Search Results - Spatial-temporal graph convolutional network 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

“…: action recognition using a Spatial-Temporal Graph Convolutional Network (ST-GCN), disassembly tool detection based on an enhanced YOLO algorithm, and facial angle recognition for operator awareness inference…”
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Sports behavior analysis technology based on GCN and domain knowledge graph by Jiaojiao Hu, Shengnan Ran

“…Abstract To improve the performance of sports behavior recognition, the spatial temporal graph convolutional network is introduced to analyze the spatial temporal features of sports behavior…”
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An Attention Enhanced Spatial–Temporal Graph Convolutional LSTM Network for Action Recognition in Karate by Guo, Jianping, Liu, Hong, Li, Xi, Xu, Dahong, Zhang, Yihan

“… In this paper, a new graph convolution model is proposed. Delaunay’s partitioning algorithm was used to construct a new spatiotemporal topology which can effectively obtain…”
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On hourly prediction of PM2.5 using spatial–temporal graph convolutional network by Ren, Zhenxing, Ji, Xinxin

“…Globally, air pollution has garnered significant attention in the past few years. Accurate air pollution like PM 2.5 hourly prediction is an essential…”
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A coarse-to-fine adaptive spatial–temporal graph convolution network with residuals for motor imagery decoding from the same limb by Zhu, Lei, Yuan, Jie, Huang, Aiai, Zhang, Jianhai

“…–temporal graph convolutional network with residuals approach is proposed to extract spatial…”
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ESTS‐GCN: An Ensemble Spatial–Temporal Skeleton‐Based Graph Convolutional Networks for Violence Detection by Janbi, Nourah Fahad, Ghaseb, Musrea Abdo, Almazroi, Abdulwahab Ali

“… In this study, we propose a unique Ensemble Spatial–Temporal Skeleton‐Based Graph Convolutional Networks (ESTS‐GCNs…”
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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…”
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Deformation prediction for the Yuka mining area based on LICSBAS using a velocity-neighborhood spatial algorithm combined with a temporal graph convolutional network (T-GCN) by Jia, Hongguo, Yang, Yang, Wang, Zhiwei, Zeng, Xin, He, Yujun, Bai, Zhenghang, Liu, Yuchen

“… To address these disadvantages, we introduce a novel velocity-neighborhood spatial algorithm to accurately predict mining deformation trends and build upon the precise extraction of surface…”
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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

“… of the moving human body is needed. In this paper, the fusion applications of histogram of oriented gradients human body detection algorithm, Camshift human body tracking algorithm, and spatial temporal graph convolutional networks…”
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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…”
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Predicting Traffic Flow Using Dynamic Spatial-Temporal Graph Convolution Networks by Liu, Yunchang, Wan, Fei, Liang, Chengwu

“… This paper proposes a novel temporal-spatial dynamic graph convolutional network (TSADGCN). The dynamic time warping algorithm (DTW…”
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Spatial-temporal clustering enhanced multi-graph convolutional network for traffic flow prediction by Bao, Yinxin, Shen, Qinqin, Cao, Yang, Shi, Quan

“… To overcome these shortcomings, we propose a novel Spatial-temporal Clustering enhanced Multi-Graph Convolutional Network (SCM-GCN…”
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DRGCN-BiLSTM: An Electrocardiogram Heartbeat Classification Using Dynamic Spatial-Temporal Graph Convolutional and Bidirectional Long-Short Term Memory Technique by Sharma, Neenu, Joshi, Deepak

“…)-Tomek, dynamic perceptive region spatial-temporal graph convolutional network with bidirectional…”
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FastDTW-Encoded Spatial-temporal Attention Dual Graph Convolutional Network for Traffic Flow Prediction by Shen, Bingqi, Chen, Linlong, Yang, Nan

“… Subsequently, dual graph convolutional and temporal convolutional networks are constructed to algorithm spatial-temporal dependencies…”
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A novel adaptive spatial–temporal cross-graph convolutional fusion learning network for skeleton-based abnormal gait recognition by Wang, Liang, Wu, Xiaoyan, Wu, Bin, Wu, Jianning

“… In this study, a novel adaptive spatial–temporal cross-graph convolutional fusion learning network is proposed to accurately recognize skeleton-based abnormal gait patterns…”
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The application of suitable sports games for junior high school students based on deep learning and artificial intelligence by Ji, Xueyan, Samsudin, Shamsulariffin Bin, Hassan, Muhammad Zarif Bin, Farizan, Noor Hamzani, Yuan, Yubin, Chen, Wang

“… This study intends to develop a Spatial Temporal-Graph Convolutional Network (ST-GCN) action detection algorithm based on the MediaPipe framework…”
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FLSTAGCN: Traffic Flow Prediction Based on Federated Learning and Attention Graph Convolutional Network by Shi, Lei, Yuan, Shaohua, Lian, Huijuan, Gao, Yufei, Wei, Lin, Wang, Qilong

“…) algorithm for traffic flow prediction. Firstly, we develop a Spatial-Temporal Attention Graph Convolutional Network (STAGCN…”
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Assessment of Movement Disorders in the Elderly Based on Skeletal Action Recognition by Ying, Yangwei, Wang, Haotian, Liao, Jun, Xing, Yiwen, Ma, Lina, Zhou, Hong

“… To address these challenges, this study proposes a novel movement disorder assessment algorithm that leverages object detection, pose estimation, and action recognition techniques…”
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A Fast Skeleton-Based Recognition of Traffic Police Gestures with Spatial-Temporal Graph Convolutional Network by Nguyen, Thanh-Hung, Do, Hong-Quan, Pham, Danh-Tuyen, Doan, Trung-Tung, Vu, Viet-Vu

“… Our proposed model will first detect the joints of the human body using the MediaPipe algorithm, then feed them to a Spatial-Temporal Graph Convolutional Network (ST-GCN…”
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A Novel Approach for Accurate Signal Classification and Robust Performance Using an Enhanced Modulation Identification in MIMO Systems via Diffusion Kernel Attention Network With Green Anaconda Optimization by Balaram, Allam, Victoria Jancee, B., Roy, Manidipa, Kapila, Dhiraj

“…) and sparse graph convolutional neural networks (SGCNNs), optimized through the green anaconda optimization (GAO) algorithm…”
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