Date: Wednesday December 11, 2019

Time: 1 pm

Location: Martin Hall EGR 2164

 

Electrical Impedance Tomography (EIT) is an imaging technique that uses voltage measurements to map the internal conductivity distribution inside a body by applying current on electrodes attached to the boundary of that body. EIT has a lot of applications ranging from medical imaging to 3D printing. Recently, this imaging method is also being used for tactile sensing using stretchable piezoresistive sensors mainly for robotic applications. Although the research has focused on qualitative illustration of the application. In this thesis, we present a way to quantitatively analyze the reconstructed EIT image using the effects of different current injection patterns.