Measuring and Classifying Land-Based and Water-Based Daily Living Activities Using Inertial Sensors

Koichi Kaneda; Yuji Ohgi; Mark McKean; Brendan J Burkett

doi:10.3390/proceedings2060298

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Measuring and Classifying Land-Based and Water-Based Daily Living Activities Using Inertial Sensors

Conference paper

Open access

Peer reviewed

Measuring and Classifying Land-Based and Water-Based Daily Living Activities Using Inertial Sensors

Koichi Kaneda, Yuji Ohgi, Mark McKean and Brendan J Burkett

Proceedings, Vol.2(6), pp.1-6

International Sports Engineering Association Conference (ISEA 2018), 12th (Brisbane, Australia, 26-Mar-2018–29-Mar-2018)

MDPI AG

2018

DOI: https://doi.org/10.3390/proceedings2060298

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Abstract

Biomedical Engineering

Mechanical Engineering

Interdisciplinary Engineering

underwater

immersion

accelerometer

gyroscope

ADL

This study classified motions of typical daily activities in both environments using inertial sensors attached at the chest and thigh to determine the optimal site to attach the sensors. Walking, chair standing and sitting, and step climbing were conducted both in water and on land. A mean, variance and skewness for acceleration data was calculated. A Neural Network and Decision Tree algorithm was applied for classifying each motion in both environments. In total, 126 and 144 samples of thigh and chest data sets were obtained for analysis in each condition. For the chest data, the algorithm correctly classified 80% of the water-based activities, and 90% of the land-based. Whilst the thigh sensor correctly classified 97% of water-based and 100% of land-based activities. The inertial sensor placed on the thigh provided the most appropriate protocol for classifying motions for land-based and water-based typical daily life activities.

Details

Title: Measuring and Classifying Land-Based and Water-Based Daily Living Activities Using Inertial Sensors
Authors: Koichi Kaneda (Author) - Chiba Institute of Technology
Yuji Ohgi (Author) - Keio University
Mark McKean (Author) - University of the Sunshine Coast - Faculty of Science, Health, Education and Engineering
Brendan J Burkett (Author) - University of the Sunshine Coast - Faculty of Science, Health, Education and Engineering
Contributors: Hugo G Espinosa (Editor)
David R Rowlands (Editor)
Jonathan Shepherd (Editor)
David V Thiel (Editor)
Publication details: Proceedings, Vol.2(6), pp.1-6
Conference details: International Sports Engineering Association Conference (ISEA 2018), 12th (Brisbane, Australia, 26-Mar-2018–29-Mar-2018)
Publisher: MDPI AG
Date published: 2018
DOI: 10.3390/proceedings2060298
ISSN: 2504-3900
Copyright note: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
Organisation Unit: High Performance Sport - Legacy; School of Health - High Performance Sport; School of Health - Sports & Exercise Science
Language: English
Record Identifier: 99451103702621
Output Type: Conference paper

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