Výsledky vyhľadávania - ST-GCN algorithm

A Human Motion Detection Algorithm Based on Improved YOLOv5s and ST-GCN

Autori: Yuanhao Ma Xiang Wu Hao Lian a ďalší

Zdroj: 2024 36th Chinese Control and Decision Conference (CCDC). :2638-2643

Human behavior recognition algorithm based on improved ST-GCN

Autori: Xiao Lin Lin Ma Shijie Chen a ďalší

Zdroj: Proceedings of the 2023 International Conference on Electronics, Computers and Communication Technology. :16-21

Intelligent disassembly scenario understanding for human behavior and intention recognition towards self-perception human-robot collaboration system

Autori: Xiao, Jinhua Wang, Bo Huang, Kaile a ďalší

Zdroj: European Lighthouse to Manifest Trustworthy and Green AI (ENFIELD) Journal of manufacturing systems. 83:937-962

Predmety: Disassembly system, End-of-life product, Human robot collaboration, Intent recognition, ST-GCN algorithm, Behavioral research, Collaborative robots, Intelligent robots, Man machine systems, Pattern recognition, Convolutional networks, Disassembly systems, End-of-life products, Human-robot collaboration, Intention recognition, Network algorithms, Spatial temporals, Spatial-temporal graph convolutional network algorithm, Temporal graphs, Inference engines, Virtual Production Development (VPD)

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-26015
https://doi.org/10.1016/j.jmsy.2025.11.012

Lightweight Fall Detection Algorithm Based on AlphaPose Optimization Model and ST-GCN

Autori: Hongtao Zheng Yan Liu

Zdroj: Mathematical Problems in Engineering. 2022:1-15

Predmety: 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Popis súboru: text/xhtml

融合时空注意力的改进 ST-GCN人体动作识别 方法研究. (Chinese)

Alternate Title: Research on the improved ST-GCN method for human action recognition by integrating spatiotemporal attention. (English)

Autori: 雷建云 梁钧 夏梦 a ďalší

Zdroj: Journal of South-Central Minzu University (Natural Science Edition); 2025, Vol. 44 Issue 4, p526-535, 10p

Predmety: HUMAN activity recognition, ALGORITHMS

Sports behavior analysis technology based on GCN and domain knowledge graph

Autori: Jiaojiao Hu Shengnan Ran

Zdroj: Discover Computing, Vol 28, Iss 1, Pp 1-22 (2025)

Predmety: ST-GCN, Domain knowledge graph, Sports behavior, P-GCN, Improved openpose algorithm, Electronic computers. Computer science, QA75.5-76.95

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2948-2992

Prístupová URL adresa: https://doaj.org/article/aba3fb7698c2426999c44ee9be5a6997

Human Pose Recognition Algorithm Based on ST-GCN

Autori: Wang, Xiaojie Zhang, Chi

Zdroj: 2025 IEEE 3rd International Conference on Sensors, Electronics and Computer Engineering (ICSECE) ; page 301-307

Dostupnosť: https://doi.org/10.1109/icsece65727.2025.11257042
http://xplorestaging.ieee.org/ielx8/11251516/11256777/11257042.pdf?arnumber=11257042

Sports training injury risk assessment combined with dynamic analysis algorithm.

Autori: Hou, Zhihong Xue, Yuan

Zdroj: Molecular & Cellular Biomechanics; 2024, Vol. 21 Issue 3, p1-20, 20p

Predmety: PHYSICAL training & conditioning, INJURY risk factors, BOOSTING algorithms, POSTURE, MOTION analysis

The application of suitable sports games for junior high school students based on deep learning and artificial intelligence.

Autori: Ji, Xueyan Samsudin, Shamsulariffin Bin Hassan, Muhammad Zarif Bin a ďalší

Zdroj: Scientific Reports; 5/16/2025, Vol. 15 Issue 1, p1-13, 13p

Predmety: JUNIOR high school students, DETECTION algorithms, ARTIFICIAL intelligence, SCHOOL sports, HUMAN skeleton

THE RECOGNITION OF AEROBICS MOVEMENTS USING BONE DATA COMBINED WITH ST-GCN.

