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

S Aranovskiy 1 R Ushirobira 2 Denis Efimov 2 G Casiez 3
2 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
3 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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S Aranovskiy, R Ushirobira, Denis Efimov, G Casiez. An adaptive FIR filter for trajectory prediction and latency reduction in direct Human-Computer interactions. Control Engineering Practice, Elsevier, In press. ⟨hal-02189181⟩

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