Shulou(Shulou.com)11/24 Report--

CTOnews.com, November 25, according to the China Patent announcement of the State intellectual property Office (application no.: CN115390655A), the patents applied by Huawei Technology Co., Ltd. and Tianjin University for "human-computer interaction methods, human-computer interaction devices and storage media" were announced.

According to the summary, the embodiment of the application provides a human-computer interaction method, a human-computer interaction device and a storage medium. The method includes displaying a man-machine interface, which includes an operable object and a visual stimulation area. A first operation command is executed on the operable object, wherein, according to the first signal, the first operation command determines that the first signal is an EEG signal generated by the user looking at the first region. The first region is a region of a plurality of regions around the visual stimulation area, and the user looks at different areas in the plurality of regions to generate different EEG signals. The different EEG signals indicate the execution of different operation commands associated with the operable object.

CTOnews.com learned that this application enables users to quickly issue different operation commands without looking directly at visual stimuli, thus improving the user experience.

Prior to this, Professor Xu Minpeng of Tianjin University published an article on the "brain-computer interface community" Wechat official account, and MetaBCI, China's first comprehensive open source software platform for brain-computer interface, was officially released.

At present, brain-computer interface is one of the technologies that are about to land in the frontier field of science and technology. at present, some areas in China have begun to provide policy support for brain-computer interface research. Shanghai has issued the "Action Plan for Shanghai to build a Future Industrial Innovation Highland for the Development and growth of Future Industrial clusters", which points out that Accelerate breakthroughs in the fields of non-invasive brain-computer interface technology, brain-computer fusion technology, brain-like chip technology, brain computing neural model and so on.

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