Effectiveness of Variable-Gain Kalman Filter Based on Angle Error Calculated from Acceleration Signals in Lower Limb Angle Measurement with Inertial Sensors
المؤلفون المشاركون
Watanabe, Takashi
Teruyama, Yuta
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2013-10-27
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
The wearable sensor system developed by our group, which measured lower limb angles using Kalman-filtering-based method, was suggested to be useful in evaluation of gait function for rehabilitation support.
However, it was expected to reduce variations of measurement errors.
In this paper, a variable-Kalman-gain method based on angle error that was calculated from acceleration signals was proposed to improve measurement accuracy.
The proposed method was tested comparing to fixed-gain Kalman filter and a variable-Kalman-gain method that was based on acceleration magnitude used in previous studies.
First, in angle measurement in treadmill walking, the proposed method measured lower limb angles with the highest measurement accuracy and improved significantly foot inclination angle measurement, while it improved slightly shank and thigh inclination angles.
The variable-gain method based on acceleration magnitude was not effective for our Kalman filter system.
Then, in angle measurement of a rigid body model, it was shown that the proposed method had measurement accuracy similar to or higher than results seen in other studies that used markers of camera-based motion measurement system fixing on a rigid plate together with a sensor or on the sensor directly.
The proposed method was found to be effective in angle measurement with inertial sensors.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Teruyama, Yuta& Watanabe, Takashi. 2013. Effectiveness of Variable-Gain Kalman Filter Based on Angle Error Calculated from Acceleration Signals in Lower Limb Angle Measurement with Inertial Sensors. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-468975
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Teruyama, Yuta& Watanabe, Takashi. Effectiveness of Variable-Gain Kalman Filter Based on Angle Error Calculated from Acceleration Signals in Lower Limb Angle Measurement with Inertial Sensors. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-12.
https://search.emarefa.net/detail/BIM-468975
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Teruyama, Yuta& Watanabe, Takashi. Effectiveness of Variable-Gain Kalman Filter Based on Angle Error Calculated from Acceleration Signals in Lower Limb Angle Measurement with Inertial Sensors. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-468975
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-468975
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر