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Authors: Sebastian D. Bersch ; Djamel Azzi and Rinat Khusainov

Affiliation: University of Portsmouth, United Kingdom

ISBN: 978-989-8425-83-6

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.

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Paper citation in several formats:
D. Bersch, S.; Azzi, D. and Khusainov, R. (2011). FALL DETECTION USING BIOLOGIALLY INSPIRED MONITORING - Artificial Immune System in the Area of Assisted Living.In Proceedings of the International Conference on Evolutionary Computation Theory and Applications - Volume 1: ECTA, (IJCCI 2011) ISBN 978-989-8425-83-6, pages 320-323. DOI: 10.5220/0003674803200323

@conference{ecta11,
author={Sebastian D. Bersch. and Djamel Azzi. and Rinat Khusainov.},
title={FALL DETECTION USING BIOLOGIALLY INSPIRED MONITORING - Artificial Immune System in the Area of Assisted Living},
booktitle={Proceedings of the International Conference on Evolutionary Computation Theory and Applications - Volume 1: ECTA, (IJCCI 2011)},
year={2011},
pages={320-323},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003674803200323},
isbn={978-989-8425-83-6},
}

TY - CONF

JO - Proceedings of the International Conference on Evolutionary Computation Theory and Applications - Volume 1: ECTA, (IJCCI 2011)
TI - FALL DETECTION USING BIOLOGIALLY INSPIRED MONITORING - Artificial Immune System in the Area of Assisted Living
SN - 978-989-8425-83-6
AU - D. Bersch, S.
AU - Azzi, D.
AU - Khusainov, R.
PY - 2011
SP - 320
EP - 323
DO - 10.5220/0003674803200323

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