Android application

• Transferring acceleration data Android sends real-time acceleration values ​​to Windows server via Bluetooth communication.

• Get approval from the server Waits for an approval signal from the server. Then stores the identification parameter received from the server.

Windows server

• Communicate with android using bluetooth It configures communication channels with various Android.

• Storing and managing data by device ID Configure a profile to manage acceleration data for each device. Contrast with profile when connecting device.

• Pass the parameters to the deep learning server Pass the parameters to the deep learning server. Choose whether to create a profile or identify this device.

Deep learning server

• Build the learner Data was processed with test set and test label to learn the matrix of acceleration values.

• Saving and loading learned models Store the learned model to save time and recall it when each device connected.

• Calculate the loss After receiving the walk data, the loss is calculated by comparing with the model.

[Tutorial] docker for windows download (+ other OS)

• http://pyrasis.com/Docker/Docker-HOWTO

running jupyter server

• https://plot.ly/python/ipython-notebook-tutorial/

RNN tutorial

• http://aikorea.org/blog/rnn-tutorial-1/

install NLTK

• http://www.nltk.org/install.html

install theano

• http://deeplearning.net/software/theano/install.html

[ Lecture ] "모두를 위한 머신러닝/딥러닝 강의" | hunkim (kim sung hun)

• http://hunkim.github.io/ml/

Stanford Computer Engineering Artificial Intelligence Instruction 'CS231n'

• http://cs231n.stanford.edu/syllabus.html

RNN introduction | Original : colah's blog

• https://brunch.co.kr/@chris-song/9
• http://colah.github.io/posts/2015-08-Understanding-LSTMs/

[ Supplement ] A site that beautifully visualizes the process of machine learning.

• http://www.r2d3.us/visual-intro-to-machine-learning-part-1/

The utility of LSTM

• http://karpathy.github.io/2015/05/21/rnn-effectiveness/

Speeding up with Theano & GPU

• http://www.wildml.com/2015/09/speeding-up-your-neural-network-with-theano-and-the-gpu/