ECE516 Lab 3 ("lab3"), 2025

Based on the SWIM from Lab 2, let's understand how to use it as a scientific outside-the-box ("Outstrument") measurement and meta-measurement device for intelligent imaging, XR, and spatial computing with SWIM.

Marking:

Easy part of the lab for up to 10/10, plus ambitious part of the lab for more than 10/10, e.g. by adding a couple of bonus marks.

• 1/10 Build a simple data-logging resistance meter that can also drive a SWIM as discussed in class.
• 1/10 Collect a dense array of comparametric data points for each of for red-only, green-only, and blue-only SWIM lights.
• 1/10 Plot comparametric scatterplots for the red data, green data, and blue data, and overlay the 3 plots color-coded (red points in red, green points in green, and blue points in blue).
• 2/10 Fit the data to compametric functions for each of red, green, and blue. Choose functions that have known solution.
• 1/10 Plot comparagraphs of the comparametric functions using Octave, and overlay the 3 plots color-coded, and save as vector graphics (e.g. SVG).
• 1/10 Does the comparagraphic function vary appreciably by spectral band (red, green, or blue)?
• 1/10 Solve for f(q) to recover the response function of the photocell.
• 1/10 Constructs a light meter from the resulting function, i.e. use f-inverse to recover q, so you now have a device that outputs the true quantity of light, up to a single unknown scalar constant.
• 1/10 Calibrate the SWIM and write a function so that you can output a known quantity of light in each and every pixel of the SWIM. Explain your work.
• 2/10 Optional bonus marks: do something cool and fun, perhaps SWIM out some interesting scientific data like brainwaves or ECG, e.g. use Muse and machine learning to infer EEG and gamify it into an interesting game or fitness system.