Asymmetric Residual Neural Network for Accurate Human Activity Recognition
Work
Year: 2019
Type: article
Abstract: Human activity recognition (HAR) using deep neural networks has become a hot topic in human–computer interaction. Machines can effectively identify human naturalistic activities by learning from a lar... more
Source: Information
Institution Central South University
Cites: 48
Cited by: 15
Related to: 10
FWCI: 2.585
Citation percentile (by year/subfield): 87.76
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
APC paid (est): $1,515