Home » Golf Ace helps you learn how to putt like the pros using tinyML | Arduino Blog

Golf Ace helps you learn how to putt like the pros using tinyML | Arduino Blog

by componentcart
0 comment
Golf Ace helps you learn how to putt like the pros using tinyML | Arduino Blog


Golf Ace helps you learn how to putt like the pros using tinyML

Arduino TeamMay 9th, 2022

Fancy golfing simulators are excellent for learning the best techniques such as balance and how to hold a club properly. However, their large cost puts them out of the reach of most people, so Nick Bild decided to create a far cheaper alternative that can still be beneficial. His Golf Ace system relies on a specially modified putter that runs a machine learning algorithm to give feedback about the quality of the putt.

When the player is ready to begin using the club, they can press a button, after which the onboard accelerometer of a Nano 33 IoT begins recording the movements of the putter. He trained a K-means clustering anomaly detection algorithm with data from many correct motions in the Edge Impulse Studio, meaning that anything outside of the normal range can be recognized as a poor putt. From here, the model outputs if the recorded motion is close enough to correct, and if so lights up an RGB LED in green. Otherwise, the light turns red to signal poor technique. 

In the future, Bild hopes to collect more data from proficient golfers in order to further refine his model and preload it into a club so that others can practice with high-quality putting data. Until then, you can read more about the project in his Hackster write-up.  

You can follow any responses to this entry through the RSS 2.0 feed.
You can leave a response, or trackback from your own site.





Source link

You may also like

Leave a Comment

Technology News

TECHNOLOGY NEWS Provides the coverage of Electronics, Manufacturing & Technology and new trends in the market

Newsletter

Subscribe my Newsletter for new blog posts, tips & new photos. Let's stay updated!

Laest News

@2022 – All Right Reserved. Designed and Developed by Component Cart