2016
DOI: 10.1109/tim.2015.2504078
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Using Distributed Wearable Sensors to Measure and Evaluate Human Lower Limb Motions

Abstract: Abstract-This paper presents a wearable sensor approach to motion measurements of human lower limbs, in which subjects perform specified walking trials at self-administered speeds so that their level walking and stair ascent capacity can be effectively evaluated. After an initial sensor alignment with the reduced error, quaternion is used to represent 3-D orientation and an optimized gradient descent algorithm is deployed to calculate the quaternion derivative. Sensors on the shank offer additional information… Show more

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Cited by 132 publications
(64 citation statements)
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References 29 publications
(40 reference statements)
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“…Considering the above sensor data characteristics and to reduce the drifts of acceleration, several data fusion algorithms were presented, such as Kalman filters [19] [18], complementary filters [23], and particle filters [24]. In this work, we used a CF algorithm that fuses the acceleration and angular velocity data to correct acceleration in the swing phase, as shown in Fig.5.…”
Section: Fig4 Flow Chart Of the Gait Altitude Estimation Algorithmmentioning
confidence: 99%
See 1 more Smart Citation
“…Considering the above sensor data characteristics and to reduce the drifts of acceleration, several data fusion algorithms were presented, such as Kalman filters [19] [18], complementary filters [23], and particle filters [24]. In this work, we used a CF algorithm that fuses the acceleration and angular velocity data to correct acceleration in the swing phase, as shown in Fig.5.…”
Section: Fig4 Flow Chart Of the Gait Altitude Estimation Algorithmmentioning
confidence: 99%
“…On the vertical direction, multi-sensor-based methods were developed to reduce the error of the estimated altitude. For example, the Denavit-Hartenberg (DH) method was built based on three sensor nodes worn on one lower limb [18]. But in most occasions, people prefer wearing fewer sensors on their body.…”
Section: Introductionmentioning
confidence: 99%
“…We assumed that these experimental settings were practical for use by general agricultural workers, directors, and managers to obtain time-series of visual data for diverse analyses of outdoor experiments with reference to past studies [5], [10], [12], [14], [15].…”
Section: System and Theory Of Visual Data Analysismentioning
confidence: 99%
“…It is convenient to incorporated ZVU into the PDR 250 system by formulating it as pseudomeasurements of zero velocity. ZVU must only be implemented when the foot is completely at the stance phase [25] [26].…”
mentioning
confidence: 99%