Title :

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

Author(s) :

Perruquetti, Wilfrid [Auteur]
Non-Asymptotic estimation for online systems [NON-A]
Mboup, Mamadou [Auteur]
Centre de Recherche en Sciences et Technologies de l'Information et de la Communication - EA 3804 [CRESTIC]
Non-Asymptotic estimation for online systems [NON-A]
Ushirobira, Rosane [Auteur]
Institut de Mathématiques de Bourgogne [Dijon] [IMB]
Non-Asymptotic estimation for online systems [NON-A]
Fraisse, Philippe [Auteur]
Interactive Digital Humans [IDH]
Artificial movement and gait restoration [DEMAR]
Bonnet, Vincent [Auteur]
Artificial movement and gait restoration [DEMAR]
Laboratory of Locomotor Apparatus Bioengineering [LABLAB]

Conference title :

CDC: Conference on Decision and Control

City :

Maui, HI

Country :

Etats-Unis d'Amérique

Start date of the conference :

2012-12-10

Book title :

51st IEEE Conference on Decision and Control

Publication date :

2012-09-18

HAL domain(s) :

Informatique [cs]/Automatique

English abstract : [en]

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 ...
Show more >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.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL