Current Work

A brief overview of what's been done, and what's on my plate.

Data Collection App

• Implemented second draft at recording data UI I added a 2 second timer, and a toggle to switch between recording normal data, and recording a fall.
• Added display to see num samples Normal vs Fall
• added logic for the timer
• Created fixed fixed size feature vectors
• Uploaded feature vectors to Parse
• Query Parse for num samples on update

Neural Network Processing

• can now extract all data to a text file for processing
• • Train a perceptron or simple feed forward neural network to classify
    • Break up data into 80-20 Train-Test
    • Compute Accuracy
    • Save weights to external file

User App

• Train a perceptron or simple feed forward neural network to classify
  • Break up data into 80-20 Train-Test
  • Compute Accuracy
  • Save weights to external file
• Build Product App
  • Build UI
  • Clean UI
  • Load classifier into App with weights from that file
  • Real-time classify and notify user
    • Naive notification can just be text / color change. No need for push.

Issues

• MLPNeuralNet is a pain to get running as a MacOS / Terminal App
• Compatibility issues with certain libraries being in Objective-C and others in Swift