Zobrazeno 1 - 10
of 1 214
pro vyhledávání: '"HUANG Gan"'
Non-suicidal self-injury (NSSI) is a serious threat to the physical and mental health of adolescents, significantly increasing the risk of suicide and attracting widespread public concern. Electroencephalography (EEG), as an objective tool for identi
Externí odkaz:
http://arxiv.org/abs/2410.12159
In recent years, the paradigm of neural implicit representations has gained substantial attention in the field of Simultaneous Localization and Mapping (SLAM). However, a notable gap exists in the existing approaches when it comes to scene understand
Externí odkaz:
http://arxiv.org/abs/2407.20853
Autor:
Pan, Yue, Liu, Qile, Liu, Qing, Zhang, Li, Huang, Gan, Chen, Xin, Li, Fali, Xu, Peng, Liang, Zhen
Affective brain-computer interfaces (aBCIs) are increasingly recognized for their potential in monitoring and interpreting emotional states through electroencephalography (EEG) signals. Current EEG-based emotion recognition methods perform well with
Externí odkaz:
http://arxiv.org/abs/2407.20519
In this paper, we introduce Vox-Fusion++, a multi-maps-based robust dense tracking and mapping system that seamlessly fuses neural implicit representations with traditional volumetric fusion techniques. Building upon the concept of implicit mapping a
Externí odkaz:
http://arxiv.org/abs/2403.12536
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics, 2024
It is typically challenging for visual or visual-inertial odometry systems to handle the problems of dynamic scenes and pure rotation. In this work, we design a novel visual-inertial odometry (VIO) system called RD-VIO to handle both of these two pro
Externí odkaz:
http://arxiv.org/abs/2310.15072
Autor:
Zhou, Rushuang, Ye, Weishan, Zhang, Zhiguo, Luo, Yanyang, Zhang, Li, Li, Linling, Huang, Gan, Dong, Yining, Zhang, Yuan-Ting, Liang, Zhen
Electroencephalography (EEG) is an objective tool for emotion recognition and shows promising performance. However, the label scarcity problem is a main challenge in this field, which limits the wide application of EEG-based emotion recognition. In t
Externí odkaz:
http://arxiv.org/abs/2304.06496
Autor:
Zhang, Yongtao, Pan, Yue, Zhang, Yulin, Li, Linling, Zhang, Li, Huang, Gan, Liang, Zhen, Zhang, Zhiguo
Recognizing human emotions from complex, multivariate, and non-stationary electroencephalography (EEG) time series is essential in affective brain-computer interface. However, because continuous labeling of ever-changing emotional states is not feasi
Externí odkaz:
http://arxiv.org/abs/2212.07088
Autor:
Hu, Jie, Huang, Gan, Li, Longhui, Zhan, Xiaoyu, Zhang, Jieyuan, Shao, Jiahui, Hong, Susu, Pan, Shu-Ting
Publikováno v:
In Materials Today Communications December 2024 41
Publikováno v:
In Applied Surface Science 15 February 2025 682
Publikováno v:
In Solar Energy 15 January 2025 286