A Practical Wearable Sensor-based Human Activity Recognition Research Pipeline

Hui Liu, Yale Hartmann, Tanja Schultz

2022

Abstract

Many researchers devote themselves to studying various aspects of Human Activity Recognition (HAR), such as data analysis, signal processing, feature extraction, and machine learning models. In response to the fact that few documents summarize and form intuitive paradigms for the entire HAR research pipeline, based on the purpose of sharing our years of research experience, we propose a practical, comprehensive HAR research pipeline, called HAR-Pipeline, composed of nine research aspects, aiming to reflect the overall perspective of HAR research topics to the greatest extent and indicate the sequence and relationship between the tasks. Supplemented by the outcomes of our actual series of studies as examples, we demonstrate the proposed pipeline’s rationality and feasibility.

Paper Citation

in Harvard Style

Liu H., Hartmann Y. and Schultz T. (2022). A Practical Wearable Sensor-based Human Activity Recognition Research Pipeline. In Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: WHC, ISBN 978-989-758-552-4, pages 847-856. DOI: 10.5220/0010937000003123

in Bibtex Style

@conference{whc22,
author={Hui Liu and Yale Hartmann and Tanja Schultz},
title={A Practical Wearable Sensor-based Human Activity Recognition Research Pipeline},
booktitle={Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: WHC,},
year={2022},
pages={847-856},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010937000003123},
isbn={978-989-758-552-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: WHC,
TI - A Practical Wearable Sensor-based Human Activity Recognition Research Pipeline
SN - 978-989-758-552-4
AU - Liu H.
AU - Hartmann Y.
AU - Schultz T.
PY - 2022
SP - 847
EP - 856
DO - 10.5220/0010937000003123