Modeling Eating Disorders of Cognitive Impaired People

  • Antonio Coronato
  • Giuseppe De Pietro
  • Juan Carlos Augusto
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 182)


Millions of people all around the world suffer from eating disorders, known as anorexia nervosa, bulimia nervosa, pica, and others. When eating disorders coexist with other mental health disorders, eating disorders often go undiagnosed and untreated; a low number of sufferers obtain treatment for the eating disorder. Unfortunately, eating disorders have also the highest mortality rate of any mental illness, upwards of 20%. This paper focuses on monitoring eating disorders of cognitive impaired people as patients with the Alzheimer’s disease. The proposed approach relies on the application of Ambient Intelligence (AmI) technologies and a new method for the detection of abnormal human behaviors in a controlled environment.


Anorexia Nervosa Eating Disorder Bulimia Nervosa Ambient Intelligence Situation Calculus 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    National Institute of Mental Health: A detailed booklet that describes the symptoms, causes, and treatments of eating disorders,
  2. 2.
    Yafu Zhao, W.E.: An update on hospitalizations for eating disorders (1999-2009)Google Scholar
  3. 3.
    Ye, J., Dobson, S., McKeever, S.: Situation identification techniques in pervasive computing: A review. Pervasive and Mobile Computing (2011) (in press)Google Scholar
  4. 4.
    McCarthy, J.: Situations, actions and causal laws. Technical Report Memo 2, Stanford Artificial Intelligence Project. Stanford University (1963)Google Scholar
  5. 5.
    Reiter, R.: Knowledge in Action: Logical Foundations for Specifying and Implementing Dynamical Systems. Illustrated edn. The MIT Press (2001)Google Scholar
  6. 6.
    Parry-Jones, B., Parry-Jones, W.L.: Pica: symptom or eating disorder? a historical assessment. The British Journal of Psychiatry 160(3), 341–354 (1992)CrossRefGoogle Scholar
  7. 7.
    Coronato, A.: Uranus: A middleware architecture for dependable aal and vital signs monitoring applications. Sensors 12(3), 3145–3161 (2012)CrossRefGoogle Scholar
  8. 8.
    Lai, K., Bo, L., Ren, X., Fox, D.: A large-scale hierarchical multi-view rgb-d object dataset. In: IEEE International Conference on Robotics and Automation. ICRA 2011. IEEE, Piscataway (2011)Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2012

Authors and Affiliations

  • Antonio Coronato
    • 1
  • Giuseppe De Pietro
    • 1
  • Juan Carlos Augusto
    • 2
  1. 1.ICAR-CNRNaplesItaly
  2. 2.University of UlsterJordanstownUnited Kingdom

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