From Neuroscience News: Complete Post through this link…
Summary: Researchers have developed a non-invasive method to identify hand gestures through brain imaging.
The technique utilizes magnetoencephalography (MEG) and could contribute to the evolution of brain-computer interfaces. Such interfaces could help individuals with physical challenges, like paralysis or amputated limbs, to control supportive devices using their minds.
This work represents the most successful non-invasive single-hand gesture differentiation achieved to date.
Key Facts:
- The researchers successfully used non-invasive MEG to distinguish different hand gestures with over 85% accuracy.
- The technique, which is as safe as taking a patient’s temperature, has potential applications for those with physical challenges.
- MEG measurements from only half of the brain regions sampled yielded nearly comparable results, suggesting future MEG helmets might require fewer sensors.
