Organizational Unit:
Center for Inclusive Design and Innovation

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Now showing 1 - 3 of 3
  • Item
    The Accuracy Of New Wheelchair User Predictions About Their Future Wheelchair Use
    (Georgia Institute of Technology, 2010-06) Hoenig, Helen ; Griffiths, Patricia ; Harris, Frances ; Caves, Kevin ; Sprigle, Stephen
    This study examined the accuracy of new wheelchair user predictions about their future wheelchair use. We used an existing database of 71 new manual wheelchair users with data obtained at baseline, 3-­‐ and 6-‐months to examine the specificity, sensitivity, positive and negative predictive value of user predictions about anticipated amount and locations of wheelchair use. At 3-­‐months, the correlation between predicted and actual use was strong, with 90% of those who thought they would still be using the wheelchair still using it, and 60% of those who said they would not be using it indeed were not using the wheelchair. By 6-­‐months the predictive utility diminished substantially. Only 70% of subjects accurately predicted their continued use, while only 50% correctly predicted they would not be using their wheelchairs. This study demonstrates the importance of better understanding the potential mismatch between the anticipated and actual patterns of wheelchairs use.
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    Handheld, Non-Contact Wound Measurement Device
    (Georgia Institute of Technology, 2006) Sprigle, Stephen ; Patel, Nirmal ; Joshi, Aditya ; Starner, Thad
    Repeatable and accurate wound measurement forms an important part in the assessment and treatment of chronic wounds and pressure ulcers. Current wound measurement methods span a continuum, from the ruler method which is easy to perform but lacks accuracy to devices using stereophotogrammetry which are accurate and repeatable but are expensive. A prototype handheld wound measurement system has been developed that measures wounds without contact, processes images in <1 min and is low cost. The device is based upon a simple digital camera such as those found in cell phones. Using computer vision techniques, device software suggests a wound boundary and gives the calculated area. The user can then 1) accept the area (if the wound boundary detection is correct), 2) modify the wound boundary by dragging the outline using a stylus on the touch screen, or 3) reject the wound boundary and retrace the wound manually using the stylus. Accurate wound dimensions using photography require knowing the distance between the camera and wound and the ability to correct for a skewed image. The use of four laser pointers and computer vision techniques overcome these technical challenges. To test accuracy, repeatability and skew correction, a model wound with known dimensions was measured at four distances and skew angles between 0º and 35º. Accuracy across distance and skewness ranged from 5%-7.5% with a coefficient of variation (repeatability) of <4%. This performance exceeds values reported for rulers, tracing methods and photography and equals performance of higher cost structured light devices.
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    Introducing Asymmetry to Wheelchair Design
    (Georgia Institute of Technology, 2005) Kong, Linghua
    This paper reports the use of asymmetry in designing the chassis of a power wheelchair. The innovative design uses and tests two kinds of power wheels and a new suspension structure. This design carefully considers features which satisfying the special needs of the aging population. Basic electromechanical models and stress analysis of the key parts of the new features have been performed. Prototypes were fabricated in the shop. Performance analysis will be done, and a comparison test to current wheelchair technology completed, when the fully manufactured wheelchair is available.