Autori: HUAHUA YANG YANSHENG ZHAO LI XIA

Zdroj: Scalable Computing: Practice & Experience; Jul2024, Vol. 25 Issue 4, p2838-2850, 13p

Predmety: GRAPH algorithms

Construction and optimization method of modern dance movement style feature classification model based on deep learning.

Autori: Wang, Duoduo Shi, Dongsheng Li, Molin

Zdroj: Journal of Combinatorial Mathematics & Combinatorial Computing; Dec2025, Vol. 127b, p4371-4387, 17p

Predmety: DANCE, DEEP learning, SPATIOTEMPORAL processes, HUMAN activity recognition, COMPUTER vision, POSE estimation (Computer vision), MOTION estimation (Signal processing), CLASSIFICATION algorithms

Efficient Graph-Based Algorithm for Real-Time Traffic Flow Optimization in Smart Cities

Autori: Purnamasari, Epih Nurwildani, Mohammad Fajar

Zdroj: ALCOM: Journal of Algorithm and Computing; Vol. 1 No. 1 (2025): ALCOM: Journal of Algorithm and Computing; 45-53; 3089-5634; 3089-6169

Témy: Graph-Based Algorithm, Traffic Flow Optimization, Smart Cities, Reinforcement Learning, Spatiotemporal Networks, info:eu-repo/semantics/article, info:eu-repo/semantics/publishedVersion, Peer-reviewed Article

URL: https://alcom.id/alcom/article/view/5
https://alcom.id/alcom/article/view/5/5
https://alcom.id/alcom/article/view/5/5

Assessment of Movement Disorders in the Elderly Based on Skeletal Action Recognition.

Autori: Ying, Yangwei Wang, Haotian Liao, Jun a ďalší

Zdroj: Electronics (2079-9292); Apr2025, Vol. 14 Issue 7, p1437, 22p

Predmety: DETECTION algorithms, OBJECT recognition (Computer vision), PARKINSON'S disease, MOVEMENT disorders, FEATURE extraction

Deep Learning-Based Action Recognition Algorithm for Jiangsu Dan Opera Characters

Autori: Jiabei Li Xin Yu

Zdroj: WSEAS TRANSACTIONS ON COMPUTER RESEARCH. 13:487-494

Research on Human Action Detection and Recognition Methods Based on Interpretable Artificial Intelligence.

Autori: Zhang, Heng Wang, Fa

Zdroj: Journal of Combinatorial Mathematics & Combinatorial Computing; Dec2025, Vol. 127a, p1143-1158, 16p

Predmety: DEEP learning, ARTIFICIAL neural networks, ARTIFICIAL intelligence, HUMAN behavior, SPATIO-temporal variation

Design of tennis auxiliary teaching system based on reinforcement learning and multi-feature fusion.

Autori: Zhang, Shiquan Gan, Chaohong

Zdroj: PeerJ Computer Science; Sep2025, p1-19, 19p

Predmety: TENNIS, REINFORCEMENT learning, HUMAN activity recognition, MULTISENSOR data fusion, GENETIC algorithms, DEEP learning

A real-time fall detection model based on BlazePose and improved ST-GCN.

Autori: Zhang, Yu Gan, Junsi Zhao, Zewei a ďalší

Zdroj: Journal of Real-Time Image Processing; Dec2023, Vol. 20 Issue 6, p1-12, 12p

A Lightweight Graph Neural Network Algorithm for Action Recognition Based on Self-Distillation.

Autori: Feng, Miao Meunier, Jean

Zdroj: Algorithms; Dec2023, Vol. 16 Issue 12, p552, 15p

Predmety: HUMAN activity recognition, ALGORITHMS, HUMAN-computer interaction, VIRTUAL reality

Construction of tennis pose estimation and action recognition model based on improved ST-GCN.

Autori: Yang Yu

Zdroj: Molecular & Cellular Biomechanics; 2024, Vol. 21 Issue 4, p1-24, 24p

Predmety: CONVOLUTIONAL neural networks, COMPUTER vision, DEEP learning, PHYSICAL training & conditioning, TENNIS

Design of Unmarked AI Recognition Algorithm for Athletes’ Traditional Sports Actions Based on Attention Mechanism

Autori: Guo Wei Liu Yi

Zdroj: International Journal of High Speed Electronics and Systems.