Why in news
Scientists developed a brain-computer interface (BCI) that lets a paralysed man control a robotic arm using only his thoughts.
This control was stable and effective for 7 months with minimal recalibration.
How It Works
Tiny sensors were implanted on the brain's surface to detect signals when the participant imagined moving parts of his body.
These sensors read the brain’s intent to move — they don’t send signals back.
A machine learning algorithm was trained to track daily changes in brain activity, making the system more stable over time.
The BCI was first tested using a virtual robotic arm for feedback and training.
Results
The participant successfully controlled a real robotic arm to complete daily tasks like opening a cabinet, picking up a cup etc.
These actions, though simple, are highly impactful for those with paralysis.
Future Scope
More research is needed to adapt the system to complex, real-life environments with distractions.
The technology must be further refined for wider use among people with paralysis.
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