Zobrazeno 1 - 10
of 18 759
pro vyhledávání: '"activity classification"'
Autor:
Gopal, Senthilkumar
Human action recognition has been a topic of interest across multiple fields ranging from security to entertainment systems. Tracking the motion and identifying the action being performed on a real time basis is necessary for critical security system
Externí odkaz:
http://arxiv.org/abs/2410.09902
Autor:
Chen, Haodong1 (AUTHOR) h.chen@mst.edu, Zendehdel, Niloofar1 (AUTHOR), Leu, Ming C.1 (AUTHOR), Yin, Zhaozheng2 (AUTHOR)
Publikováno v:
Journal of Intelligent Manufacturing. Jun2024, Vol. 35 Issue 5, p2215-2233. 19p.
Driver activity classification is crucial for ensuring road safety, with applications ranging from driver assistance systems to autonomous vehicle control transitions. In this paper, we present a novel approach leveraging generalizable representation
Externí odkaz:
http://arxiv.org/abs/2404.14906
Publikováno v:
Journal of Electromagnetic Engineering and Science, Vol 24, Iss 4, Pp 358-369 (2024)
Current methods for daily human activity classification primarily rely on optical images from cameras or wearable sensors. Despite their high detection reliability, camera-based approaches suffer from several drawbacks, such as low-light conditions,
Externí odkaz:
https://doaj.org/article/2e7dfc895d9e4748a88e2a43ffa1f24c
Autor:
Nguyen, NgocBinh1 (AUTHOR), Pham, MinhNghia1 (AUTHOR) nghiapmmta@gmail.com, Doan, Van-Sang2 (AUTHOR), Le, VanNhu1 (AUTHOR)
Publikováno v:
PLoS ONE. 8/1/2024, Vol. 19 Issue 8, p1-26. 26p.
Publikováno v:
Telecommunication Engineering. 6/28/2024, Vol. 64 Issue 6, p830-839. 10p.
We propose HAROOD as a short-range FMCW radar-based human activity classifier and out-of-distribution (OOD) detector. It aims to classify human sitting, standing, and walking activities and to detect any other moving or stationary object as OOD. We i
Externí odkaz:
http://arxiv.org/abs/2312.08894
Autor:
Giordano, Marco, Cortesi, Silvano, Crabolu, Michele, Pedrollo, Lavinia, Bellusci, Giovanni, Bendinelli, Tommaso, Türetken, Engin, Dunbar, Andrea, Magno, Michele
This paper introduces an effective solution for retrofitting construction power tools with low-power IoT to enable accurate activity classification. We address the challenge of distinguishing between when a power tool is being moved and when it is ac
Externí odkaz:
http://arxiv.org/abs/2310.14758
Akademický článek
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In farming systems, harvesting operations are tedious, time- and resource-consuming tasks. Based on this, deploying a fleet of autonomous robots to work alongside farmworkers may provide vast productivity and logistics benefits. Then, an intelligent
Externí odkaz:
http://arxiv.org/abs/2311.10885