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For recognising hand gestures using RNN and LSTM... Implementation in TensorFlow

License: Other

Python 98.70% Shell 1.30%
tensorflow recurrent-neural-networks lstm-neural-networks rnn-tensorflow long-short-term-memory-models

rnn_lstm_gesture_recog's Introduction

rnn_lstm_gesture_recog

For recognising hand gestures using RNN and LSTM... Implementation in TensorFlow

In this git repo, there are 4 main files that represent the current implementation. Rest are for testing purposes. These 4 files can be copied for other implementations.

  1. rnn_lstm_optimized.py --- This python script is the optimized implementation. It trains the model on the data and then tests the accuracy and records it.

  2. rnn_lstm_train.py --- This python script file is for training the model on the data and then string the model and the graph in the folder trained_model.

  3. rnn_lstm_test.py --- This python script file is for testing the accuracy of the saved trained model.

  4. rnn_lstm_testing.py --- It calculates and depicts the accuracy of prediction of the model across the 4 classes of gestures. It also represents the standard deviation for each class during prediction.

Link to the Research Paper --- https://link.springer.com/content/pdf/10.1007%2F978-3-319-72038-8_3.pdf

Please cite the following paper:

Dynamic Hand Gesture Recognition for Mobile Systems Using Deep LSTM (Link for Paper -- https://link.springer.com/content/pdf/10.1007%2F978-3-319-72038-8_3.pdf)

Citation ---

Sarkar, A., Gepperth, A., Handmann, U., & Kopinski, T. (2017, December). Dynamic Hand Gesture Recognition for Mobile Systems Using Deep LSTM. In International Conference on Intelligent Human Computer Interaction (pp. 19-31). Springer, Cham.

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rnn_lstm_gesture_recog's Issues

Dataset

Where's the dataset that you've used?
May you provide it?

Support for android

Is there any means by which we can create model file so it can be used for android devices?

dataset

may i know what is the dataset? can i use my own dataset to train with your script? how can i do it?

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