Abstract
The paper presents the outline and the preliminary developments of NINFA (iNtelligent Integrated Network For Aged people), a project for the well-being of the elderly people at home. This architecture is based on a service platform suited for elder people called the Virtual Village Network, whose user interface allows to deliver different services at home, namely: user supervision, communication and interaction among users for social inclusion, exergame delivering, monitoring of the wellness status. After the discussion of some results of the investigation on the acceptability issues of the ICT technologies related to the project, the User Interface (UI) and the novel Human Computer Interface (HCI) have been developed. The HCI is particularly suited for elderly people and motor impaired patients because the interaction is managed only by finger/hand gestures and by vocal control through simple commands. A set of preliminary exergames developed for the user training and monitoring are presented. During the exergame execution, the user interface allows the real-time acquisition of a set of motor, linguistic and cognitive parameters related to the user performance. The analysis of the verbal production of each subject is used to observe its language evolution and to detect the onset of any cognitive deficit. The relationship between some parameters and the neurological/wellness status of the user is discussed.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Source: Commission Services (DG ECFIN), Eurostat (EUROPOP2010), EPC (AWG). available at: http://europa.eu/epc/pdf/2012_ageing_report_en.pdf.
- 2.
NINFA (iNtelligent Integrated Network For Aged people) Project is a sub-project founded within the CNR Project on Aging 2012-2014.
References
Barry, G., Galna, B., Rochester, L.: The role of exergaming in Parkinson’s disease rehabilitation: a systematic review of the evidence. J. Neuroeng. Rehabil. 7, 11–33 (2014)
Cummings, J.L., et al.: Alzheimer’s disease and Parkinson’s disease comparison of speech and language alterations. Neurology 38(5), 680–684 (1998)
Ferraris, C., Nerino R., Chimienti, A., Pettiti, G., Pianu, D., Albani, G., Azzaro, C., Contin, L., Cimolin, V., Mauro, A.: Remote monitoring and rehabilitation for patients with neurological diseases, to appear on: Bodynets 2014. In: 9th International Conference on Body Area Networks, 29 Sept.–1 Oct., 2014 London, Great Britain (2014)
Gonzalez-Ortega, D., Diaz-Pernas, F.J., Martinez-Zarzuela, M., Anton-Rodriguez, M.: A Kinect-based system for cognitive rehabilitation exercises monitoring. Comput. Meth. Prog. Bio. 113(2), 620–631 (2014)
Heldman, D.A., Giuffrida, J.P., Chen, R., Payne, M., Mazzella, F., et al.: The modified bradykinesia rating scale for Parkinson’s disease: reliability and comparison with kinematic measures. Mov. Disord. 26(10), 1859–1863 (2011)
Leone, A., Diraco, G., Siciliano, P.: Detecting falls with 3D range camera in ambient assisted living applications: A preliminary study. Med. Eng. Phys. 33(6), 770–781 (2011)
Marini, A., Carlomagno, S.: Analisi del discorso e patologia del linguaggio. Springer-Verlag Italia, Milano (2004)
Oyedele, A., Hong, S., Minor, M.S.: Contextual factors in the appearance of consumer robots: exploratory assessment of perceived anxiety toward humanlike consumer robots. Cyberpsychol. Behav. 10(5), 624–632 (2007)
Pogrzeba, L., Wacker, M., Jung, B.: Potentials of a low-cost motion analysis system for exergames in rehabilitation and sports medicine. E-Learning and Games for Training, Education, Health and Sport Lecture Notes in Computer Science, 7516, pp. 125, 133. Springer, New York (2012)
Rashidi, P., Mihailidis, A.: A survey on ambient-assisted living tools for older adults. IEEE J. Biomed. Health Inform 17(3), 579–590 (2013)
Roark, B., Mitchell, M., Hollingshead,, K.: Syntactic complexity measures for detecting mild cognitive impairment. In: ACL’07 Workshop on Biological, Translational, and Clinical Language Processing (BioNLP’07). Prague, Czech Republic, pp. 1, 8 (2007)
Stone, E., Skubic, M.: Evaluation of an inexpensive depth camera for in-home gait assessment. J. Ambient Intell. Smart Env. 3(4), 349–361 (2011)
Wang, F., Stone, E.E., Skubic, M., Keller, J.M., Abbott, C., Rantz, M.: Toward a passive low-cost in-home gait assessment system for older adults. IEEE J. Biomed. Health Inform. 17(2), 346–355 (2013)
Zhou, H., HU, H.: Human motion tracking for rehabilitation—a survey. Biomed. Sig. Process. 3(1), 1–18 (2008)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Morgavi, G. et al. (2015). An Integrated Approach to the Well-Being of the Elderly People at Home. In: Andò, B., Siciliano, P., Marletta, V., Monteriù, A. (eds) Ambient Assisted Living. Biosystems & Biorobotics, vol 11. Springer, Cham. https://doi.org/10.1007/978-3-319-18374-9_25
Download citation
DOI: https://doi.org/10.1007/978-3-319-18374-9_25
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-18373-2
Online ISBN: 978-3-319-18374-9
eBook Packages: EngineeringEngineering (R0)