Enabling Independent Navigation for Visually Impaired People through a Wearable Vision-Based Feedback System.
This work introduces a wearable system to provide situational awareness for blind and visually impaired people. The system includes a camera, an embedded computer and a haptic device to provide feedback when an obstacle is detected. The system uses techniques from computer vision and motion planning to (1) identify walkable space; (2) plan step-by-step a safe motion in the space, and (3) recognize and locate certain types of objects, for example the location of an empty chair. These descriptions are communicated to the person wearing the device through vibrations. We present results from user studies with low- and high-level tasks, including walking through a maze without collisions, locating a chair, and walking through a crowded environment while avoiding people.[...]
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The Massachusetts Institute of Technology's Computer Science and Artificial Intelligence Laboratory (CSAIL) conducts research in all areas of computer science and AI, such as robotics, systems, theory, biology, machine learning, speech recognition, vision and graphics. Here you'll find videos showcasing the exciting research being done at CSAIL.
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