Zobrazeno 1 - 10
of 98
pro vyhledávání: '"Shili, Liang"'
Publikováno v:
IEEE Access, Vol 8, Pp 169835-169850 (2020)
The abundant movement information carried by the surface electromyography (sEMG) signal can comprehensively reflect the muscle movement patterns on the surface of the human body, and the characteristics of physiological signals involving movement inf
Externí odkaz:
https://doaj.org/article/048c859475e940f397982de5abcd3991
Publikováno v:
IEEE Access, Vol 7, Pp 3235-3246 (2019)
Accurate recognition of gestures based on surface EMG signals is of very importance in the study of human prosthetic interaction. In this paper, multi-feature combination and adaptive AdaBoost algorithm are used to identify nine kinds of fine gesture
Externí odkaz:
https://doaj.org/article/b93c1fcf469f4c74ab78182c00e8b595
Autor:
Jong Song, Ryu, Sun Chol, Hong, Shili, Liang, Sin Il, Pak, Lei, Zhang, Suqiu, Wang, Yueqi, Lian
Publikováno v:
Technology and Health Care. 31:887-900
BACKGROUND: The imaging photoplethysmography (iPPG) method is a non-invasive, non-contact measurement method that uses a camera to detect physiological indicators. On the other hand, wearing a mask has become essential today when COVID-19 is rampant,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a9ce09259d29fb0e14db3d16f16a854e
https://doi.org/10.3233/thc-220322
https://doi.org/10.3233/thc-220322
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2018, Iss 1, Pp 1-11 (2018)
Abstract This paper proposes a new image scrambling algorithm based on the periodic characteristics of the Josephus ring. The algorithm composes the pretreatment part of the entire image encryption system and scrambles the rows and columns of the pla
Externí odkaz:
https://doaj.org/article/f28831913a794ccdbe2ee5b14f35252b
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2018, Iss 1, Pp 1-8 (2018)
Abstract In the past, investigators tend to use multi-channel surface electromyography (sEMG) signal acquisition devices to improve the recognition accuracy for the study of gesture recognition systems based on sEMG. The disadvantages of the method a
Externí odkaz:
https://doaj.org/article/893927950f934a4a800968bf2f3732d0
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 25:3428-3437
It is of great significance in managing human health, preventing and curing diseases such as heart disease to measure and monitor the physiological parameters accurately and robustly. However, imaging photoplethysmography (iPPG) can be easily affecte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9818d78f79f8b00c5780542ccacf6399
https://doi.org/10.1109/jbhi.2021.3083917
https://doi.org/10.1109/jbhi.2021.3083917
Publikováno v:
2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41f4507340518a40211fc475be1001fa
https://doi.org/10.1109/ispds56360.2022.9874225
https://doi.org/10.1109/ispds56360.2022.9874225
Publikováno v:
Multimedia Tools and Applications. 80:10285-10300
There is a trade-off relationship between the imperceptibility of a watermark and the robustness of a digital watermarking algorithm; to overcome this, we propose a robust digital watermarking encryption algorithm for quick response (QR) code images
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4f6e852026a9213594e65972bcecfe3
https://doi.org/10.1007/s11042-020-10075-5
https://doi.org/10.1007/s11042-020-10075-5
Publikováno v:
IEEE Access, Vol 8, Pp 169835-169850 (2020)
The abundant movement information carried by the surface electromyography (sEMG) signal can comprehensively reflect the muscle movement patterns on the surface of the human body, and the characteristics of physiological signals involving movement inf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb7b94ebad830b20d848c8d7582e4e5d
https://ieeexplore.ieee.org/document/9184930/
https://ieeexplore.ieee.org/document/9184930/
Publikováno v:
Advanced Data Mining and Applications ISBN: 9783030954079
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be18a752bb7213cf63564e845c0f4ac5
https://doi.org/10.1007/978-3-030-95408-6_21
https://doi.org/10.1007/978-3-030-95408-6_21
