Human pose estimation is one of the issues that have gained many benefits from using state-
of-the-art deep learning-based models. Human pose, hand and mesh estimation is a …

In sports, the essence of a complete technical action is a complete information structure
pattern and the athlete's judgment of the action is actually the identification of the movement …

In the field of computer vision, action recognition is a very difficult topic to study. This paper
suggests a dance movement recognition method based on DL network in accordance with …

In order to overcome the problems existing in the existing methods, such as high rate of false
recognition, high rate of missing recognition and low rate of recognition, an automatic …

Nowadays, the demand for high-performance wireless sensor networks (WSN) is increasing,
and its power requirement has threatened the survival of WSN. The routing methods cannot …

In recent years, deep learning methods have been widely applied to hyperspectral image
classification. However, these deep learning methods need lots of training samples to tune …

In recent years, with the development and popularization of deep learning, artificial neural
networks have been successfully applied to the creation of dance movements. The important …

There are some problems in traditional dance rotation recognition methods, such as low
accuracy of contour superposition and low recognition rate. A dance rotation recognition …