The application provides an image recognition-based personalized
gait intention recognition method and
system, and relates to the technical field of
gait intention recognition.The application collects an
infrared image pair and a distorted
infrared image through a binocular
infrared camera integrated with an equipment, respectively calculates and generates two depth maps, and performs weighted fusion to obtain a three-dimensional
depth map of an environment under the feet of a user; multi-scale
geometric analysis is carried out on the three-dimensional
depth map, geometric features are extracted, and a multi-scale environment geometric feature
tensor is generated; the
tensor is input into a multi-task
processing link, and user landing area semantic segmentation is executed in parallel, foot trajectory prediction is combined with real-time posture and historical
gait of the user; according to the matching relationship between the semantic segmentation graph and the trajectory prediction sequence, the exploratory or confirmatory landing intention of the user is judged, corresponding intention instructions are generated, the personalized gait landing intention of an
exoskeleton wearer can be accurately and robustly recognized, and reliable instruction basis is provided for
intelligent control of the
exoskeleton.