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Fig. 1 | Journal of NeuroEngineering and Rehabilitation

Fig. 1

From: Automated freezing of gait assessment with marker-based motion capture and multi-stage spatial-temporal graph convolutional neural networks

Fig. 1

Overview of the acquisition protocol. Two reflective markers were placed in the middle of the walkway at a 0.5m distance from each other to demarcate the turning radius. The data collection included straight-line walking (a), 180 degree turning (b), and 360 degree turning (c). The protocol was standardized by demarcating a zone of 1 m before and 1m after the turn in which data was collected. The gray shaded area visualizes the data collection zone, while the dashed lines indicate the trajectory walked by the subjects. For dataset 2, the data collection only included straight-line walking and 360 degree turning. Furthermore, the data collection ended as soon as the subject completed the turn, as visualized by the red dashed line

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