Human activity recognition (HAR) is crucial for human-centric smart manufacturing,
especially the management of human involved production activities. Recently, 3D HAR …

This paper presents an unsupervised feature learning approach based on 3D-skeleton data
for human action and human discrete emotion recognition. Relying on the time series of …

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 …

This study delves into Human–Computer Intelligent Interaction (HCII), a burgeoning
interdisciplinary field that builds upon traditional Human–Computer Interaction (HCI) by …

This paper introduces AutoGCN, a generic Neural Architecture Search (NAS) algorithm for
Human Activity Recognition (HAR) using Graph Convolution Networks (GCNs). HAR has …

Daily action recognition has gained much interest in computer vision. However, viewpoint
changes will lead to sizable intra-class differences in the same action. To deal with this …

Abstract Research in Activity Recognition is one of the thriving areas in the field of computer
vision. This development comes into existence by introducing the skeleton-based …

Safety accidents in the operation field of the distribution network often occur, which seriously
endanger the safety and lives of operators. Existing identification methods for safety risk can …

Abnormal behavior detection and recognition of pedestrian in escalator has always been a
challenging task in intelligent video surveillance system. To cope this problem, a method …

In a world with an overgrowing elderly population, there exists a critical need for a greater
number of skilled individuals in the nursing industry. AI-based systems can be useful …