WiMi Hologram Cloud a leading global Hologram Augmented Reality (“AR”) Technology provider announced that it had made significant progress in the field by developing a humanoid control system based on hybrid signals BCI.
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The technical implementation path of the system consists of several steps. First, multiple sensors need to be used to record multiple complementary signals such as Electromyography (EMG), Electroencephalogram (EEG), Electrooculography (EOG) and Event-related Desynchronization (ERD), Steady-state Visual Evoked Potentials (SSVEP), and Near-infrared Spectroscopy (NIRS).
The signals recorded by these sensors need to be pre-processed to remove interfering signals, noise reduction, etc. Then, the signals are subjected to feature extraction, signal classification, and other operations using machine learning algorithms to decode the BCI signals accurately. Finally, the decoding results are mapped to the humanoid robot control to realize the power of the humanoid robot.
The system offers several advantages over traditional BCI techniques. First, by recording and analyzing multiple complementary signals, brain activity information can be more comprehensively obtained, thus improving the accuracy and robustness of decoding. Second, data fusion technology can further enhance the robustness and reliability of the system and avoid recognition errors caused by the specificity of a single signal. In addition, machine learning algorithms can further improve the decoding speed and accuracy, thus increasing the information transmission rate. Finally, the humanoid control system based on hybrid BCI technology can achieve more natural and precise control, which can be applied to many fields, such as the robot and disabled assistance.
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Specific advantages of the hybrid BCI technique over the conventional BCI technique are as follows:
Improved accuracy and robustness: Hybrid BCI technology utilizes multiple complementary signal sources, such as EMG, EEG, EOG, and SSVEP, to improve accuracy and robustness through data fusion techniques. Numerous sources can provide more comprehensive and reliable information than a single source, thus improving the accuracy and robustness of the system.
Enhanced information transfer rate: In traditional BCI technology, a single source may need to provide more information for high-speed human-computer interaction. Hybrid BCI technology, however, combines multiple sources to enhance the information transfer rate, resulting in faster and more natural human-computer exchange.
Improved Suitability and Operability: Hybrid BCI technology takes advantage of multiple signal sources, which can improve the suitability and operability of the system. For example, some users may need help interacting effectively with a single source, but combining multiple sources can provide more options and make it easier to achieve effective interaction.
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