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Ambient Assisted Living pp 147–155Cite as

Cognitive Home Rehabilitation in Alzheimer’s Disease Patients by a Virtual Personal Trainer

Abstract

Alzheimer’s Disease is a problem of social and economic relevance as it involves both patients and their families/caregivers. Presently no cure is available. In the treatment of this disease, cognitive rehabilitation appears as an attractive choice for patients with a mild form. The aim of this work is the design and the development of a remote system, called “Virtual Personal Trainer”, integrating advanced Natural User Interface technologies to support the patients during the rehabilitation process at home. The system allows both the autonomous execution of the required exercises and the data reporting and storing of the daily performance for every exercise. In this scenario, the patient avoids to physically move to a specialized center and the physician can use the platform in order to verify the response to the therapy and the compliance to the treatment.

Keywords

  • Gesture Recognition
  • Clinical Dementia Rate
  • Cognitive Rehabilitation
  • Natural User Interface
  • Rehabilitation Practice

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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Acknowledgments

The presented work has been carried out within AL.TR.U.I.S.M. project, driven by an aggregation of SME, and funded by Apulia Region under the health care call for the promotion of regional partnerships for innovation.

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Authors and Affiliations

  1. CNR - Institute for Microelectronics and Microsystems, Via Monteroni, 73100, Lecce, Italy

    Andrea Caroppo, Alessandro Leone & Pietro Siciliano

  2. Geriatric Unit, IRCCS Casa Sollievo della Sofferenza, Viale Cappuccini, 71013, S.G. Rotondo, Italy

    Daniele Sancarlo, Grazia D’Onofrio & Antonio Greco

  3. ICT Unit, IRCCS Casa Sollievo della Sofferenza, Viale Cappuccini, 71013, S.G. Rotondo, Italy

    Francesco Giuliani

  4. eResult s.r.l., Via Ferruzzi Serafino, 47521, Cesena, Italy

    Riccardo Valzania & Massimo Pistoia

Authors
  1. Andrea Caroppo
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  2. Alessandro Leone
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  3. Pietro Siciliano
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  4. Daniele Sancarlo
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  5. Grazia D’Onofrio
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  6. Francesco Giuliani
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  7. Antonio Greco
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  8. Riccardo Valzania
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  9. Massimo Pistoia
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Corresponding author

Correspondence to Andrea Caroppo .

Editor information

Editors and Affiliations

  1. Università Politecnica delle Marche, Ancona, Italy

    Sauro Longhi

  2. Inst for Microelectronics & Microsystems IMM-CNR, Lecce, Lecce, Italy

    Pietro Siciliano

  3. Industrial Engineering, Università Politecnica delle Marche, Ancona, Italy

    Michele Germani

  4. Information Engineering, Università Politecnica delle Marche, Ancona, Italy

    Andrea Monteriù

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Caroppo, A. et al. (2014). Cognitive Home Rehabilitation in Alzheimer’s Disease Patients by a Virtual Personal Trainer. In: Longhi, S., Siciliano, P., Germani, M., Monteriù, A. (eds) Ambient Assisted Living. Springer, Cham. https://doi.org/10.1007/978-3-319-01119-6_15

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  • DOI: https://doi.org/10.1007/978-3-319-01119-6_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-01118-9

  • Online ISBN: 978-3-319-01119-6

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