CSE 477 Spring 2014

This is the project page for CSE 477 Spring 2014.

Meeting notes from May 20th

20. May 2014 Zachary Amador Weekly Lab Notebooks (0)

Kickstarter page:

  • Make a “money shot” image

  • Upload video to youtube/vimeo/whatever, link it on kickstarter page

  • Should be updating kickstarter page whenever we have new weekly updates

  • Make second draft of video

    • Introduction (motivation for product)

    • Show “theory of operation”, hardware, and phone app

    • Shots of prototype (sensortag) sensing tilt

    • Shots of iPhone app prototype

    • Shots of UI/data visualization mockups

3D printing case:

  • Get dimensions of board and battery

  • Design case back that holds components (leave space for battery wires?)

  • Design case front, decide on attachment method (hinge, pins, screws)

PCB:

  • Figure out how to panel board without extra cost
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CSE 477 Spring 2014 | All posts tagged 'Week-6'

CSE 477 Spring 2014

This is the project page for CSE 477 Spring 2014.

Data mining part 2

6. May 2014 Steven Guh Project Log (0)
I collected accelerometer data from Peter, Zachary and myself, and applied some machine learning algorithm. I extracted three features out of the 10 Hz 3-axis accelerometer data. Those features are Average Motion Intensity (AI), Variance of Motion Intensity(VI), and Normalized Signal Magnitude Area (SMA). The diagram below show all the feature extracted from the data set, the data denote with CNN are used for CNN algorithm, which the data are condensed for that algorithm. We can get 97% test set accuracy by using CNN algorithm, and 91% by using logistic regression classifier. However, CNN algorithm is easy to affected by noise. We could remove the noise before we applied CNN, so that we get a higher accuracy. Since we already have the multiple machine learning algorithm ready, I will start working on the iOS app that interface with our device.
Edit:
I just found out I forgot to take absolute the values on the SMA calculation. However, the accuracy did not change. Below is the corrected diagram.