Abstract: This disclosure provides a hand tracking device. The hand tracking device includes a storage circuit and a processor. The storage circuit stores a program code. The processor is coupled to the storage circuit and accesses the program code. The processor is configured to obtain a hand motion curve of a hand during a period of time. The processor is configured to obtain an object motion curve of an object during the period of time. The processor is configured to determine whether the hand is holding the object based on the hand motion curve and the object motion curve.

Abstract: A device position correction method applicable to a wearable device is provided. The device position correction method includes the following steps. A wearable device image is received. An object detector detects the wearable device position, which is the position in the wearable device image. A limb detection model detects a plurality of skeleton points and a limb position, which is the position of a limb in the wearable device image, in order to determine which body part corresponds to the limb. According to the skeleton points and the limb position, correction information related to the wearable device position is generated.

Abstract: A hand pose construction method is disclosed. The hand pose construction method includes the following operations: capturing an image of a hand of a user from a viewing angle of a camera, wherein a hand image of the hand of the user is occluded within the image; obtaining a wrist position and a wrist direction of a wrist of the user according to a movement data of a tracking device wear on the wrist of the user; obtaining several visible feature points of the hand of the user from the image; and constructing a hand pose of the hand of the user according to the several visible feature points, the wrist position, the wrist direction, and a hand pose model.

Abstract: A device position correction method applicable to a wearable device is provided. The device position correction method includes the following steps. A wearable device image is received. An object detector detects the wearable device position, which is the position in the wearable device image. A limb detection model detects a plurality of skeleton points and a limb position, which is the position of a limb in the wearable device image, in order to determine which body part corresponds to the limb. According to the skeleton points and the limb position, correction information related to the wearable device position is generated.

Abstract: The embodiments of the disclosure provide a method for improving quality of a visual content, a host, and a computer readable storage medium. The method includes: determining a first gesture of a first hand and accordingly providing a first hand object in the visual content; determining a second gesture of a second hand and accordingly providing a second hand object in the visual content; in response to determining that the first gesture and the second gesture respectively correspond to a first predetermined gesture and a second predetermined gesture, determining a specific distance between the first gesture and the second gesture; and in response to determining that the specific distance is smaller than a distance threshold, refining the first hand object and the second hand object.