Titre :

Frequency Domain Forecasting Approach for Latency Reduction in Direct Human-Computer Interaction

Auteur(s) :

Aranovskiy, Stanislav [Auteur]
Institut d'Électronique et des Technologies du numéRique [IETR]
CentraleSupélec
Ushirobira, Rosane [Auteur]
Non-Asymptotic estimation for online systems [NON-A]
Efimov, Denis [Auteur]
Non-Asymptotic estimation for online systems [NON-A]
Casiez, Géry [Auteur]
Computing tools to empower users [MJOLNIR]
Université de Lille

Titre de la manifestation scientifique :

CDC 2017 - 56th IEEE Conference on Decision and Control

Ville :

Melbourne

Pays :

Australie

Date de début de la manifestation scientifique :

2017-12-12

Titre de l’ouvrage :

Decision and Control (CDC), 2017 IEEE 56th Annual Conference on

Éditeur :

IEEE

Date de publication :

2018-01-23

Mot(s)-clé(s) en anglais :

Frequency-domain analysis
Prediction algorithms
Trajectory
Finite impulse response filters
Forecasting
Computational modeling

Discipline(s) HAL :

Sciences de l'ingénieur [physics]/Automatique / Robotique
Informatique [cs]/Interface homme-machine [cs.HC]

Résumé en anglais : [en]

The problem of latency reduction in direct human-computer interaction is considered and formulated as a trajectory prediction problem. To solve the problem, the predictor is constructed as a frequency-domain approximation ...
Lire la suite >The problem of latency reduction in direct human-computer interaction is considered and formulated as a trajectory prediction problem. To solve the problem, the predictor is constructed as a frequency-domain approximation of the non-casual ideal predictor. This approximation can be computed analytically, or obtained as an optimization task. An adaptive modification of the forecasting algorithm is proposed taking into account possible variations in user behavior. Experimental results illustrate the applicability of the proposed solution.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Projet ANR :

Interactions tactiles haute performance

Collections :

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

Source :

Harvested from HAL