This repository contains the collected wearable data from 10 participants at University of Massachusetts Lowell. This paper describes the dataset.
Dataset can be loaded in python script using read_dataset.py
import read_dataset
path_to_dataset = "./" # Path to the folder containing the dataset
test_subject = "S10" # the subject to be used as test set [S1, S2, ..., S10]
# Get data in np.array format
[X_train, y_train, epochs, X_test, y_test, test_epochs, kcal_MET, test_kcal_MET] = read_dataset.main(path_to_dataset, test=test_subject)
The file visualize_UML-HAR20.ipynb
shows how to simply read the data.
If this repository was useful for your research, please cite.
@ARTICLE{UML-HAR20,
author={Barut, Onur and Zhou, Li and Luo, Yan},
journal={IEEE Internet of Things Journal},
title={Multitask LSTM Model for Human Activity Recognition and Intensity Estimation Using Wearable Sensor Data},
year={2020},
volume={7},
number={9},
pages={8760-8768},
doi={10.1109/JIOT.2020.2996578}}