Review the state-of-the-art technologies of semantic segmentation based on deep learning
The goal of semantic segmentation is to segment the input image according to semantic
information and predict the semantic category of each pixel from a given label set. With the …
information and predict the semantic category of each pixel from a given label set. With the …
CZU-MHAD: a multimodal dataset for human action recognition utilizing a depth camera and 10 wearable inertial sensors
X Chao, Z Hou, Y Mo - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
Human action recognition has been widely used in many fields of life, and many human
action datasets have been published at the same time. However, most of the multi-modal …
action datasets have been published at the same time. However, most of the multi-modal …
Fusion of skeleton and inertial data for human action recognition based on skeleton motion maps and dilated convolution
Human activity recognition (HAR) has become a hot research topic, due to its wide
application prospect. Fusion-based methods can be used to complement single sensing …
application prospect. Fusion-based methods can be used to complement single sensing …
[Retracted] Feature Recognition of Human Motion Behavior Based on Depth Sequence Analysis
G Zhao - Complexity, 2021 - Wiley Online Library
The current research on still image recognition has been very successful, but the study of
action recognition for video classes is still a challenging topic. In this work, we propose a …
action recognition for video classes is still a challenging topic. In this work, we propose a …
Application Analysis of Badminton Intelligence based on Knowledge Graphs
J Zhang - Tobacco Regulatory Science (TRS), 2022 - tobreg.org
With 346 web of science core databases of" badminton"," data mining"," artificial
intelligence"," motion Based on Citespace software, this paper visualizes and analyzes the …
intelligence"," motion Based on Citespace software, this paper visualizes and analyzes the …