Title :

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

Author(s) :

Aranovskiy, Stanislav [Auteur]
CentraleSupélec
Institut d'Électronique et des Technologies du numéRique [IETR]
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]
Université de Lille
Computing tools to empower users [MJOLNIR]

Conference title :

CDC 2017 - 56th IEEE Conference on Decision and Control

City :

Melbourne

Country :

Australie

Start date of the conference :

2017-12-12

Book title :

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

Publisher :

IEEE

Publication date :

2018-01-23

English keyword(s) :

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

HAL domain(s) :

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

English abstract : [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 ...
Show more >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.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

ANR Project :

Interactions tactiles haute performance

Collections :

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

Source :

Harvested from HAL