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Fig. 1 | Journal of NeuroEngineering and Rehabilitation

Fig. 1

From: Competing at the Cybathlon championship for people with disabilities: long-term motor imagery brain–computer interface training of a cybathlete who has tetraplegia

Fig. 1

BCI games were used for training our pilot for the Cybathlon BCI event in 2019 and 2020. A The NeuroSensi game and the timing of the trials in the 2-class classification based NeuroSensi experiments (Additional file 1: Video S1). B The BrainDriver race (Additional file 2: Video S2 and Additional file 3: Video S3). C The Triad game for monitoring the multi-class classification results and pilot warm-up, using a linear combination of multiple 2-class classifiers. The 2D position of the ball within the triangle is calculated using the results of the three ‘task vs. task’ 3-class classifiers (LF, LR, FR). The colour of the ball within the triangle is controlled by the ‘task vs. relax’ (TX) classifier (blue: task (T), green: relax(R)) (Additional file 4: Video S4). The venue timelines show time periods along with session intervals when the pilot was trained in different locations for completing the Cybathlon BCI series in 2019 and the Cybathlon Global Edition in 2020

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