Journal of the Institute of Convergence Signal Processing (융합신호처리학회논문지)

The Korea Institute of Convergence Signal Processing (한국융합신호처리학회)
권호 표지

Interactive Rehabilitation Support System for Dementia Patients

  • Received : 2010.05.31
  • Accepted : 2010.07.29
  • Published : 2010.07.30
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Abstract

This paper presents the preliminary study of an interactive rehabilitation support system for both dementia patients and their caregivers, the goal of which is to improve the quality of life(QOL) of the patients suffering from dementia through virtual interaction. To achieve the virtual interaction, three kinds of recognition modules for speech, facial image and pen-mouse gesture are studied. The results of both practical tests and questionnaire surveys show that the proposed system had to be further improved, especially in both speech recognition and user interface for real-world applications. The surveys also revealed that the pen-mouse gesture recognition, as one of possible interactive aids, show us a probability to support weakness of speech recognition.

Keywords

References

  1. P. Riley, N. Alm, A. Newell, "An interactive tool to promote musical creativity in people with dementia", Computers in human behavior, Vol.25, No.3, pp.599-608, 2009. https://doi.org/10.1016/j.chb.2008.08.014
  2. A. Astell, N. Alm, G. Gowans, "Involving older people with dementia and their carers in designing computer based support systems: some methodological considerations", Universal access in the information society, Vol.8, No.1, pp.49-58, 2009. https://doi.org/10.1007/s10209-008-0129-9
  3. M.Schreiber, A. Schweizer, K. Lutz, K. T. Kalveram, L. Jancke, "Potential of an Interactive Computer-based Training in the Rehabilitation of Dementia: An Initial Study", Neuropsychological rehabilitation, Vol.9, No.2, pp.155-167, 1999. https://doi.org/10.1080/713755596
  4. S-I. Kim, B-C. Kim, "Dialog System based on Speech Recognition for the Elderly with Dementia", The Journal of the Maritime Information and Communication Sciences, Vol.6, No.6, pp.923-930, 2002.
  5. S-I. Kim, H-Y. Chung, "Dialog System Using Multimedia Techniques for the Elderly with Dementia", The Journal of the Acoustical Society of Korea, Vol.21, No.4E, pp.170-177, 2002.
  6. M. Suzuki, S. Makino, A. Ito, H. Aso and H. Shimodaira, "A new HMnet construction algorithm requiring no contextual factors," IEICE Trans. Inf. & Syst., Vol.E78-D, No.6, pp.662-669, 1995
  7. M. Ostendoft and H. Singer, "HMM Topology design Using Maximum Likelihood Successive State Splitting," Computer Speech and Language Vol.11, pp.17-41, 1997. https://doi.org/10.1006/csla.1996.0021
  8. J. Takami and S. Sagayama, "A Successive State Splitting Algorithm for Efficient Allophone Modeling," Proc. of ICASSP'92, Vol.1, pp.573-576, 1992.
  9. X. Huang, A. Acero, and H.W. Hon, "Spoken language processing: a guide to theory, algorithm, and system development," Prentice Hall, 2001.
  10. L. Rabiner, and B.H. Juang, "Fundamentals of speech recognition," Prentice-Hall International, Inc. 1993.
  11. T. Hori, M. Katoh, A. Ito and M. Kohda, "A Study on HM-Nets using Decision Tree-based Successive State Splitting," Proc. of ICSP'97, Vol.1, pp.383-387, 1997.
  12. S-J. Oh, K-D. Kim, D-G. Roh, S-O. Wi, M-G. Song, H-Y. Chung, "A Study on Performance Evaluation of Hidden Markov Network Speech Recognition System(Korean)," KISPS, pp.30-39, 2003.
  13. S-J Oh, C-J Hwang, B-K Kim, H-Y Chung, "Performance Evaluation of HM-Nets Speech Recognition System using the Large Vocabulary Korean Speech Databases," Proc. of Kyushu-Youngnam Joint Conference on Acoustics, pp. 49-52, 2003.
  14. VeriLookSDK(Software Developer's Kit) version 2.0, Neurotechnologija, www.neurotechnologija.com/.