Skip to content
#

smartphone-accelerometer

Star

Here is 1 public repository matching this topic...

girishp92 / Human-activity-recognition-using-Recurrent-Neural-Nets-RNN-LSTM-and-Tensorflow-on-Smartphones

Star 83

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 networ…

machine-learning deep-learning proof-of-concept scikit-learn android-application python3 pickle rnn-tensorflow androidstudio lstm-neural-networks pycharm-ide human-activities hidden-units smartphone-accelerometer
  • Updated Sep 25, 2017
  • Python

Improve this page

Add a description, image, and links to the smartphone-accelerometer topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the smartphone-accelerometer topic, visit your repo's landing page and select "manage topics."

Learn more