Stretchable Strain Sensor for Full Hand Pose Recognition Under Dexterous Articulation in Daily Activities for Tele-rehabilitation

Abstract

The effectiveness and reliability of strain sensors depends on their sensitivity and tolerance to multiple stretching and release. The reliability of on-skin strain sensors will be investigated and a statistical model on its performance will be developed. The sensors with various materials will be tested and its elasticity and flexibility will be evaluated. Different substrates such as adhesive bandages will be used to evaluate its conformability to the skin. The statistical model will be developed based on the experimental measurements: resistivity, impedance, and tensile testing. For the full hand pose recognition, the data collected from the sensor will be pre-processed and the important features for the model will be extracted.

Document Details

Document Type
DoD Grant Award
Publication Date
Nov 16, 2022
Source ID
FA23862114026

Entities

People

  • Norsinnira Zainul Azlan

Organizations

  • Air Force Office of Scientific Research
  • International Islamic University Malaysia
  • United States Air Force

Tags

Readers

  • Computer Vision.
  • Exercise and Sports Science.
  • Robotics and Automation.