Félix Bigand

Félix Bigand
Istituto Italiano di Tecnologia | IIT · Neuroscience of Perception and Action lab (Rome)

PhD

About

14
Publications
1,224
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33
Citations

Publications

Publications (14)
Article
Anecdotally, horses' gaits sound rhythmic. Are they really? In this study, we quantified the motor rhythmicity of horses across three different gaits (walk, trot, and canter). For the first time, we adopted quantitative tools from bioacoustics and music cognition to quantify locomotor rhythmicity. Specifically, we tested whether kinematics data con...
Preprint
Full-text available
Real-world social cognition requires processing and adapting to multiple dynamic information streams. Interpreting neural activity in such ecological conditions remains a key challenge for neuroscience. This study leverages advancements in de-noising techniques and multivariate modeling to extract interpretable EEG signals from pairs of participant...
Article
Full-text available
Collective synchronized behavior has powerful social-communicative functions observed across several animal taxa.¹,²,³,⁴,⁵,⁶,⁷ Operationally, synchronized behavior can be explained by individuals responding to shared external cues (e.g., light, sound, or food) as well as by inter-individual adaptation.³,⁸,⁹,¹⁰,¹¹ We contrasted these accounts in the...
Thesis
Full-text available
Many technological barriers must be tackled in order to provide tools in Sign Languages (SLs) in the same way as for spoken languages. For that aim, further insights must be gained into multiple disciplines, in particular motion science. More specifically, the present thesis aims to gain insights into the possibility of anonymizing the movements of...
Article
Full-text available
Sign Language (SL) is a continuous and complex stream of multiple body movement features. That raises the challenging issue of providing efficient computational models for the description and analysis of these movements. In the present paper, we used Principal Component Analysis (PCA) to decompose SL motion into elementary movements called principa...
Article
Full-text available
Sign language (SL) motion contains information about the identity of a signer, as does voice for a speaker or gait for a walker. However, how such information is encoded in the movements of a person remains unclear. In the present study, a machine learning model was trained to extract the motion features allowing for the automatic identification of...
Conference Paper
Full-text available
This paper deals with the movement of virtual signers, and more particularly with the notion of biological motion and the issue of anonymization. Animating an avatar from motion models as biological as possible is important to ensure perceptual acceptability. Recording real movements thanks to motion capture systems and mapping them to an avatar ca...
Conference Paper
Full-text available
This paper presents an ongoing PhD research project on visual perception and motion analysis applied to virtual signers (virtual agents used for Sign Language interaction). Virtual signers (or signing avatars) play an important role in the accesibility of information in sign languages. They have been developed notably for their capability to anonym...

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