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.
['Sebastian D. Bersch', 'Djamel Azzi', 'Rinat Khusainov']
FALL DETECTION USING BIOLOGIALLY INSPIRED MONITORING - Artificial Immune System in the Area of Assisted Living