output
20132026
most citedUsing Riemannian geometry for SSVEP-based Brain Computer Interface

108 citations

17 papers

cs.RO2026

Towards Ubiquitous Mapping and Localization for Dynamic Indoor Environments

Halim Djerroud, Nico Steyn, Olivier Rabreau +2

We present UbiSLAM, an innovative solution for real-time mapping and localization in dynamic indoor environments. By deploying a network of fixed RGB-D cameras strategically throug…

cs.RO2024

Learning Bipedal Walking for Humanoid Robots in Challenging Environments with Obstacle Avoidance

Marwan Hamze, Mitsuharu Morisawa, Eiichi Yoshida

Deep reinforcement learning has seen successful implementations on humanoid robots to achieve dynamic walking. However, these implementations have been so far successful in simple…

cs.RO2024

The Kinetics Observer: A Tightly Coupled Estimator for Legged Robots

Arnaud Demont, Mehdi Benallegue, Abdelaziz Benallegue +5

This paper presents the Kinetics Observer, a novel proprioceptive state estimator for legged robots designed to provide the feedback required for versatile locomotion and physical…

cs.AI2022★ 1 cited

Modelling and Detection of Driver's Fatigue using Ontology

Alexandre Lambert, Manolo Dulva Hina, Celine Barth +2

Road accidents have become the eight leading cause of death all over the world. Lots of these accidents are due to a driver's inattention or lack of focus, due to fatigue. Various…

cs.LG2022★ 1 cited

End-to-end P300 BCI using Bayesian accumulation of Riemannian probabilities

Quentin Barthélemy, Sylvain Chevallier, Raphaëlle Bertrand-Lalo +1

In brain-computer interfaces (BCI), most of the approaches based on event-related potential (ERP) focus on the detection of P300, aiming for single trial classification for a spell…

eess.SP2022★ 1 cited

2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets

Xiaoxi Wei, A. Aldo Faisal, Moritz Grosse-Wentrup +18

Transfer learning and meta-learning offer some of the most promising avenues to unlock the scalability of healthcare and consumer technologies driven by biosignal data. This is bec…

eess.SP2021★ 11 cited

Minimizing subject-dependent calibration for BCI with Riemannian transfer learning

Salim Khazem, Sylvain Chevallier, Quentin Barthélemy +2

Calibration is still an important issue for user experience in Brain-Computer Interfaces (BCI). Common experimental designs often involve a lengthy training period that raises the…

eess.SP2021★ 1 cited

RIGOLETTO -- RIemannian GeOmetry LEarning: applicaTion To cOnnectivity. A contribution to the Clinical BCI Challenge -- WCCI2020

Marie-Constance Corsi, Florian Yger, Sylvain Chevallier +1

This short technical report describes the approach submitted to the Clinical BCI Challenge-WCCI2020. This submission aims to classify motor imagery task from EEG signals and relies…

cs.RO2020★ 12 cited

Lyapunov-Stable Orientation Estimator for Humanoid Robots

Mehdi Benallegue, Rafael Cisneros, Abdelaziz Benallegue +3

In this paper, we present an observation scheme, with proven Lyapunov stability, for estimating a humanoid's floating base orientation. The idea is to use velocity aided attitude e…

math.OC2020★ 3 cited

Velocity-aided IMU-based Attitude Estimation

Mehdi Benallegue, Abdelaziz Benallegue, Rafael Cisneros +1

This paper addresses the problem of estimating the attitude of a rigid body, which is subject to high accelerations and equipped with inertial measurement unit (IMU) and sensors pr…

cs.RO2018

Tilt estimator for 3D non-rigid pendulum based on a tri-axial accelerometer and gyrometer

Mehdi Benallegue, Abdelaziz Benallegue, Yacine Chitour

The paper presents a new observer for tilt estimation of a 3-D non-rigid pendulum. The system can be seen as a multibody robot attached to the environment with a ball joint. There…

cond-mat.soft2017

Constitutive equations for an electro-active polymer

Mireille Tixier, Joël Pouget

Ionic electro-active polymers (E.A.P.) can be used as sensors or actuators. For this purpose, a thin film of polyelectrolyte is saturated with a solvent and sandwiched between two…

cs.CV2016★ 2 cited

Adaptive Visualisation System for Construction Building Information Models Using Saliency

Hugo Martin, Sylvain Chevallier, Eric Monacelli

Building Information Modeling (BIM) is a recent construction process based on a 3D model, containing every component related to the building achievement. Architects, structure engi…

cond-mat.mtrl-sci2015★ 2 cited

Hints on the origin of the thermal hysteresis suppression in giant magnetocaloric thin films irradiatied with highly charged ions

S Cervera, M Trassinelli, M Marangolo +13

In a recent experiment we demonstrated the possibility to suppress the thermal hysteresis of the phase transition in giant magnetocaloric MnAs thin film by interaction with slow hi…

cs.LG2015★ 108 cited

Using Riemannian geometry for SSVEP-based Brain Computer Interface

Emmanuel K. Kalunga, Sylvain Chevallier, Quentin Barthelemy

Riemannian geometry has been applied to Brain Computer Interface (BCI) for brain signals classification yielding promising results. Studying electroencephalographic (EEG) signals f…

physics.med-ph2014★ 36 cited

Multiscale approach including microfibril scale to assess elastic constants of cortical bone based on neural network computation and homogenization method

Abdelwahed Barkaoui, Abdessalem Chamekh, Merzouki Tarek +2

The complexity and heterogeneity of bone tissue require a multiscale modelling to understand its mechanical behaviour and its remodelling mechanisms. In this paper, a novel multisc…

cs.LG2013★ 3 cited

Metrics for Multivariate Dictionaries

Sylvain Chevallier, Quentin Barthélemy, Jamal Atif

Overcomplete representations and dictionary learning algorithms kept attracting a growing interest in the machine learning community. This paper addresses the emerging problem of c…