Research on the Exoskeleton Enhancing Human Touch

The integration of brain-computer interfaces (BCIs) with exoskeleton systems offers a unique potential to enhance and restore human sensory and motor capabilities. This review delves into both invasive and non-invasive BCI technologies, with a special emphasis on the practical application of electroencephalography (EEG). It critically assess the effectiveness and limitations of EEG in controlling exoskeletons, while providing a detailed comparison of various control methods, including direct neuromuscular stimulation, neurofeedback, and machine learning-based intelligent strategies. Additionally, this review addresses the technical challenges faced by integrated systems, particularly in performing complex tasks and delivering real-time feedback, such as the intricacies of signal decoding, system stability, and user adaptability. The conclusion underscores the importance of future research in enhancing system reliability and accuracy, refining user interfaces, and developing novel algorithms to improve performance and user experience. This review aims to equip researchers in the field with a robust theoretical framework and practical insights, facilitating further advancements in the synergy between BCI and exoskeleton technologies.