• DocumentCode
    3496628
  • Title

    Experiments in the detection of upper limb posture through kinestetic strain sensors

  • Author

    Giorgino, Toni ; Quaglini, Silvana ; Lorassi, F. ; De Rossi, D.

  • Author_Institution
    Dipt. di Informatica e Sistemistica, Pavia Univ.
  • fYear
    2006
  • fDate
    3-5 April 2006
  • Lastpage
    12
  • Abstract
    Conductive elastomers are strain-sensing technology which can be embedded unobtrusively into a garment´s fabric. A prototype was realized to simultaneously measure the strains at multiple points of a shirt covering the thorax and upper limb. This paper describes preliminary experiments with machine learning techniques, employed to analyse the strain measures in order to reliably reconstruct upper-limb posture. The scope of the application is to detect execution, correctness and progress of physical exercises performed as part of neurological rehabilitation therapy
  • Keywords
    biomedical measurement; biosensors; elastomers; learning (artificial intelligence); neurophysiology; patient treatment; strain sensors; conductive elastomers; kinestetic strain sensors; machine learning; neurological rehabilitation therapy; upper limb posture; Animation; Biosensors; Capacitive sensors; Clothing; Fabrics; Immune system; Medical treatment; Sensor systems; Strain measurement; Toy industry;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wearable and Implantable Body Sensor Networks, 2006. BSN 2006. International Workshop on
  • Conference_Location
    Cambridge, MA
  • Print_ISBN
    0-7695-2547-4
  • Type

    conf

  • DOI
    10.1109/BSN.2006.25
  • Filename
    1612884