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Using Machine Learning to predict the type of exercise from movement data

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Lausbert/Exermote

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Exermote

Exermote is a fitness app prototype, which is capable to detect Burpees, Squats and Situps and to count related repetitions. The exercise recognition is done with Convolutional LSTM Neural Networks.

It will take some time until .gif is loaded. Have a look on youtube for the raw video with sound.

The project is divided into following steps:

Gathering Data

Preprocessing And Training

Inference

Improving

Checkout links for further documentation.


Testmote was released to the AppStore as a side product of this project.