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Authors: Kaitai Li 1 and Cong-Cong Zhou 2

Affiliations: 1 Fuzhanghuanzhou BioTech Company, Guoxia Road.258, Yangpu District, Shanghai, P.R. China ; 2 College of Biomedical Engineering and Instrument Science, Biosensor National Special Laboratory, Zhejiang University, Hangzhou 310027, P.R. China

Keyword(s): IMU, Stride Parameters, Gait Analysi.

Abstract: Recently, the spreading application of intelligent mobile devices with integrated sensors such as inertial measurement units (IMU) has attracted the interest of the researchers for designing gait analysis methods based on the captured sensor data. This paper focuses on designing a system which can evaluate the walking ability and the physical agility level of normal people and people with Parkinson’s disease or stroke. The motion signal is collected by three wearable MPU9250 sensors located on both ankles and the center of the waist. Three test scenarios, including 10 meters walking test (10MWT), Time up and go test (TUGT) and Dual-task walking (DTW), are designed in this paper. The results, which concluded time parameters such as standing up time and turning back time as well as walking parameters such as stride length and stride frequency, showed good consistency and high accuracy with Vicon device.

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Paper citation in several formats:
Li, K. and Zhou, C. (2020). Estimation of Gait Parameters based on Motion Sensor Data. In Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - BIODEVICES; ISBN 978-989-758-398-8; ISSN 2184-4305, SciTePress, pages 129-135. DOI: 10.5220/0008963901290135

@conference{biodevices20,
author={Kaitai Li. and Cong{-}Cong Zhou.},
title={Estimation of Gait Parameters based on Motion Sensor Data},
booktitle={Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - BIODEVICES},
year={2020},
pages={129-135},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008963901290135},
isbn={978-989-758-398-8},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - BIODEVICES
TI - Estimation of Gait Parameters based on Motion Sensor Data
SN - 978-989-758-398-8
IS - 2184-4305
AU - Li, K.
AU - Zhou, C.
PY - 2020
SP - 129
EP - 135
DO - 10.5220/0008963901290135
PB - SciTePress

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