更新時間： 2021-02-01 18:28:45
A Hand Gesture Detection Algorithm Based on Deep Learning 基於深度學習之手勢偵測
Hand gesture detection has a wide area of application but is quite a challenging task. There are two main problems that make hand gesture detection especially difficult. One is the great number of degrees of freedom of the hand and the other one is the rapid movements that we make in natural gestures. Algorithms based on minimizing an objective function, with a good initialization, typically obtain good accuracy at low frame rates. However, these methods are very dependent on the initialization point, and fast movements on the hand position or gesture, provokes a loss of track which are unable to recover. In this work, we develop a method that uses deep learning to train a set of gestures, which will be used as a rough estimate of the hand pose and orientation.