Lausbert/Exermote

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

134

stars

3

commits

Swift

primary language

May 14, 2025

updated

monee-app.com
convolutional-neural-networks
coreml
exercise
firebase
gan
generative-adversarial-network
googlecloudml
ios11
keras
lstm
sgan
swift
tensorflow
Browse cluster: TensorFlow/Keras model optimization and AutoML

README


🚀 Give My Budgeting App a Try!

Try out my budgeting app! 🙂 → monee-app.com

Just like all the content here on the site, it’s completely free—so I’d really appreciate a rating and a review!


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.

Contributors

Lausbert

3 commits

Lausbert/Exermote

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

134

stars

3

commits

Swift

primary language

May 14, 2025

updated

monee-app.com
convolutional-neural-networks
coreml
exercise
firebase
gan
generative-adversarial-network
googlecloudml
ios11
keras
lstm
sgan
swift
tensorflow
Browse cluster: TensorFlow/Keras model optimization and AutoML

README


🚀 Give My Budgeting App a Try!

Try out my budgeting app! 🙂 → monee-app.com

Just like all the content here on the site, it’s completely free—so I’d really appreciate a rating and a review!


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.

Contributors

Lausbert

3 commits

Languages

Swift

82.7%

Python

12.1%

Objective-C++

3.2%