Authors:
Sebastian D. Bersch
;
Djamel Azzi
and
Rinat Khusainov
Affiliation:
University of Portsmouth, United Kingdom
Keyword(s):
Artificial Immune System, AIS, Fall Detection, Health Monitoring, Wellbeing, Accelerometer.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Cognitive Systems
;
Computational Intelligence
;
Evolutionary Computing
;
Genetic Algorithms
;
Informatics in Control, Automation and Robotics
;
Intelligent Control Systems and Optimization
;
Knowledge Discovery and Information Retrieval
;
Knowledge-Based Systems
;
Machine Learning
;
Soft Computing
;
Symbolic Systems
Abstract:
This position paper supports the use of Artificial Immune System (AIS) in the area of Ambient Assisted Living (AAL). While AIS has been used for anomaly detection and classification in a wide range of applications, little work has been done on using AIS for detecting abnormal behaviour in health monitoring applications. In this paper, we propose to use AIS for fall detection, since falls can be seen as deviations from the normal behaviour. We justify our proposal by analysing research that has been carried out in the past using AIS in different fields and emphasising on the similarities to the area of AAL. The paper also describes the experimental setup that is currently being used for our current and future work.