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Brain Computer Interfaces: Paralyzed Woman Controls Robotic Arm With Her Thoughts

2 responses to “Brain Computer Interfaces: Paralyzed Woman Controls Robotic Arm With Her Thoughts

  1. eric June 12, 2012 at 3:19 am

    Here’s some older stuff from 2009 that didn’t use implants.
    The latest work is a step more advanced and measures the electrical activity in a person’s brain using electroencephalography (EEG) and blood flow within the brain using near-infrared spectroscopy (NIRS) to produce data that is then interpreted into control information. It requires no physical movement.

    The system was not demonstrated on Tuesday but Honda did release a video of experiments. It shows a controller sitting in a chair with a large hemispheric scanner over his head, like the sit-down hair dryers you find in hair salons.

    Both the EEG and NIRS techniques are established but the analyzing process for the data is new. Honda said the system uses statistical processing of the complex information to distinguish brain activities with high precision without any physical motion.

    In the video, the controller is shown one of four cards — right hand, left hand, foot and tongue — and asked to visualize making a corresponding movement. After being shown the card for the right hand he visualizes moving that hand but physically remains completely still. After an indeterminable period Honda’s Asimo robot, to which the system is hooked-up, raises its right hand.

    Honda claims a 90 percent success rate using this method to correctly analyze thoughts.

  2. eric June 16, 2012 at 3:12 am

    You know, the libertarian singularity types are working from the assumption of a world which is almost Newtonian. That’s not exactly accurate, they updated some of their worldviews, but it still feels antiquated, right down to Elon Musk’s old school rocket and capsule approach.

    The total number of RVers who had a grasp on the discipline was estimated to be somewhere around 1,000-2,000. The high tier talent was a much smaller group, lower hundreds. Considering even rare scientific disciplines, like Astrophysicists for example, number around 6,000, it’s no surprise the discipline isn’t common knowledge.

    Top it off with the fact that most of the RVers stick around more for self-exploration, and in many cases tend to loathe STEM, it’s no surprise the two fields haven’t met. Problems with techniques are common, it requires a STEM-like approach to get results, while still having a lot of creative flexibility.

    The futurists updated their vision to accommodate biotechnology, AI, space travel, all of that. Any sort of gene therapy or prosthesis is looked at from this view, with no psychic forces acting on things. If we actually did recreate a brain using AI, it would have to be able to do the same things we can already do, possibly with different construction materials as the basis than what we’ve been using, which in itself would yield a change in the process. T

    he RNG experiments show humans can effect things, personal experiments can show that humans can effect computers and electronics in a variety of ways. The assumption is that it’s not real, not to mention that it can’t compete with the established returns on investment for other methods.
    MIT engineers have developed a fuel cell that runs on the same sugar that powers human cells: glucose. This glucose fuel cell could be used to drive highly efficient brain implants of the future, which could help paralyzed patients move their arms and legs again.

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