An adaptive FIR filter for trajectory prediction and latency reduction in direct Human–Computer interactions. (October 2019)

• Record Type: Journal Article
• Authors: Aranovskiy, S.; Ushirobira, R.; Efimov, D.; Casiez, G.
• Is Part Of: Control engineering practice. Volume 91(2019)
• Publication Date: 2019-10
• Subjects: Human–computer interaction -- Latency reduction -- Adaptive FIR filter -- Human motion prediction -- Touchscreen; Automatic control -- Periodicals; 629.89
• DOI: 10.1016/j.conengprac.2019.07.011
• Languages: English
• ISSNs: 0967-0661

Abstract

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. Highlights: Latency reduction is presented as the trajectory prediction problem. Finite Impulse Response (FIR) filters are used for trajectory prediction. Experimental studies show that adaptive FIR outperforms standard approaches.