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Fig. 2 | Journal of NeuroEngineering and Rehabilitation

Fig. 2

From: Egocentric video: a new tool for capturing hand use of individuals with spinal cord injury at home

Fig. 2

Example frames describing the methodology in each of the processing steps. (a) Hand detection step, where the left image is the output bounding box of the hand from the R-CNN, the centre image is the Haar-like feature rotating around the bounding box centroid, and the right image is the final detection output. (b) Hand segmentation step, where the left image is the hand contour identification generated by combining skin colour information (in black and white) with edge detection of hand contours (in purple), and the right image shows the re-centering and selection of the final hand contour. (c) Regions involved in the interaction detection step, where the left image is the hand region, the centre image is the boxed neighbourhood of the hand, and the right image is the background region

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