scispace - formally typeset
B

Benoît G. Bardy

Researcher at University of Montpellier

Publications -  169
Citations -  5552

Benoît G. Bardy is an academic researcher from University of Montpellier. The author has contributed to research in topics: Motor coordination & Body movement. The author has an hindex of 38, co-authored 160 publications receiving 4967 citations. Previous affiliations of Benoît G. Bardy include Aix-Marseille University & Université Paris-Saclay.

Papers
More filters
Proceedings ArticleDOI

Perception and prediction of simple object interactions

TL;DR: Computer simulations of a virtual ball bouncing on a horizontal plane are used to study the correspondence between ability to estimate the ball's elasticity and to predict its future path, suggesting that different strategies and information sources are used for passive perception versus actively predicting future behavior.
Journal ArticleDOI

The acquisition of socio-motor improvisation in the mirror game

TL;DR: It is suggested that movement synchrony contributes more than movement richness to the acquisition of socio-motor improvisation in the mirror game and that synchronization during improvisation improved for all groups whereas movement richness only enhanced for dyads that performed synchronized movements during unintended coordination tasks.
Journal ArticleDOI

Standing or swaying to the beat: Discrete auditory rhythms entrain stance and promote postural coordination stability

TL;DR: The findings demonstrate that human bipedal posture can be actively or spontaneously modulated by an external discrete auditory rhythm, which might be exploited for the purpose of learning and rehabilitation.
Journal ArticleDOI

Self-induced motion sickness and body movement during passive restraint

TL;DR: In this article, the authors found that motion sickness was preceded by changes in displacements of the center of pressure during standing on a force platform, suggesting that passive restraint during stance may be inherently nauseogenic.
Journal ArticleDOI

A structurally optimal control model for predicting and analyzing human postural coordination.

TL;DR: A closed-loop optimal control model predicting changes between in-phase and anti-phase postural coordination during standing and related supra-postural activities and other non-linear transient dynamics phenomena is proposed.