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Robust Foot Clearance Estimation Based on the Integration of Foot-Mounted IMU Acceleration Data

Overview of attention for article published in Sensors, December 2015
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Article details
Title
Robust Foot Clearance Estimation Based on the Integration of Foot-Mounted IMU Acceleration Data
Published in
Sensors, December 2015
DOI 10.3390/s16010012
Pubmed ID
Authors
Abstract

This paper introduces a method for the robust estimation of foot clearance during walking, using a single inertial measurement unit (IMU) placed on the subject's foot. The proposed solution is based on double integration and drift cancellation of foot acceleration signals. The method is insensitive to misalignment of IMU axes with respect to foot axes. Details are provided regarding calibration and signal processing procedures. Experimental validation was performed on 10 healthy subjects under three walking conditions: normal, fast and with obstacles. Foot clearance estimation results were compared to measurements from an optical motion capture system. The mean error between them is significantly less than 15 % under the various walking conditions.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 1 <1%
Unknown 129 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 22 17%
Researcher 20 15%
Student > Master 18 14%
Student > Bachelor 11 8%
Student > Doctoral Student 3 2%
Other 11 8%
Unknown 45 35%
Readers by discipline
Readers by discipline Count As %
Engineering 44 34%
Computer Science 9 7%
Sports and Recreations 7 5%
Nursing and Health Professions 5 4%
Neuroscience 3 2%
Other 12 9%
Unknown 50 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 December 2015.
All research outputs
#24,996,526
of 27,780,120 outputs
Outputs from Sensors
#19,156
of 30,335 outputs
Outputs of similar age
#348,030
of 403,771 outputs
Outputs of similar age from Sensors
#149
of 205 outputs
Altmetric has tracked 27,780,120 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 30,335 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 205 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.