After years in the making, the AcceleGlove open source data glove is now available for purchase. Originally designed for use as an automated American Sign Language (ASL) interpreter, the AcceleGlove can also be used for a host of other applications thanks to its open source Software Development Kit (SDK). Developers and hobbyists alike can adapt the glove for use in assistive technology, rehabilitation, robotics, video gaming, virtual reality or a computing input device to name a few.
Toyota and Japanese research foundation RIKEN have teamed up to create a revolutionary wheelchair steered by mind control. This remarkable development is one of the first practical uses of EEG (Electro-encephalogram) signals. Designed for people with severe disabilities, the Toyota/RIKEN wheelchair is fitted with an EEG detector in the form of a electrode array skull cap, a cheek puff detector and a display that assists with control. To turn left, right and move forward, the driver simply thinks about the movement and the wheelchair instantly and seamlessly responds. To stop the wheelchair, the driver puffs his/her cheek. A detector on the face picks up the signal and immediately stops the wheelchair. This form of braking is necessary for safety reasons as a puff detector is more reliable than the EEG reader.