University of Nevada’s Yantao Shen is developing a hand-worn robotic device to help blind and sight impaired people navigate around obstacles, or locate, sense and grasp objects. Examples include picking up a glass or operating a door handle. The technology combines vision, tactile, force, temperature and audio sensors.
According to Shen: “The visual sensors, very high resolution cameras, will first notify the wearer of the location and shape, and the proximity touch sensors kick in as the hand gets closer to the object. The multiple sensors and touch actuators array will help to dynamically ‘describe’ the shape of the object to the hand when the hand is close to the object, allowing people with vision loss to have more independence and ability to navigate and to safely grasp and manipulate.”
Wearable Tech + Digital Health San Francisco – April 5, 2016 @ the Mission Bay Conference Center
NeuroTech San Francisco – April 6, 2016 @ the Mission Bay Conference Center
Wearable Tech + Digital Health NYC – June 7, 2016 @ the New York Academy of Sciences
NeuroTech NYC – June 8, 2016 @ the New York Academy of Sciences