An adaptive FIR filter for trajectory prediction and latency reduction in direct Human-Computer interactions

Stanislav Aranovskiy 1, 2 Rosane Ushirobira 3 Denis Efimov 3 Géry Casiez 4
3 VALSE - Finite-time control and estimation for distrubed systems
Inria Lille - Nord Europe, CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
4 LOKI - Technology and knowledge for interaction
Inria Lille - Nord Europe, CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
Abstract : The problem of latency reduction in direct Human-Computer interactions is considered. The proposed method is based on a frequency-domain approximation of a non-causal ideal predictor with a finite impulse response filter. Given a sufficiently rich dataset, the parameters of the filter can be either optimized off-line or tuned on-line with the proposed adaptive algorithm. The performance of the proposed solution is evaluated in an experimental study consisting of drawings on a touchscreen.
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Submitted on : Friday, July 19, 2019 - 10:47:54 AM
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Stanislav Aranovskiy, Rosane Ushirobira, Denis Efimov, Géry Casiez. An adaptive FIR filter for trajectory prediction and latency reduction in direct Human-Computer interactions. Control Engineering Practice, Elsevier, In press, ⟨10.1016/j.conengprac.2019.07.011⟩. ⟨hal-02189181⟩

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