Drift removal for improving the accuracy of gait parameters using wearable sensor systems
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2014
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Abstract
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 res …
| Reference Key |
r2014sensorsdrift
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| Authors | Takeda R;Lisco G;Fujisawa T;Gastaldi L;Tohyama H;Tadano S;; |
| Journal | sensors |
| Year | 2014 |
| DOI |
DOI not found
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| URL | |
| Keywords |
Monitoring
National Center for Biotechnology Information
NCBI
NLM
MEDLINE
humans
pubmed abstract
nih
national institutes of health
national library of medicine
reproducibility of results
equipment design
sensitivity and specificity
Evaluation Study
actigraphy / methods
algorithms*
computer-assisted
signal processing
signal-to-noise ratio
equipment failure analysis
transducers*
shigeru tadano
pmid:25490587
pmc4299060
doi:10.3390/s141223230
ryo takeda
giulia lisco
actigraphy / instrumentation*
artifacts*
gait / physiology*
leg / physiology
ambulatory / instrumentation*
ambulatory / methods
|
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