Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

access icon openaccess E-servant: an intelligent, programmable system to support and integrate assisted living technologies

The ‘E-servant’, a programmable system to control and manage assistive technologies, telehealth and telecare devices in a home environment is presented. The E-servant is programmed using a simple graphical interface that allows the user to build a dialogue in the form of a production rule system, which is triggered by a patient- or technology-initiated event. The patient interacts with the system through a personalised user interface to reach their goal of completing a task. These tasks, which the authors call ‘scenarios’, can be designed for users of different abilities (cognitive and/or physical). They can also be given priority levels, for example if a potential emergency situation arises in the patient's home, a scenario associated with the sensing of this event takes highest priority. The research presented in this Letter outlines the E-servant, its programming tool and reports its evaluation in living laboratory settings. The results suggest that it can be used as a central management system for supporting an integrated support environment for facilitating healthcare and activities of daily living, especially for older patients.

References

    1. 1)
      • 5. Maternaghan, C., Turner, K.J.: ‘Programming home care’, in Wolters, M.K., Turner, K.J., Lakany, H. (Eds.): ‘Proc. advances in techniques and technologies assisting care at home’ (IEEE Computer Society, Los Alamitos, California, USA, 2011), pp. 5.15.7.
    2. 2)
      • 5. Maternaghan, C., Turner, K.J.: ‘Programming home care’, in Wolters, M.K., Turner, K.J., Lakany, H. (Eds.): ‘Proc. advances in techniques and technologies assisting care at home’ (IEEE Computer Society, Los Alamitos, California, USA, 2011), pp. 5.15.7.
    3. 3)
      • 6. Newell, A., Simon, H.: ‘Human problem solving’ (Prentice-Hall, 1972).
    4. 4)
      • 8. Cooper, A.: ‘The inmates are running the asylum’ (Sams Publishing, 1999, 1st edn.).
    5. 5)
      • 4. Angermann, A., Bauer, R., Nossek, G., Zimmermann, N.: ‘Injuries in the European Union. Statistics Summary 2003–2005’ (Austrian Road Safety Board, Vienna, Austria, 2007).
    6. 6)
      • 3. NIPSSR: ‘Population Projections for Japan: 2001–2050. With Long-Range Population Projections’, 2002, pp. 2051–2100.
    7. 7)
      • 9. Easyline + : ‘D7.2 Report with the end user tests + D7.2 ANNEX’, Available: http://www.easylineplus.com/ (accessed April 2014).
    8. 8)
      • 1. Giannakouris, K.: ‘Ageing characterises the demographic perspectives of the European societies’, Eurostat, Statis. Focus, 2008, 72, pp. 111.
    9. 9)
      • 2. Resident Population Projections by Sex and Age: 2010 to 2050. Available: http://www.census.gov/, accessed February 2014.
    10. 10)
      • 7. Jones, R.M., Laird, J.E., Nielsen, E., Coulter, K., Kenny, P., Koss, F.: ‘Automated intelligent pilots for combat flight simulation’, AI Mag., 1999, 20, (1), pp. 2742.
http://iet.metastore.ingenta.com/content/journals/10.1049/htl.2014.0052
Loading

Related content

content/journals/10.1049/htl.2014.0052
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address