Zobrazeno 1 - 10
of 16 153
pro vyhledávání: '"ACTION RECOGNITION"'
Publikováno v:
Robotic Intelligence and Automation, 2024, Vol. 44, Issue 6, pp. 854-870.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/RIA-01-2024-0020
Publikováno v:
Alexandria Engineering Journal, Vol 110, Iss , Pp 567-578 (2025)
Integrating IoT technology into basketball action recognition enhances sports analytics, providing crucial insights into player performance and game strategy. However, existing methods often fall short in terms of accuracy and efficiency, particularl
Externí odkaz:
https://doaj.org/article/0a2e273886c045b4abf5dea4cf77f13e
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 12, Pp 3235-3246 (2024)
Point cloud action recognition methods can provide precise 3D motion monitoring and recognition services, with broad application prospects in fields such as intelligent interaction, intelligent security, and medical health. Existing methods typically
Externí odkaz:
https://doaj.org/article/66b6d8a525e9412eb3a5083d00418a83
Publikováno v:
Alexandria Engineering Journal, Vol 109, Iss , Pp 89-101 (2024)
With the growing popularity of fitness, the demand for real-time action recognition and feedback is increasing. Current research faces challenges in handling complex actions, real-time processing, and system integration. To address these issues, we p
Externí odkaz:
https://doaj.org/article/d8567b628e004fd1ae4a258ba08d433a
Publikováno v:
IET Image Processing, Vol 18, Iss 13, Pp 4250-4262 (2024)
Abstract Although graph convolutional networks have achieved good performances in skeleton‐graph‐based action recognition, there are still some problems which include the incomplete utilization of skeleton graph features and the lacking of logica
Externí odkaz:
https://doaj.org/article/3d76010cd50e43eda02a8cc357049eec
Autor:
Wei Qin, Junying Meng
Publikováno v:
Alexandria Engineering Journal, Vol 114, Iss , Pp 46-54 (2025)
With the rapid development of artificial intelligence and computer vision technology, dance action recognition and quality assessment have become a challenging and important research field. Traditional dance movement recognition methods often rely on
Externí odkaz:
https://doaj.org/article/fb9d90def1fc4666b37cb9405394f45a
Autor:
Tomasello, Michael, author, Call, Josep, author
Publikováno v:
Primate Cognition : Volume 1: Social Cognition, 2024, ill.
Externí odkaz:
https://doi.org/10.1093/oso/9780198910626.003.0004
Publikováno v:
AI, Vol 5, Iss 3, Pp 1695-1708 (2024)
Human action recognition (HAR) based on skeleton data is a challenging yet crucial task due to its wide-ranging applications, including patient monitoring, security surveillance, and human- machine interaction. Although numerous algorithms have been
Externí odkaz:
https://doaj.org/article/6db5e7cb49744e039fc486429393c144
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 6, Pp 8249-8272 (2024)
Abstract Most previous few-shot action recognition works tend to process video temporal and spatial features separately, resulting in insufficient extraction of comprehensive features. In this paper, a novel hybrid attentive prototypical network (HAP
Externí odkaz:
https://doaj.org/article/4e639100028647ec93ebf6ba19e839c1
Publikováno v:
Frontiers in Physiology, Vol 15 (2024)
This study addresses the limitations of traditional sports rehabilitation, emphasizing the need for improved accuracy and response speed in real-time action detection and recognition in complex rehabilitation scenarios. We propose the STA-C3DL model,
Externí odkaz:
https://doaj.org/article/b934222a8a094b5792c55b984212ab96