A survey of Ambient Assisted Living systems: Challenges and opportunities
Date Issued
2016-09-08
Author(s)
Dimitrievski, Ace
Trajkovikj, Vladmir
Abstract
As the research in Ambient Assisted Living (AAL)
matures, we expect that data generated from AAL IoT devices
will benefit from analysis by well established machine learning
techniques. There is also potential that new research in ML and
Artificial Intelligence (AI) can be used on data generated from
the sensors used in AAL. In this paper we present a survey of
the research in the related topics, identify its shortcomings and
propose future work that will integrate these fields by collecting
ambient sensor data and process the data by ML framework
which can detect and classify activities.
