Shape Sensing
Project Description:
Design of a simulation framework and prototype of a wearable shape sensing garment for application in situational/context awareness, gait analysis, and gesture movement recognition.
Goals:
- Design a framework for design space exploration and simulation of wearable electronic textiles.
- Reduce design cycle iterations/time for electronic textiles via simulation.
- Simulate electronic textiles systems including but not limited to sensors, processing elements, wires, and fabric.
- Implement a shape-sensing, wearable electronic textile capable of context awareness and motion analysis which generalizes well over the human population.
Images:
 |
Visualization of human motion data used as input to the simulation. |
 |
Ptolemy model for a piezoelectric film strip incorporating only first-order effects. |
 |
Preliminary results using a feed-forward back-propagation neural network to distinguish different motions using simulated sensor data. |
Publications:
- T. Martin, M. Jones, J. Edmison, and R. Shenoy, "Towards a design framework for wearable electronic textiles," Seventh International Symposium on Wearable Computers (ISWC 2003), pp 190-199, October 2003.
Student Reports:
- Joshua N. Edmison, Sookyoung Kim, Kevin Lio, "Shape Sensing, Context Aware Garment," Virginia Tech ECE 5984, Wearable and Ubiquitous Computing, Dr. Thomas Martin, Sring 2003.
