Margin-Based Deep Learning Networks for Human Activity Recognition.Human activity recognition (HAR) is a popular and challenging research topic, driven by a variety of applications. 
Margin-Based Deep Learning Networks
Margin-Based Deep Learning Networks for Human Activity Recognition.Human activity recognition (HAR) is a popular and challenging research topic, driven by a variety of applications.  More recently, with significant progress in the development of deep learning networks for classification tasks, many researchers have made use of such models to recognise human activities in a sensor-based manner, which have achieved good performance.  To deal with this problem, we introduce a margin mechanism to enhance the discriminative power of deep learning networks. 
deep learning networks
To deal with this problem, we introduce a margin mechanism to enhance the discriminative power of deep learning networks.  We modified four kinds of common neural networks with our margin mechanism to test the effectiveness of our proposed method. 
margin mechanism
We modified four kinds of common neural networks with our margin mechanism to test the effectiveness of our proposed method. 
neural networks