In recent years, the most popular game of drone competition is FPV (first-person flight). In recent days, a special drone race was staged in the basketball stadium of the University of Florida, because the competitors did not rely on the remote control to let the drone Take off and fly, but willpower. Brainwave research has been more than a hundred years, but in addition to some medical applications, such as helping the deaf to move their limbs, has been in the research stage. This competition is also the school's research team wants to apply the experimental results, and promote the core technology BCI, which is the brain machine mouth technology. There are 16 drone racing players participating in this competition. Each player wears EEG headset emotiv. Emotiv can recognize the electric signal released by the player's brain and decode it through computer program. Under the previous settings, The corresponding code corresponds to the corresponding command, thus controlling the behavior of the drone. There have been many cases of using the EEG technology to control the flight of the drone. The general setting is that the drone can take off and accelerate in the case of concentration, and the unmanned opportunity slows down in the relaxed state. If you want the drone to keep flying for a long time, it depends on whether your attention is stable. Of course, from the current information, we can't know the specific rules of the game. Four bands of brain waves "In this game like the United States, there is actually not a lot of information. But I estimate that the speed of their drones should be linked to concentration. The height and direction of the flight is likely to be customized by the flight control, and may not pass the brain. Wave free control.†BrainLink employees analyzed the Lei Feng network reporter. BrainLink is the early application of brainwave technology in the consumer market in China, but their products are mainly used in the health market to detect the emotional state of users. They are not very optimistic about controlling drones with brain waves. "There are two problems in the present: on the one hand, brainwave technology is not enough to extract human thoughts and convert them into digital signals. Only very limited and basic brain-computer interactions can be carried out. The precise control of the machine, for example, wants to control the drone freely in any environment only through EEG technology, which is impossible. However, the preset program and the command-triggered form allow the drone to do some specific scenes. The fixed operation is feasible, such as letting the drone take off and do a simple roll maneuver, this is ok. On the other hand, there are certain requirements for the operator. The operator needs to perform certain training to familiarize with this new operation mode, and this operation may not be a very intuitive "ideal operation". For example, if you want to take off the drone, it may not be the operator who silently sends out a "takeoff" command. Instead, he needs to adjust his thoughts and emotions to control his concentration. When the concentration reaches a certain level. The drone will be triggered to take off. Therefore, the requirements for the operator will be higher. †Brain Link is also doing temptations in this area. In addition to drones, they are still trying to control the movement of robots with brain waves or let the cups float, but apart from the significance of research, they have not seen much about brainwave control. commercial value. This problem is also being explored by brainwave technology researchers and entrepreneurs. At present, the best field for brainwave technology is in the field of brain and mental health. The treatment of brain diseases, combined with other methods to exercise the spirit of the human. On the other hand, smart homes and hot virtual robots nowadays have applications, but the key is to find the point of demand. In a study published by the University of Washington not long ago, the accuracy of brainwave signal recognition of human brainwave signals has reached 95%, but the actual application can be verified by time.
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