Deep learning models for human activity recognition (HAR) based on sensor data have been heavily studied recently. However, the generalization ability of deep complex real-world HAR is limited by availability high-quality labeled data, which are hard to obtain. In this article, we design a similarity embedding neural network that maps input signals onto real vectors through carefully designed c...

With the use of deep learning algorithms from artificial intelligence (AI), several types research have been conducted on video data. Object localization, behaviour analysis, scene understanding, labelling, human activity recognition (HAR), and event make up majority them. Among all them, HAR is one most difficult jobs key areas in data processing. can be used a variety fields, including roboti...