing the Quality of Activities in a Smart Environment (2009, background): “There is a growing interest in designing smart environments that reason about residents [3,4], provide health assistance [5], and perform activity recognition [6,7,8].”
How smart are our environments? An updated look at the state of the art (2007, unknown): “[20] focuses on automating a living environment.”
Keeping the Resident in the Loop: Adapting the Smart Home to the User (2009, methodology): “To achieve intelligent behaviors in smart-home applications, various computational intelligence techniques have been proposed to support the creation of smart homes, including neural networks [6], fuzzy logic [7], hierarchical task network planning [8], hidden Markov models [9], and Bayesian network”