Template-Based Step Detection with Inertial Measurement Units

Laurent Oudre (1) , Rémi Barrois-Müller , Thomas Moreau (2) , Charles Truong , Aliénor Vienne-Jumeau , Damien Ricard (3) , Nicolas Vayatis (4) , Pierre-Paul Vidal (5)

1 TSI - Département Traitement du Signal et des Images
2 Equipe DSBC
3 Service de neurologie [Paris]
4 CMLA - Centre de Mathématiques et de Leurs Applications
5 LNRS - Laboratoire de Neurobiologie des Réseaux Sensorimoteurs

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.

Mots clés: inertial measurement units; gait analysis; biomedical signal processing; pattern recognition; step detection; physiological signals

Domaines: Ingénierie biomédicale

Laurent Oudre, Rémi Barrois-Müller, Thomas Moreau, Charles Truong, Aliénor Vienne-Jumeau, et al.. Template-Based Step Detection with Inertial Measurement Units. Sensors, 2018, 18 (11), pp.4033. ⟨10.3390/s18114033⟩. ⟨hal-02442709⟩