Dataset

In this project, time series classification is used to predict the pattern of user movements in real-world office environments.

This problem involves determining whether or not an individual has moved between rooms based on time series of radio signal strength (RSS) between nodes of a Wireless Sensor Network (WSN).

The dataset was collected and made available by researchers from the University of Pisa in Italy. It is described in their paper An experimental characterization of reservoir computing in ambient assisted living applications.

Downloading the dataset

The dataset can be found in the UCI Machine Learning Repository using this link.

Dataset structure

For this task, the dataset directory contains all the necessary data. The files are organized as below:

Dataset (can be named anything you want ... specify THIS directory when running combine_dfs.py)
    dataset
        MovementAAL_RSS_1.csv
        MovementAAL_RSS_2.csv
        ...
        MovementAAL_target.csv

Each of the MovementAAL_RSS_{id} files represents a time series with measurements in chronological order and contains four columns representing the RSS measurements.

MovementAAL_target.csv contains the label for each of these time series. The target class 1 represents location changing movements, while -1 reprents location preserving movements.

How to run the code

Install the required libraries using the following command:

pip install -r requirements.txt

Run combine_dfs.py to aggregate all the time series samples. This program takes command-line input for the dataset directory. For example, if the relative path to the dataset is Dataset, run the program using the following command:

python combine_dfs.py Dataset.

This splits the data into training and testing data and generates 4 files:

• train.csv - contains the training time series samples
• test.csv - contains the testing time series samples
• train_labels.csv - contains the classification of each sample in train.csv
• test_labels.csv - contains the classification of each sample in test.csv

After running the program, this is how the files will be organized:

Dataset
    dataset
        MovementAAL_RSS_1.csv
        MovementAAL_RSS_2.csv
        ...
        MovementAAL_target.csv
        
Method 1
    ... code for method 1

train_labels.csv
train.csv
test_labels.csv
test.csv
...