Human action recognition based on mocap information using convolution neural networks

Conference/Journal
IEEE
Authors
Earnest Paul Ijjina C. Krishna Mohan
BibTex
Abstract
Abstract: Human action recognition is an important component in semantic analysis of human behavior. In this paper, we propose an approach for human action recognition based on motion capture (MOCAP) information using convolutional neural networks (CNN). Distance based metrics computed from MOCAP information of only three human joints are used in the computation of features. The range and temporal variation of these distance metrics are considered in the design of features which are discriminative for action ...