AIAA 2015 - Special Session on Artificial Intelligence for Ambient Assisted Living

In Europe and in most of the world, the aging population represents a significant part of the society that should not be ignored due to the significant experience that this population has as well as the precious richness of information and wisdom. This aging population requires special care services that could present challenges to the government’s finances. However, with the presence of technology and ambient assisted living will provide methods for taking care of this important population and create commercial opportunities. Ambient assisted living will create smart spaces and intelligent systems which can help the independence and executive function, social communication as well as the security of people with special needs. This special session on the use of artificial intelligence techniques and the concept of Ambient Assisted Living (AAL) to support aging and special needs people daily living by allowing independency using simple systems such as reminder systems as well as sophisticated smart environments. A smart home can monitor and assist a person with through the use of integrating sensors embedded in the environment that can extract information pertaining to the person’s health and well-being. The aim of this special session is how to deal with this information using artificial intelligence techniques. Various topics will include but are not limited to:
E-healthcare, telemedicine and tele-monitoring for ambient assisted living Communications
Healthcare information processing for ambient assisted living communications
Medical imaging processing in ambient assisted living communications
Human behaviour understanding
Human activity recognition
Interaction with the smart home (wearable, gesture recognition, affective computing)
Security, Privacy, Acceptance
Various artificial intelligence techniques can be used for the analysis and pattern recognition of the data which include, but are not limited to:
Neural Networks which included feedforeword and recurrent neural networks
Genetic algorithms
Decision trees and rule based techniques
Machine learning
Statistics