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Home Assistive System for Dementia

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Published:28 September 2017Publication History

ABSTRACT

This work proposes an innovative home assisted system, based on the interaction of the stimulus earpiece. It addresses a need of people suffering from dementia as well as their familiars to be recognized by them and have better interaction and collaboration. The project aims not only to people already suffering from dementia at early stages but also people with genetic predisposition who may be trained appropriately to discover and create acoustical stimuli associated to their familiars. The system offers an ubiquitous recognition system, without the need for extensive training of the patient, based on the principles of music therapy and the features of wireless communication. To the best of the authors knowledge, this is the first system of its kind ever reported in the literature.

References

  1. Martin James Prince. 2015. World Alzheimer Report 2015: the global impact of dementia: an analysis of prevalence, incidence, cost and trends. Alzheimer's Disease International.Google ScholarGoogle Scholar
  2. Alfredo Raglio and Fondazione Sospiro. 2010. Music therapy in dementia. Non pharmacological therapies in Dementia 1, 1 (2010), 1--14.Google ScholarGoogle Scholar
  3. Annemiek C Vink, Manon S Bruinsma, and Rob JPM Scholten. 2003. Music therapy for people with dementia. The Cochrane Library (2003).Google ScholarGoogle ScholarCross RefCross Ref
  4. Nikolaos Zafranas and Aristeidis Zafranas. 2015. Brain, Physiology and Music. (2015).Google ScholarGoogle Scholar
  5. Robert J Zatorre, Andrea R Halpern, David W Perry, Ernst Meyer, and Alan C Evans. 1996. Hearing in the mind's ear: a PET investigation of musical imagery and perception. Journal of cognitive neuroscience 8, 1 (1996), 29--46. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Home Assistive System for Dementia

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            • Published in

              cover image ACM Other conferences
              PCI '17: Proceedings of the 21st Pan-Hellenic Conference on Informatics
              September 2017
              322 pages

              Copyright © 2017 ACM

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              Association for Computing Machinery

              New York, NY, United States

              Publication History

              • Published: 28 September 2017

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              • research-article
              • Research
              • Refereed limited

              Acceptance Rates

              Overall Acceptance Rate190of390submissions,49%

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