A Wearable Real-time Human Activity Recognition System using Biosensors Integrated into a Knee Bandage

Hui Liu, Tanja Schultz

2019

Abstract

This work introduces an innovative wearable real-time Human Activity Recognition (HAR) system. The system processes and decodes various biosignals that are captured from biosensors integrated into a knee bandage. The presented work includes (1) the selection of an appropriate equipment in terms of devices and sensors to capture human activity-related biosignals in real time, (2) the experimental tuning of system parameters which balances recognition accuracy with real-time performance, (3) the intuitive visualization of biosignals as well as n-best recognition results in the graphical user interfaces, and (4) the on-the-air extensions for rapid prototyping of applications. The presented system recognizes seven daily activities: sit, stand, stand up, sit down, walk, turn left and turn right. The amount of activity classes to be recognized can be easily extended by the ”plug-and-play” function. To the best of our knowledge, this is the first work which demonstrates a real-time HAR system using biosensors integrated into a knee bandage.

Paper Citation

in Harvard Style

Liu H. and Schultz T. (2019). A Wearable Real-time Human Activity Recognition System using Biosensors Integrated into a Knee Bandage. In Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 1: BIODEVICES; ISBN 978-989-758-353-7, SciTePress, pages 47-55. DOI: 10.5220/0007398800470055

in Bibtex Style

@conference{biodevices19,
author={Hui Liu and Tanja Schultz},
title={A Wearable Real-time Human Activity Recognition System using Biosensors Integrated into a Knee Bandage},
booktitle={Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 1: BIODEVICES},
year={2019},
pages={47-55},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007398800470055},
isbn={978-989-758-353-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 1: BIODEVICES
TI - A Wearable Real-time Human Activity Recognition System using Biosensors Integrated into a Knee Bandage
SN - 978-989-758-353-7
AU - Liu H.
AU - Schultz T.
PY - 2019
SP - 47
EP - 55
DO - 10.5220/0007398800470055
PB - SciTePress