Take a Bow(ling)

Inspiration

Bowling training from home

What it does

This project is an attempt to engage people who love bowling and give them the opportunity to play and exercise from home. The player holds his phone as if it was a bowling ball and he makes the move to throw. Then, the logs created from the movement are processed by the machine learning models we have created and the model decides whether the try was a good one, a strike, a left miss or a right miss. The models are pre-trained with our datasets.

Challenges we ran into

It was difficult to clear the logs and convert them into valuable information for our ML models.

Accomplishments that we're proud of

The good accuracy of the selected models and the clarity of the datasets created.

What we learned

What's next for Take a Bow(ling)

Make models more precise and take into consideration other metrics, such as the distance of the pins and the player.

Built With

• matlab