Robot arm being used with brain signals © Alain Herzog 2021 EPFL
No longer a science fiction trope, the use of brain reading technology has improved hugely in recent years. One of the most interesting and practical uses we’ve seen tested so far comes from researchers at the Swiss Federal Institute of Technology Lausanne (EPFL).
Thanks to a machine-learning algorithm, a robot arm and a brain-computer interface, these researchers have managed to create a means for tetraplegic patients (those who can’t move their upper or lower body) to interact with the world.
In tests, the robot arm would perform simple tasks like moving around an obstacle. The algorithm would then interprets signals from the brain using an EEG cap and automatically determine when the arm had made a move that the brain considered incorrect, for example moving too close to the obstacle or going too fast.
Over time the algorithm can then adjust to the individuals preferences and brain signals. In the future this could lead to wheelchairs controlled by the brain or assistance machines for tetraplegic patients.
