Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Tang, JianKai"'
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
Video photoplethysmography (vPPG) is an emerging method for non-invasive and convenient measurement of physiological signals, utilizing two primary approaches: remote video PPG (rPPG) and contact video PPG (cPPG). Monitoring vitals in high-altitude e
Externí odkaz:
http://arxiv.org/abs/2409.19223
Autor:
Chen, Xinghong, Gu, Mingxuan, Tang, Jiankai, Sang, Yungang, Xiang, Bingrui, Zhang, Kong, Zhang, Guanjie, Wang, Xingyuan, Guo, Xuhan, Zhou, Linjie, Wu, Wengang, Mao, Yifei
The miniaturization and integration of beam steering devices have consistently been the focus of the field. Conventional methods alter the eigenmode of the optical cavity by regulating the refractive index. Due to the weak nonlinear effect of the opt
Externí odkaz:
http://arxiv.org/abs/2407.14036
Remote photoplethysmography (rPPG) emerges as a promising method for non-invasive, convenient measurement of vital signs, utilizing the widespread presence of cameras. Despite advancements, existing datasets fall short in terms of size and diversity,
Externí odkaz:
http://arxiv.org/abs/2404.05003
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:
Zhao, Linxi, Tang, Jiankai, Chen, Dongyu, Liu, Xiaohong, Zhou, Yong, Shi, Yuanchun, Wang, Guangyu, Wang, Yuntao
Nailfold capillaroscopy is widely used in assessing health conditions, highlighting the pressing need for an automated nailfold capillary analysis system. In this study, we present a pioneering effort in constructing a comprehensive nailfold capillar
Externí odkaz:
http://arxiv.org/abs/2312.05930
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:
Bai, Yushi, Lv, Xin, Zhang, Jiajie, Lyu, Hongchang, Tang, Jiankai, Huang, Zhidian, Du, Zhengxiao, Liu, Xiao, Zeng, Aohan, Hou, Lei, Dong, Yuxiao, Tang, Jie, Li, Juanzi
Although large language models (LLMs) demonstrate impressive performance for many language tasks, most of them can only handle texts a few thousand tokens long, limiting their applications on longer sequence inputs, such as books, reports, and codeba
Externí odkaz:
http://arxiv.org/abs/2308.14508
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
Autor:
Tang, Jiankai, Chen, Kequan, Wang, Yuntao, Shi, Yuanchun, Patel, Shwetak, McDuff, Daniel, Liu, Xin
Remote photoplethysmography (rPPG) is an attractive method for noninvasive, convenient and concomitant measurement of physiological vital signals. Public benchmark datasets have served a valuable role in the development of this technology and improve
Externí odkaz:
http://arxiv.org/abs/2302.03840