Abstract: Deep convolutional neural networks (CNNs) have recently achieved outstanding success in human activity recognition (HAR) due to their ability to automatically extract hierarchical features.

Abstract: Human activity recognition is a vital area of robotics with significant real-world applications, from enhancing security and surveillance to improving healthcare and human-robot interaction.