Template-Based Step Detection with Inertial Measurement Units

This article presents a method for step detection from accelerometer and gyrometer signals recorded with Inertial Measurement Units (IMUs). The principle of our step detection algorithm is to recognize the start and end times of the steps in the signal thanks to a predefined library of templates. Th...

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Vydáno v:Sensors (Basel, Switzerland) Ročník 18; číslo 11; s. 4033
Hlavní autoři: Oudre, Laurent, Barrois-Müller, Rémi, Moreau, Thomas, Truong, Charles, Vienne-Jumeau, Aliénor, Ricard, Damien, Vayatis, Nicolas, Vidal, Pierre-Paul
Médium: Journal Article
Jazyk:angličtina
Vydáno: Switzerland MDPI 19.11.2018
MDPI AG
Témata:
Bioengineering
biomedical signal processing
gait analysis
inertial measurement units
Life Sciences
pattern recognition
physiological signals
step detection
biomedical signal processing
step detection
physiological signals
gait analysis
inertial measurement units
pattern recognition
ISSN:1424-8220, 1424-8220
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Shrnutí:This article presents a method for step detection from accelerometer and gyrometer signals recorded with Inertial Measurement Units (IMUs). The principle of our step detection algorithm is to recognize the start and end times of the steps in the signal thanks to a predefined library of templates. The algorithm is tested on a database of 1020 recordings, composed of healthy subjects and patients with various neurological or orthopedic troubles. Simulations on more than 40,000 steps show that the template-based method achieves remarkable results with a 98% recall and a 98% precision. The method adapts well to pathological subjects and can be used in a medical context for robust step estimation and gait characterization.
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ISSN:1424-8220
1424-8220
DOI:10.3390/s18114033