ASK: A Framework for Data Acquisition and Activity Recognition

Hui Liu, Tanja Schultz

2018

Abstract

This work puts forward a framework for the acquisition and processing of biosignals to indicate strain on the knee inflicted by human everyday activities. Such a framework involves the appropriate equipment in devices and sensors to capture factors that inflict strain on the knee, the long-term recording and archiving of corresponding multi-sensory biosignal data, the semi-automatic annotation and segmentation of these data, and the person-dependent or person-adaptive automatic recognition of strain. In this paper we present first steps toward our goal, i.e. person-dependent recognition of a small set of human everyday activities. The focus here is on the fully automatic end-to-end processing from signal input to recognition output. The framework was applied to collect and process a small pilot dataset from one person for a proof-of-concept validation and achieved 97% accuracy in recognizing instances of seven daily activities.

Paper Citation

in Harvard Style

Liu H. and Schultz T. (2018). ASK: A Framework for Data Acquisition and Activity Recognition. In Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - Volume 4: BIOSIGNALS; ISBN 978-989-758-279-0, SciTePress, pages 262-268. DOI: 10.5220/0006732902620268

in Bibtex Style

@conference{biosignals18,
author={Hui Liu and Tanja Schultz},
title={ASK: A Framework for Data Acquisition and Activity Recognition},
booktitle={Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - Volume 4: BIOSIGNALS},
year={2018},
pages={262-268},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006732902620268},
isbn={978-989-758-279-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - Volume 4: BIOSIGNALS
TI - ASK: A Framework for Data Acquisition and Activity Recognition
SN - 978-989-758-279-0
AU - Liu H.
AU - Schultz T.
PY - 2018
SP - 262
EP - 268
DO - 10.5220/0006732902620268
PB - SciTePress