Toward Visual Interaction: Hand Segmentation by Combining 3-D Graph Deep Learning and Laser Point Cloud for Intelligent Rehabilitation

Against the backdrop of the increasing trend of aging population in China and even globally, the demand for hand function rehabilitation is growing day by day, and human-machine interaction virtual rehabilitation systems have become a research hotspot. Currently, 3-D vision has shown great potential in morphological analysis, but the complexity and irregularity of hand surfaces pose challenges for accurate segmentation. This study has proposed a hand surface segmentation network (HSSN) for intelligent hand function rehabilitation in the virtual reality, which combines 3-D graph deep learning and laser point cloud. HSSN integrates a series of methods, with edge convolution layers effectively addressing the…

• OF
  Open Fund of Key Laboratory of Sediment Research

  Award: BDC202304