On Computer Mouse Pointing Model Online Identification and Endpoint Prediction

Khalin, Anatolii; Ushirobira, Rosane; Efimov, Denis; Casiez, Géry

Document type :

Article dans une revue scientifique

Title :

On Computer Mouse Pointing Model Online Identification and Endpoint Prediction

Author(s) :

Khalin, Anatolii [Auteur]
Finite-time control and estimation for distributed systems [VALSE]
Ushirobira, Rosane [Auteur]
Finite-time control and estimation for distributed systems [VALSE]
Efimov, Denis [Auteur]

Finite-time control and estimation for distributed systems [VALSE]
Casiez, Géry [Auteur]
Technology and knowledge for interaction [LOKI]

Journal title :

IEEE Transactions on Human-Machine Systems

Publisher :

IEEE

Publication date :

2022-10

ISSN :

2168-2291

HAL domain(s) :

Sciences de l'ingénieur [physics]/Automatique / Robotique

English abstract : [en]

This paper proposes a new simplified pointing model as a feedback-based dynamical system, including both human and computer sides of the process. It takes into account the commutation between the correction and ballistic ...
Show more >This paper proposes a new simplified pointing model as a feedback-based dynamical system, including both human and computer sides of the process. It takes into account the commutation between the correction and ballistic phases in pointing tasks. We use the mouse position increment signal from noisy experimental data to achieve our main objectives: to estimate the model parameters online and predict the task endpoint. Some estimation tools and validation results, applying linear regression techniques on the experimental data are presented. We also compare with a similar prediction algorithm to show the potential of our algorithm's implementation.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

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