Non-Invasive Sensoring for Elderly Monitoring (Dataset)

Published: 25 July 2018| Version 1 | DOI: 10.17632/4nchsm53k2.1
Contributor:
Santosh Yadav

Description

Dataset Folder contains 2 files: and 1 folder:- a)Common_Test.csv - contains 269476 observations for testing. b)Common_Train.csv - contains 1011626 observations for training. c)Research Code folder contains all the code of the paper. CNN.ipynb - cnn algorithm implementation. LSTM.ipynb - lstm algorithm implementation. Shoes_CNN+LSTM.ipynb - implementation using combination of cnn and lstm.

Files

Steps to reproduce

Dependency 1)python 3 - anaconda distribution. 2)TensorFlow. Open the the code in research code folder and run them through jupyter notebook.

Categories

Activity Recognition, Neural Networks, Wearable Sensor

Licence