Zobrazeno 1 - 10
of 926
pro vyhledávání: '"GAO XiaoRong"'
Autor:
Tan, Ashton Yu Xuan, Yang, Yingkai, Zhang, Xiaofei, Li, Bowen, Gao, Xiaorong, Zheng, Sifa, Wang, Jianqiang, Gu, Xinyu, Li, Jun, Zhao, Yang, Zhang, Yuxin, Stathaki, Tania
Enhancing the safety of autonomous vehicles is crucial, especially given recent accidents involving automated systems. As passengers in these vehicles, humans' sensory perception and decision-making can be integrated with autonomous systems to improv
Externí odkaz:
http://arxiv.org/abs/2408.16315
Brain-computer interfaces (BCIs) offer a way to interact with computers without relying on physical movements. Non-invasive electroencephalography (EEG)-based visual BCIs, known for efficient speed and calibration ease, face limitations in continuous
Externí odkaz:
http://arxiv.org/abs/2311.12592
Autor:
Miao, Yining, Shi, Nanlin, Huang, Changxing, Song, Yonghao, Chen, Xiaogang, Wang, Yijun, Gao, Xiaorong
The ultimate goal of brain-computer interfaces (BCIs) based on visual modulation paradigms is to achieve high-speed performance without the burden of extensive calibration. Code-modulated visual evoked potential-based BCIs (cVEP-BCIs) modulated by br
Externí odkaz:
http://arxiv.org/abs/2311.11596
Autor:
Sun, Yike, Chen, Xiaogang, Liu, Bingchuan, Liang, Liyan, Wang, Yijun, Gao, Shangkai, Gao, Xiaorong
Brain-computer interface (BCI) technology is an interdisciplinary field that allows individuals to connect with the external world. The performance of BCI systems relies predominantly on the advancements of signal acquisition technology. This paper a
Externí odkaz:
http://arxiv.org/abs/2308.16102
Electroencephalography (EEG) signals, known for convenient non-invasive acquisition but low signal-to-noise ratio, have recently gained substantial attention due to the potential to decode natural images. This paper presents a self-supervised framewo
Externí odkaz:
http://arxiv.org/abs/2308.13234
Autor:
Shi, Nanlin, Miao, Yining, Huang, Changxing, Li, Xiang, Song, Yonghao, Chen, Xiaogang, Wang, Yijun, Gao, Xiaorong
The mission of visual brain-computer interfaces (BCIs) is to enhance information transfer rate (ITR) to reach high speed towards real-life communication. Despite notable progress, noninvasive visual BCIs have encountered a plateau in ITRs, leaving it
Externí odkaz:
http://arxiv.org/abs/2308.13232
Autor:
Miao, Yining, Shi, Nanlin, Huang, Changxing, Song, Yonghao, Chen, Xiaogang, Wang, Yijun, Gao, Xiaorong
Publikováno v:
In Expert Systems With Applications 1 September 2024 249 Part B
Autor:
Wen, Yu1 (AUTHOR) 2022201057@my.swjtu.edu.cn, Gao, Xiaorong1 (AUTHOR) gxrr@vip.163.com, Luo, Lin1 (AUTHOR), Li, Jinlong1 (AUTHOR)
Publikováno v:
Sensors (14248220). Jun2024, Vol. 24 Issue 11, p3477. 12p.
Autor:
Sun, Yike, Li, Yuhan, Chen, Yuzhen, Yang, Chen, Sun, Jingnan, Liang, Liyan, Chen, Xiaogang, Gao, Xiaorong
Publikováno v:
In Expert Systems With Applications 15 October 2024 252 Part A
Publikováno v:
In iScience 19 April 2024 27(4)