Hand posture recognition technology makes humancomputer interaction more natural and efficient. Existing hand posture recognition algorithms are mainly based on RGB images or depth data, each of which has its limitations: the former is susceptible to the interference of lighting and background color, while the latter is difficult to capture details and affects accuracy. To … [Read more...] about Dynamic Importance-Weighted Fusion Network Based on Dynamic Convolutions for Hand Posture Recognition: A Technique Based on Red, Green, Blue Plus Depth Cameras
Data mining
Contact Shape and Pose Recognition
Soft magnetic tactile sensors have been gradually applied to robotic systems due to their low-cost and simple fabrication. The previous soft magnetic tactile sensor was developed for tactile features of a single point (i.e., force/location) estimation and proved the feasibility by experiments. However, extracting tactile features of a surface (i.e., contact shape) by magnetic … [Read more...] about Contact Shape and Pose Recognition
