Along with the massive growth of the Internet from the 1990s until now, various innovative
technologies have been created to bring users breathtaking experiences with more virtual …

This work is motivated by the tremendous achievement of deep learning models for
computer vision tasks, particularly for human activity recognition. It is gaining more attention …

Existing 3D skeleton-based action recognition approaches reach impressive performance
by encoding handcrafted action features to image format and decoding by CNNs. However …

Recently, skeleton-based human action recognition has received more interest from
industrial and research communities for many practical applications thanks to the popularity …

Nowadays, deep learning is one of the popular research areas of the computer sciences,
and many deep networks have been proposed to solve artificial intelligence and machine …

With the rapid development of the computer and sensor field, inertial sensor data have been
widely used in human activity recognition. At present, most relevant studies divide human …

Wearable sensor-based human activity recognition has been widely used in many fields.
Considering that a multi-sensor based recognition system is not suitable for practical …

Abstract Human Activity Recognition (HAR) in videos using convolution neural network
become the preferred choice for researcher due to the tremendous success of deep learning …

In recent years, sensor-based human activity recognition (HAR) has gained tremendous
attention around the world with a range of applications. Instead of using body sensor …

After entering the twenty-first century, with the development of science and technology
represented by artificial intelligence, the content of art design and creation is increasingly …