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Authors: Dong Ik Shin 1 ; Sekyeong Joo 2 and Soo Jin Huh 2

Affiliations: 1 Asan Medical Center, Korea, Republic of ; 2 University of Ulsan College of Medicine, Korea, Republic of

Keyword(s): Accuracy, Activity, Daily Life, Sensor, Position, Accelerometer.

Related Ontology Subjects/Areas/Topics: Biomedical Engineering ; Biomedical Equipment ; Biomedical Instruments and Devices ; Biomedical Sensors ; Devices ; Health Monitoring Devices ; Human-Computer Interaction ; Physiological Computing Systems

Abstract: The monitoring of single elderly is being more important due to rapid transition to aging society. There are many bio-signals to monitor the emergent state of elderly. In this paper we propose new criteria to classify daily life activities using accelerometer and pulse oximeter. We categorized activities with the motility of real action. The upper most criteria are normal and abnormal activity. The lower criteria are ‘small or large movement’, ‘periodic or random movement’, ‘no movement or shock’. Then we derive some parameters to get thresholds to classify these activities according to our new criteria. The main parameters are entropy, energy and autocorrelation. Some experiments were carried out to determine classifying thresholds. Finally we got results of classified activities such as ‘no movements’, ‘small movements’, ‘large movements’, ‘periodic movements’ and ‘falls’. We got nearly 100% of classifying result for falls and no movements. In this case of ‘quasi-emergency state’ our developing device investigates further status of elderly by measuring of heart rate and oxygen saturation (SpO2) using pulse oximeter. Finally the device decides in emergency, it sends a short message to server and then connects to the u-Healthcare centre or emergency centre and one’s family. (More)

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Paper citation in several formats:
Shin, D.; Joo, S. and Huh, S. (2015). Comparison of Recognition Accuracy of ADL with Sensor Wearing Positions using 3-Axis Accelerometer. In Proceedings of the International Conference on Biomedical Electronics and Devices (BIOSTEC 2015) - BIODEVICES; ISBN 978-989-758-071-0; ISSN 2184-4305, SciTePress, pages 180-184. DOI: 10.5220/0005279901800184

@conference{biodevices15,
author={Dong Ik Shin. and Sekyeong Joo. and Soo Jin Huh.},
title={Comparison of Recognition Accuracy of ADL with Sensor Wearing Positions using 3-Axis Accelerometer},
booktitle={Proceedings of the International Conference on Biomedical Electronics and Devices (BIOSTEC 2015) - BIODEVICES},
year={2015},
pages={180-184},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005279901800184},
isbn={978-989-758-071-0},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Biomedical Electronics and Devices (BIOSTEC 2015) - BIODEVICES
TI - Comparison of Recognition Accuracy of ADL with Sensor Wearing Positions using 3-Axis Accelerometer
SN - 978-989-758-071-0
IS - 2184-4305
AU - Shin, D.
AU - Joo, S.
AU - Huh, S.
PY - 2015
SP - 180
EP - 184
DO - 10.5220/0005279901800184
PB - SciTePress