“Estimating Skeleton from Skin Data for Designing Subject-Specific Knee Braces” by Bang, Kim, Jang and Lee
Conference:
Type(s):
Entry Number: 65
Title:
- Estimating Skeleton from Skin Data for Designing Subject-Specific Knee Braces
Presenter(s)/Author(s):
Abstract:
Knee brace is a sports product or medical equipment that increases the stability in the dynamics of the knee. The proper design of a subject-specific knee brace should take her anatomical characteristics into account since they are influential to the knee dynamics. However, anatomical information is hidden under the skin, and obtaining such information is restricted to expensive equipments such as Magnetic Resonance Imaging (MRI) device or Computed Tomography (CT) scan device.
In this paper, we develop a predictive model to estimate subject specific anatomical bones from the skin data, learned with training data of the leg skin data and the leg bone data as an input-output pair. We then examine the restitution force generated by virtual knee brace as the subject flexes her knee.
