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Authors: Hui Liu and Tanja Schultz

Affiliation: University of Bremen, Germany

Keyword(s): Biosignals, Signal Processing, Automatic Annotation and Segmentation, Human Activity Recognition.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Vision, Visualization and Computer Graphics ; Devices ; Health Information Systems ; Human-Computer Interaction ; Medical Image Detection, Acquisition, Analysis and Processing ; Physiological Computing Systems ; Wearable Sensors and Systems

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.

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Paper citation in several formats:
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 - BIOSIGNALS, ISBN 978-989-758-279-0; ISSN 2184-4305, pages 262-268. DOI: 10.5220/0006732902620268

@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 - BIOSIGNALS,},
year={2018},
pages={262-268},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006732902620268},
isbn={978-989-758-279-0},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSIGNALS,
TI - ASK: A Framework for Data Acquisition and Activity Recognition
SN - 978-989-758-279-0
IS - 2184-4305
AU - Liu, H.
AU - Schultz, T.
PY - 2018
SP - 262
EP - 268
DO - 10.5220/0006732902620268