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Drift Removal for Improving the Accuracy of Gait Parameters Using Wearable Sensor Systems


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タイトル: Drift Removal for Improving the Accuracy of Gait Parameters Using Wearable Sensor Systems
著者: Takeda, Ryo 著作を一覧する
Lisco, Giulia 著作を一覧する
Fujisawa, Tadashi 著作を一覧する
Gastaldi, Laura 著作を一覧する
Tohyama, Harukazu 著作を一覧する
Tadano, Shigeru 著作を一覧する
キーワード: gait analysis
wearable sensors
drift effect
Lower Limb Kinematics
spatio-temporal gait parameter
発行日: 2014年12月
出版者: MDPI
誌名: Sensors
巻: 14
号: 12
開始ページ: 23230
終了ページ: 23247
出版社 DOI: 10.3390/s141223230
抄録: Accumulated signal noise will cause the integrated values to drift from the true value when measuring orientation angles of wearable sensors. This work proposes a novel method to reduce the effect of this drift to accurately measure human gait using wearable sensors. Firstly, an infinite impulse response (IIR) digital 4th order Butterworth filter was implemented to remove the noise from the raw gyro sensor data. Secondly, the mode value of the static state gyro sensor data was subtracted from the measured data to remove offset values. Thirdly, a robust double derivative and integration method was introduced to remove any remaining drift error from the data. Lastly, sensor attachment errors were minimized by establishing the gravitational acceleration vector from the acceleration data at standing upright and sitting posture. These improvements proposed allowed for removing the drift effect, and showed an average of 2.1 degrees, 33.3 degrees, 15.6 degrees difference for the hip knee and ankle joint flexion/extension angle, when compared to without implementation. Kinematic and spatio-temporal gait parameters were also calculated from the heel-contact and toe-off timing of the foot. The data provided in this work showed potential of using wearable sensors in clinical evaluation of patients with gait-related diseases.
資料タイプ: article
出現コレクション:雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

提供者: 武田 量


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