Abstract: In accordance with an embodiment, a method includes: obtaining motion reference information; continuously obtaining image data and performing, based on the image data, target user detection until a target user is determined in a first image frame; determining a first human pose of the target user based on the first image frame; and predicting a second human pose of the target user based on the first human pose and the motion reference information.

Abstract: An adaptive action evaluation method includes obtaining a basic information parameter of a user; obtaining a first evaluation threshold based on the basic information parameter, where the first evaluation threshold provides an evaluation standard; obtaining a key evaluation parameter of a current action of the user; determining an action completion evaluation of the user based on the key evaluation parameter and the first evaluation threshold; and adjusting the first evaluation threshold based on the action completion evaluation.

Abstract: This application provides a prompt method for fitness training and an electronic device, and relates to the field of artificial intelligence. The method includes: obtaining required training space, where the required training space is used to complete one or more training actions; determining, based on a training scenario in which a user is located and the required training space, a training location recommended to the user; and recording collecting a training action of the user based on the training location recommended to the user. A suitable training location is recommended to the user based on the training scenario in which the user is located and the required training space. Therefore, the user can also normally perform training in a scenario in which exercise space is limited, for example, when there is an obstruction or a site is insufficient.