Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Xikang Jiang"'
Publikováno v:
Sensors, Vol 23, Iss 24, p 9680 (2023)
Contactless continuous blood pressure (BP) monitoring is of great significance for daily healthcare. Radar-based continuous monitoring methods typically extract time-domain features manually such as pulse transit time (PTT) to calculate the BP. Howev
Externí odkaz:
https://doaj.org/article/7afe903f579d48afafca9fc4a760a44b
Publikováno v:
Sensors, Vol 23, Iss 12, p 5632 (2023)
Radar-based personal identification and fall detection have received considerable attention in smart healthcare scenarios. Deep learning algorithms have been introduced to improve the performance of non-contact radar sensing applications. However, th
Externí odkaz:
https://doaj.org/article/6fe19a8fe8c94a33aa9fdd365839cec1
Publikováno v:
Sensors; Volume 23; Issue 12; Pages: 5632
Radar-based personal identification and fall detection have received considerable attention in smart healthcare scenarios. Deep learning algorithms have been introduced to improve the performance of non-contact radar sensing applications. However, th
Owing to increasing connected medical devices and rapid development of deep learning technologies, the Internet of Medical Things (IoMT) has attracted great attention for healthcare monitoring with intelligent sensors. Radar serves as a non-contact h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7216ed4f3ab661aa3e46434eea2083c2
https://doi.org/10.36227/techrxiv.21441312
https://doi.org/10.36227/techrxiv.21441312
Publikováno v:
Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation. 46(5)
Non-contact continuous blood pressure monitoring is significant in vital sign monitoring. Frequency modulated continuous wave (FMCW) radar is suitable for non-contact wave signal extraction. A heartbeat-guided blood pressure monitoring algorithm usin
Publikováno v:
Pattern Recognition and Computer Vision ISBN: 9783031189098
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da54a6a86b341f2c2a6d203aa4a749eb
https://doi.org/10.1007/978-3-031-18910-4_43
https://doi.org/10.1007/978-3-031-18910-4_43
Publikováno v:
Pattern Recognition and Computer Vision ISBN: 9783030880033
PRCV (1)
PRCV (1)
The level of safety in power grid construction has been improved by Computer Vision (CV) recently with deep Convolutional Neural Networks (CNN). However, due to environmental complexity and risk behaviors diversity, the current detection algorithms s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72e4e91205a317d2b387a2062d23392f
https://doi.org/10.1007/978-3-030-88004-0_26
https://doi.org/10.1007/978-3-030-88004-0_26
Publikováno v:
QoEVMA @ ACM Multimedia
Containing full panoramic content in a single frame and providing immersive experience for users, 360° video has attracted great attention in industry and academia. Viewport-driven tiling schemes have been introduced in 360° video processing to pro
Publikováno v:
INDIN
Omnidirectional applications are immersive and highly interactive, which can improve the efficiency of remote collaborative work among factory workers. The transmission of omnidirectional video (OV) is the most important step in implementing virtual