Handbook of Digital Homecare pp 203-219

Part of the Series in Biomedical Engineering book series (BIOMENG)

An Automatic Smart Information Sensory Scheme for Discriminating Types of Motion or Metrics of Patients

  • X. Ma
  • P. N. Brett

Abstract

Tactile sensing is a developing technology and can be used for detecting parameters describing contact between surfaces. It is of growing application as the technology progresses with increased possibilities for automatic perception. In this chapter the potential of the distributive sensing approach is discussed for monitoring metrics, motion and behaviour in people through the outcome of a series of experimental applications. These illustrate the ability to extract descriptions as information, rather than data on metrics or motion. The method uses an approach of discrimination to determine parameters describing contact conditions or for recognising the nature of contact. Using this approach, the distributive deformation response of a surface detected at a few sensing points leads to a device of mechanical simplicity. The approach has similarities with living tactile systems and offers the advantages of robust construction, greater resolution than the separation of sensing elements, and redundancy. The benefit of outputting information at source is the efficiency in storage and transmission and is a positive advantage for a sensing solution in the home. In homecare, the possibilities for monitoring people are numerous. The approach is discussed with reference to examples. Different techniques to derive describing parameters have to be applied to suit the different types of static or dynamic responses of surfaces in different applications. This approach to tactile sensing has an extensive future however the understanding of optimal design is at the developing stage.

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References

  1. Adkin, A.L., Bloem, B.R., Allum, J.H.J.: Trunk sway measurements during stance and gait tasks in parkinson’s disease. Gait & Posture 22, 240–249 (2005)CrossRefGoogle Scholar
  2. Brett, P.N., Stone, R.S.: A technique form measuring the contact force distribution in minimally invasive procedures. In: Proc. IMechE Part H4, vol. 211, pp. 309–316 (1997)Google Scholar
  3. Brett, P.N., Tam, B., Holding, D.J., Griffiths, M.V.: A Flexible Digit with tactile feedback for invasive clinical applications. In: 10th IEEE Conference on Mechatronics & Machine Vision in Practice, Perth (December 2003)Google Scholar
  4. Ellis, R.E., Ganeshan, S.R., Lederman, S.J.: A tactile sensor based on thin-plate deformation. Robotica 12, 343–351 (1994)CrossRefGoogle Scholar
  5. Elliott, M., Ma, X., Brett, P.N.: Determining The location of an Unknown Force Moving along a Plate Using the Distributive Sensing Method, Sensors and Actuators, part A. Physics (2007)Google Scholar
  6. Evans, B.S., Brett, P.N.: Computer simulation of the deformation of dough-like materials in a parallel plate gripper. In: Proc. IMechE, Part B, vol. 210, pp. 119–130 (1996)Google Scholar
  7. Freitas, S., Wieczorek, S.A., Marchetti, P.H., Duarte, M.: Age-related changes in human postural control of prolonged standing. Gait & Posture 22, 322–330 (2005)CrossRefGoogle Scholar
  8. Henriksen, M., Lunda, H., Moe-Nilssen, R., Bliddal, H., Danneskiod-Samse, B.: Test-retest reliability of trunk accelerometric gait analysis. Gait and Posture 19, 288–297 (2004)CrossRefGoogle Scholar
  9. Holweg, E.: Autonomous control in dextrous gripping, PhD thesis, Delft University of Technology, Delft, Netherlands (1996)Google Scholar
  10. Jonsson, E., Seiger, A., Hirschfeld, H.: One-leg stance in healthy young and elderly adults: a measure of postural steadiness? Clinical Biomechanics 19, 688–694 (2004)CrossRefGoogle Scholar
  11. Khodabandehloo, K.: Robotic Meat Cutting. In: IMechE Symposium on Mechatronics, Cambridge, UK (1990)Google Scholar
  12. Lord, S.R.: Vision, balance and falls in the elderly. Geriatric Times 4(6) (2003)Google Scholar
  13. Ma, X., Brett, P.N.: A novel distributive tactile sensing technique for determining the position, width and intensity of a distributed load. Transactions of the IEEE on instrumentation and measurement systems 51(2) (April 2002)Google Scholar
  14. Ma, X., Brett, P.N., Wright, M.T., Griffiths, M.V.: A flexible digit with tactile feedback for invasive clinical applications. In: Proc. IMechE, part H, No: H3, vol. 218, pp. 151–157 (2004)Google Scholar
  15. Miller, J.L.: Parkinson’s disease primer. Geriatric Nursing 23(2), 69–75 (2002)CrossRefGoogle Scholar
  16. Raibert, M.H., Tanner, J.E.: Design and implementtation of a VLSI tactile sensing computer. In: Pugh, E. (ed.) Robot sensors: Tactile and Non-vision, Kempston, UK, vol. 2, pp. 145–155. IFS publications, North-Holland (1989)Google Scholar
  17. Stone, R.S., Brett, P.N.: A novel approach to distributive tactile sensing. In: Proc. IMechE part B4, vol. 210 (1996)Google Scholar
  18. Tam, B., Brett, P.N., Holding, D.J., Griffiths, M.: The experimental per-formance of a flexible digit retrieving tactile information relating to clinical applications. In: Proc. 11th IEEE Int. Conf. Mechatronics and Machine Vision in Practice, Macao, 30 November -1 December (2004)Google Scholar
  19. Trace, M.: The sizing of feet by the distributive approach to tactile sensing. Thesis, Mechanical Engineering, University of Bristol, UK (1996)Google Scholar
  20. Tongpadungrod, P., Rhys, D., Brett, P.N.: An approach to optimise the critical sensor locations in a 1 dimensional novel distributive tactile surface to maximise performance. International Journal of Sensors and Actuators, Permagon (2004)Google Scholar
  21. Tongpadungrod, P., Brett, P.N.: Orientation detection and shape discrimination of an object on a flat surface using the distributive tactile sensing technique. In: Proc. 9th IEEE Conference on Mechatronics and Machine Vision in Practice, Thailand (2002)Google Scholar
  22. Tongpadungrod, P., Brett, P.N.: The performancecharacteristics of a novel distributive method for tactile sensing. In: Proc. 7th IEEE Conference on Mechatronics and Machine Vision in Practice, Hervey Bay, Australia (September 2000)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • X. Ma
    • 1
  • P. N. Brett
    • 1
  1. 1.School of Engineering & Applied ScienceAston UniversityBirminghamUK

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