Figure 1 | Scientific Reports

Figure 1

From: Robust anticipation of continuous steering actions from electroencephalographic data during simulated driving

Figure 1

Experimental setup and analysis framework. (A) Experimental Setup. Subject performing the experiment inside the racing simulator (Assetto Corsa). Top-left a 3D plot of the track is shown. (B) Encoding Model. Lagged linear regression (LLR) encoding models were fit to estimate EEG dynamics preceding and following steering actions with a steering-EEG latency window from –1.5 s (t2) to 0.5 s (t1). (C) Decoding model. LLR decoding models were fit to predict the steering position from preceding EEG data at latencies between t2 and t1, with progressive longer anticipations and a fixed window-size of 1.5 s. The quality of the predicted steering signal was assessed with Pearson’s correlation. (D) EEG-layout. EEG 128-channels location divided by colours (black thin dots are the inner electrodes used for LLR).

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