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Personalized Music Experience for the Wellbeing of Elderly People

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Internet Science (INSCI 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11938))

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Abstract

The ageing of our society, due to the technological advancements brought in our lives, its a sign of how better we can now live compared even just to a decade ago. Because of this, one of the important aspects that our society is now focused on is bringing proper care to all of the senior citizens that take advantage of these technological improvements.

Music has become one of the reference points in elderly care, especially for the benefits it has brought in the treatment of neurodegenerative diseases. This is why in this paper the idea of a cyber physical system involving music playing and user monitoring is presented, in order to propose a designed system that could also be useful in the above mentioned elderly care.

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References

  1. Aljanaki, A., Wiering, F., Veltkamp, R.C.: Studying emotion induced by music through a crowdsourcing game. Inf. Process. Manag. 52(1), 115–128 (2016)

    Article  Google Scholar 

  2. van Bruggen-Rufi, M., Roos, R.: The effect of music therapy for patients with Huntington’s disease: a systematic literature review. J. Lit. Art Stud. 5(1), 30–40 (2015)

    Google Scholar 

  3. De Loor, P., Manac’h, K., Tisseau, J.: Enaction-based artificial intelligence: toward co-evolution with humans in the loop. Minds Mach. 19(3), 319–343 (2009)

    Article  Google Scholar 

  4. Fang, R., Ye, S., Huangfu, J., Calimag, D.P.: Music therapy is a potential intervention for cognition of Alzheimer’s disease: a mini-review. Transl. Neurodegener. 6(1), 2 (2017)

    Article  Google Scholar 

  5. Guess, H.: Alzheimer’s disease and the impact of music therapy a systematic literature review (2017)

    Google Scholar 

  6. Hays, T., Minichiello, V.: The meaning of music in the lives of older people: a qualitative study. Psychol. Music 33(4), 437–451 (2005)

    Article  Google Scholar 

  7. Jerritta, S., Murugappan, M., Nagarajan, R., Wan, K.: Physiological signals based human emotion recognition: a review. In: 2011 IEEE 7th International Colloquium on Signal Processing and its Applications, pp. 410–415. IEEE (2011)

    Google Scholar 

  8. Kim, J., André, E.: Emotion recognition based on physiological changes in music listening. IEEE Trans. Pattern Anal. Mach. Intell. 30(12), 2067–2083 (2008)

    Article  Google Scholar 

  9. Raglio, A.: Music therapy interventions in Parkinson’s disease: the state-of-the-art. Front. Neurol. 6, 185 (2015)

    Article  Google Scholar 

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Acknowledgement

This research is supported by the FONDAZIONE CARIPLO “LONGEVICITY-Social Inclusion for a Elderly through Walkability” (Rif. 2017-0938)

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Correspondence to Marta Giltri .

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Bandini, S., Gasparini, F., Giltri, M. (2019). Personalized Music Experience for the Wellbeing of Elderly People. In: El Yacoubi, S., Bagnoli, F., Pacini, G. (eds) Internet Science. INSCI 2019. Lecture Notes in Computer Science(), vol 11938. Springer, Cham. https://doi.org/10.1007/978-3-030-34770-3_28

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  • DOI: https://doi.org/10.1007/978-3-030-34770-3_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-34769-7

  • Online ISBN: 978-3-030-34770-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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