2020 Spring Week 2 Classification

Homework:

• Workshop:
  1. Choose one of the teachable machine models(image/sound/pose classification), train it with your own classes and send the results to your Arduino board to light LEDs(or any other output). Guide
  2. Document the process of the above exercise with images and a short video.
  3. Write down or sketch out other than LEDs what would you like the output to be? a motor that rotates to sort candies, or a powerswitch tail that can be connected to Arduino and light up a regular lamp at home, or power other electric devices at home, e.g. Objectifier Spatial Programming.

(Publish 2. and 3. on your blog and put your blog link below)

Questions?

• add your question here

Add your name/link to your assignment below

• Your name, [Project name](Project Link), Project Description

• Yves Fogel, Voice Controlled LEDs https://wp.nyu.edu/tischschoolofthearts-yvesfogelblog/teachable-leds/, Controlling LED strip colors with my voice

• Oliver-Rose, High-Five Bot https://wp.nyu.edu/itportfolio_oliver_rose/2020/04/04/ml4pcomp-hwk2/, a machine learning model that recognizes when you're ready for a high five

• Aditya, Hand recognition

• Shannel, Stop and Go: Machine Learning, Water dispenser for dogs

• Jason Tse, Whack-no-Mole, “Whack-no-Mole” is a physical computing project parodying a classic arcade game “Whac A Mole”, powered by an easy to use machine learning tool Teachable Machine, p5.js, and Arduino.

• KJ Ha, Assignment 1, ML4PCOMP assignment 1

• Lu Lyu, Assignment 1, a simple finger toy speak in different voices

• Stacy Yuan, Assignment 1, a machine learning model that recognizes whenever I wear the glasses or not.

• Yen Chen, twinkle twinkle little star, a model to recognize 0-5 hand gestures.

• Siyuan Zan, Assignment 1, When a person sneezes, a mask appears in the sketch to cover the face.

• Russell Ladson - Week 2