Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Wang, Kegang"'
Remote photoplethysmography (rPPG) extracts PPG signals from subtle color changes in facial videos, showing strong potential for health applications. However, most rPPG methods rely on intensity differences between consecutive frames, missing long-te
Externí odkaz:
http://arxiv.org/abs/2411.15283
Autor:
Liu, Mingxuan, Tang, Jiankai, Chen, Yongli, Li, Haoxiang, Qi, Jiahao, Li, Siwei, Wang, Kegang, Gan, Jie, Wang, Yuntao, Chen, Hong
Artificial neural networks (ANNs) can help camera-based remote photoplethysmography (rPPG) in measuring cardiac activity and physiological signals from facial videos, such as pulse wave, heart rate and respiration rate with better accuracy. However,
Externí odkaz:
http://arxiv.org/abs/2402.04798
Autor:
Tang, Jiankai, Wang, Kegang, Hu, Hongming, Zhang, Xiyuxing, Wang, Peiyu, Liu, Xin, Wang, Yuntao
This study concentrates on evaluating the efficacy of Large Language Models (LLMs) in healthcare, with a specific focus on their application in personal anomalous health monitoring. Our research primarily investigates the capabilities of LLMs in inte
Externí odkaz:
http://arxiv.org/abs/2311.12524
Autor:
Wang, Kegang, Wei, Yantao, Tang, Jiankai, Wang, Yuntao, Tong, Mingwen, Gao, Jie, Ma, Yujian, Zhao, Zhongjin
In recent years, due to the widespread use of internet videos, remote photoplethysmography (rPPG) has gained more and more attention in the fields of affective computing. Restoring blood volume pulse (BVP) signals from facial videos is a challenging
Externí odkaz:
http://arxiv.org/abs/2305.04161
In recent years, due to the widespread use of internet videos, physiological remote sensing has gained more and more attention in the fields of affective computing and telemedicine. Recovering physiological signals from facial videos is a challenging
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da01588754183c8b7ee88b91ed6d1fa6
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
ICNC-FSKD
The disadvantages of BOW (Bag of words model) for image classification include the large amount of data in generating a codebook by clustering, redundant code words that may affect the classification results and so on. The process of BOW for the clas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c3e2936f43a481a429b4633f849be95
https://doi.org/10.1109/fskd.2016.7603338
https://doi.org/10.1109/fskd.2016.7603338
Publikováno v:
ISKE
The goal of adding content-based 3d model retrieval to semantic web is to develop a rich set of 3d model semantic representation to enable both humans and machines to generate and understand model descriptions and processing which can be used to enab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::493e70998f4e9c98f30038db90ab456d
https://doi.org/10.1109/iske.2008.4730947
https://doi.org/10.1109/iske.2008.4730947