This wheelchair is mind controlled using AI technology

This wheelchair is mind controlled using AI technology

  • An international research team has developed a mind-operated wheelchair.
  • Three people with motor disability due to tetraplegia were able to control the wheelchair using non-invasive equipment.
  • “We show that end users of such devices will be able to navigate in a natural environment with the help of a brain-machine interface,” says one of the authors.
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An international team of researchers has taken a major step towards creating and selling mind-controlled wheelchairs that will help people with limited mobility get around more efficiently.

Study—published iScience and explains how three people with motor disabilities due to tetraplegia – joined by authors from universities in Germany, the UK, Italy, Switzerland and the United States – managed to control it. Wheelchair smart with mind to act.

With varying degrees of performance, the participants achieved this after months and three sessions of training per week (need to control visual feedback that mimics a steering wheel turning left or right) and thanks to non-invasive equipment (without implants) brain machine. interface.

Three subjects wore a cap with electrodes that recorded electrical activity in the brain, while an amplifier sent these signals to a computer that “translated” these signals into motion. So this could be an indication of the commercial viability of smart wheelchairs that move with the mind.

“We show that end users of such devices can navigate in a natural environment with the help of a brain-machine interface,” says research director José del R. Millán. to collect University of Texas.

Wheelchair can assess learning dynamics over several months

As the institution contextualizes, the brain of a paralyzed person cannot command the body to move; but still active. The role of this interface is to mediate between the two to capture and facilitate this movement.

“To our knowledge, this is the only report of an ICM (brain-machine interface) powered wheelchair that simultaneously involves multiple end users with severe motor disabilities; it evaluates learning dynamics over several months; as the authors explain in the study, it is self-sufficient, independent of external stimuli. uses a high-speed ICM and evaluates it in a semi-ecological environment outside of a controlled laboratory environment.

“We showed that three paralyzed users with spinal cord injuries can be trained to use a non-invasive, thought-controlled wheelchair and perform complex navigation tasks.” The scientists also demonstrated that “continuous and dexterous control of robots is possible through discrete and uncertain low-DOF control channels” through a “combination of human and artificial intelligence.”

Acknowledging some of the limitations of the study and the need for further study, the authors; However, they conclude that “this represents a critical advance towards clinical and home use of brain-controlled assisted mobility technology.”

READ NOW: This artificial intelligence can read your mind by scanning your brain with an MRI

ALSO READ: This initiative has created a bionic hand that can improve its function the more time it spends with its wearer.

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