Thought-Controlled Robotic Hands Achieved with Brain-Computer Interface
Summary
A groundbreaking brain-computer interface system enables users to control robotic hands with their thoughts alone, decoding brain signals through electroencephalography and AI to achieve over 80% accuracy in real-time multi-finger movements.
Key Points
- Noninvasive brain technology allows control of robotic hands with thought.
- The technology uses electroencephalography (EEG) and AI to decode brain signals and translate them into commands for robotic fingers.
- The system achieves over 80% accuracy for two-finger tasks and over 60% accuracy for three-finger tasks in real-time.