2022 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

• Mohamed Ihsan Image Classifer, Pokemon Types Image Classifier

• Stanley Walker Image Classifier with Lucid Doodle, Lucid Doodle Image Classifier

• Yves Fogel [Voice Command LEDs] (https://wp.nyu.edu/tischschoolofthearts-yvesfogelblog/teachable-leds/), Voice Control LED strips responding to colors Red, Green and Blue

• Nati Tsegaye Pose Classifier with Teachable Machine, Mask On/OFF

• Tatiana Trebisacci [Sound Classifier, Which Color?] (https://www.tatianatrebisacci.com/blog/pcomp-for-machine-learning) Is the LED red or yellow?

• Qiongting Zhang, "Sleepiness Alert", use pose detection with Teachable Machine, alert when you feel sleepy at work/study.

• Martha https://marthajanicki.notion.site/Google-Teachable-Machine-Sounds-35ba02a8602c49e49ece484e9a859cf2
• Sara Hi & Bye

• Lorena https://loloitp.blogspot.com/2022/03/mlxarduino-class-2-teachable-machine.html

• Keer Sound Classifer Sneezing or Coughing