EIT-kit: An Electrical Impedance Tomography Toolkit for Health and Motion Sensing
summary
A complete EIT prototyping stack that combines a Rhino Grasshopper 3D editor, a customizable sensing motherboard, an Arduino-style microcontroller library, and an iOS visualization API that runs on-phone and in AR. The system supports up to 64 electrodes and auto-calibrating current and gain, drives differential current and differential voltage measurement, and stacks modular mux boards for up to four arrays. Demonstrations include a working AR muscle monitor using two 16-electrode arrays, wearable gesture recognition, distracted-driving hand detection, and biological tissue visualization.
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chapters (7)
- 0:00Introduction
- 0:21Overview
- 3:46ID Case 3D Editor
- 4:46ID Sensing Motherboard
- 5:26Arduino Library
- 6:10Mobile Visualization API
- 8:01Application Examples
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