Zobrazeno 1 - 10
of 4 366
pro vyhledávání: '"human action"'
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:
Visual Intelligence, Vol 2, Iss 1, Pp 1-22 (2024)
Abstract The Metaverse’s emergence is redefining digital interaction, enabling seamless engagement in immersive virtual realms. This trend’s integration with AI and virtual reality (VR) is gaining momentum, albeit with challenges in acquiring ext
Externí odkaz:
https://doaj.org/article/d7ef7d0b02ff440e8e9eb66ae465f588
Publikováno v:
Mises, Vol 12 (2024)
This article aims to demonstrate how the narrative analysis method, combined with a value-based perspective of business model structuration, can be applied to identify the logic of human action in entrepreneurship. The business model is a narrative s
Externí odkaz:
https://doaj.org/article/5a554ff6b6034bc19334befa9c93d00a
Autor:
Artur Pilacinski, Lukas Christ, Marius Boshoff, Ioannis Iossifidis, Patrick Adler, Michael Miro, Bernd Kuhlenkötter, Christian Klaes
Publikováno v:
Frontiers in Neurorobotics, Vol 18 (2024)
Human activity recognition (HAR) and brain-machine interface (BMI) are two emerging technologies that can enhance human-robot collaboration (HRC) in domains such as industry or healthcare. HAR uses sensors or cameras to capture and analyze the moveme
Externí odkaz:
https://doaj.org/article/9322ebaca1d844cc8c17a91d8de4113d
Publikováno v:
IEEE Access, Vol 12, Pp 8780-8790 (2024)
The importance of a high-quality dataset availability in 3D human action analysis research cannot be overstated. This paper introduces DGU-HAO (Human Action analysis dataset with daily life Objects). This novel 3D human action multi-modality dataset
Externí odkaz:
https://doaj.org/article/a154e99be1ea42d99841c7b7ffaf3c78
Autor:
Neelam Sanjeev Kumar, G. Deepika, V. Goutham, B. Buvaneswari, R. Vijaya Kumar Reddy, Sanjeevkumar Angadi, C. Dhanamjayulu, Ravikumar Chinthaginjala, Faruq Mohammad, Baseem Khan
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract A comprehensive examination of human action recognition (HAR) methodologies situated at the convergence of deep learning and computer vision is the subject of this article. We examine the progression from handcrafted feature-based approaches
Externí odkaz:
https://doaj.org/article/4d9191798e5a4d84b99f6d02fc0ba79f
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 4, Pp 4659-4673 (2024)
Abstract In the action recognition field based on the characteristics of human skeleton joint points, the selection of keyframes in the skeleton sequence is a significant issue, which directly affects the action recognition accuracy. In order to impr
Externí odkaz:
https://doaj.org/article/8fc78c0a45124a9ab148bcfa02146168
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 3, Pp 4201-4222 (2024)
Abstract The class imbalance problem occurs when there is an unequal distribution of classes in a dataset and is a significant issue in various artificial intelligence applications. This study focuses on the severe multiclass imbalance problem of hum
Externí odkaz:
https://doaj.org/article/c72756fe6c6b4986a006e7d63158d538
Publikováno v:
Virtual Reality & Intelligent Hardware, Vol 6, Iss 1, Pp 43-55 (2024)
Background: Intelligent garments, a burgeoning class of wearable devices, have extensive applications in domains such as sports training and medical rehabilitation. Nonetheless, existing research in the smart wearables domain predominantly emphasizes
Externí odkaz:
https://doaj.org/article/4654e906b8904aaaa0d4acb995b6b94b
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