An algebraic approach for human posture estimation in the sagittal plane using accelerometer noisy signal

Wilfrid Perruquetti 1 Mamadou Mboup 1, 2 Rosane Ushirobira 1, 3 Philippe Fraisse 4, 5 Vincent Bonnet 6, 4
1 NON-A - Non-Asymptotic estimation for online systems
Inria Lille - Nord Europe, CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
4 DEMAR - Artificial movement and gait restoration
CRISAM - Inria Sophia Antipolis - Méditerranée , LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
5 IDH - Interactive Digital Humans
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : Our aim is to develop an algebraic approach to estimate human posture in the sagittal plane using Inertial Measurement Unit (IMU) providing accelerations and angular velocities. To do it so, we address the issue of the estimation of the amplitude, frequency and phase of a biased and noisy sum of three sinusoidal waveform signals on a moving time horizon. Since the length of the time window is small, the estimation must be done within a fraction of the signal's period. The problem is solved via algebraic techniques (see [38] for the theoretical part concerning this problem). The efficiency of our approach is illustrated by computer simulations.
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Wilfrid Perruquetti, Mamadou Mboup, Rosane Ushirobira, Philippe Fraisse, Vincent Bonnet. An algebraic approach for human posture estimation in the sagittal plane using accelerometer noisy signal. CDC: Conference on Decision and Control, Dec 2012, Maui, HI, United States. pp.7389-7394, ⟨10.1109/CDC.2012.6426001⟩. ⟨hal-00733516⟩

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