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Human Activity Recognition Using Recurrent Neural Nets Rnn Lstm And Tensorflow On Smartphones ⭐ 46

This was my Master's project where i was involved using a dataset from Wireless Sensor Data Mining Lab (WISDM) to build a machine learning model to predict basic human activities using a smartphone accelerometer, Using Tensorflow framework, recurrent neural nets and multiple stacks of Long-short-term memory units(LSTM) for building a deep network. After the model was trained, it was saved and exported to an android application and the predictions were made using the model and the interface to

Muscletorch ⭐ 18

What Can You Learn from Your Muscles? Learning Visual Representation from Human Interactions (https://arxiv.org/pdf/2010.08539.pdf)

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