Abstract
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.
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© 2012 Springer Science+Business Media Dordrecht
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Coronato, A., De Pietro, G., Augusto, J.C. (2012). Modeling Eating Disorders of Cognitive Impaired People. In: Park, J., Jin, Q., Sang-soo Yeo, M., Hu, B. (eds) Human Centric Technology and Service in Smart Space. Lecture Notes in Electrical Engineering, vol 182. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5086-9_22
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DOI: https://doi.org/10.1007/978-94-007-5086-9_22
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-007-5085-2
Online ISBN: 978-94-007-5086-9
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