Search Results - "ST-GCN algorithm"

Intelligent disassembly scenario understanding for human behavior and intention recognition towards self-perception human-robot collaboration system by Xiao, Jinhua, Wang, Bo, Huang, Kaile, Terzi, Sergio, Wang, Wei, Macchi, Marco

“…The recycling of end-of-life (EOL) products poses significant challenges due to inefficient and unsafe disassembly processes. To address this, we propose a…”
Get full text

A study of falling behavior recognition of the elderly based on deep learning by Xu, Pengfei, Sulaiman, Nor Anis Asma, Ding, Yafei, Zhao, Jiangwei, Li, Shengpu

“…The current computer vision-based elderly falling behavior recognition algorithm mainly uses target detection followed by behavior recognition for a single…”
Get full text

Times series forecasting for urban building energy consumption based on graph convolutional network by Hu, Yuqing, Cheng, Xiaoyuan, Wang, Suhang, Chen, Jianli, Zhao, Tianxiang, Dai, Enyan

“…•Develop a Spatiotemporal graph convolutional network for hourly energy predictions.•Inter-building impacts are considered in graph-based method for…”
Get full text

The analysis of regional ice and snow tourist destinations under back propagation neural network by Wang, Fuxue

“… A feature recognition model for ice and snow tourism is constructed based on a BPNN combined with a Spatial-Temporal Graph Convolutional Network (ST-GCN) algorithm…”
Get full text

Multi-factor embedding GNN-based traffic flow prediction considering intersection similarity by Zhong, Ruirui, Hu, Bingtao, Wang, Fei, Feng, Yixiong, Li, Zhiwu, Song, Xiuju, Wang, Yong, Lou, Shanhe, Tan, Jianrong

“…Existing studies on traffic flow prediction primarily rely on on-board devices to collect vehicle trajectory data, which can potentially infringe upon the…”
Get full text

Protection and Inheritance Strategy of She Traditional Sports Skills Based on Pattern Recognition by Lan, Hui

“…With the development of global economy and culture and the transformation of China’s cultural development strategy, the traditional sports culture of…”
Get full text

Demo: A Multi-Perspective Video Streaming System with Privacy Preservation in Trauma Room by Ren, Zhengyong, Yang, Yuxin, Ghazinour, Kambiz, Bayramzadeh, Sara, Guan, Qiang

“… We applied the st-gcn algorithm to recognize human actions, we propose a interactive algorithm for multiple cameras to recognize and trace the same person in different…”
Get full text

Photovoltaic Pseudo-Measurement Generation Based on Power Forecasting in Active Distribution Systems by Zhang, Ping, Li, Zun, Si, RuiHua, Hao, YuanZhao, Wang, BiQing

“… First, an advanced spatio-temporal graph convolutional network (ST-GCN) algorithm is employed to achieve high-precision short-term forecasting of PV power, ensuring accurate predictions across various time periods and weather conditions…”
Get full text

Times Series Forecasting for Urban Building Energy Consumption Based on Graph Convolutional Network by Hu, Yuqing, Cheng, Xiaoyuan, Wang, Suhang, Chen, Jianli, Zhao, Tianxiang, Dai, Enyan

“…The world is increasingly urbanizing and the building industry accounts for more than 40% of energy consumption in the United States. To improve urban…”
Get full text

Analysis of masonry work activity recognition accuracy using a spatiotemporal graph convolutional network across different camera angles by Yun, Sangyoon, Hong, Sungkook, Hwang, Sungjoo, Lee, Dongmin, Kim, Hyunsoo

“… This paper addresses this gap by using AlphaPose and Spatial-Temporal Graph Convolutional Network (ST-GCN…”
Get full text

A novel dataset based on indoor teacher-student interactive mode using AIoT by Zhao, Jian, Xu, Maolin, Wang, Xuezhu

“… Then, Alpha Pose, Open Pose, and ST-GCN algorithms are employed to evaluate the accuracy of the dataset…”
Get full text

Applying Deep Learning and Computer Vision Techniques for an e-Sport and Smart Coaching System Using a Multiview Dataset: Case of Shotokan Karate by Ait-Bennacer, Fatima-Ezzahra, Aaroud, Abdessadek, Akodadi, Khalid, Cherradi, Bouchaib

“… The proposed work aims to apply the latest action detection, action recognition, and action classification methods for different Karate movements using the LSTM and the ST-GCN algorithms and proposes…”
Get full text