“This is a very cool mix of disciplines”
University of Nevada, Reno computer science engineering team Kostas Bekris and Eelke Folmer presented their indoor navigation system for people with visual impairments at two national conferences in the past two weeks. The researchers explained how a combination of human-computer interaction and motion-planning research was used to build a low-cost accessible navigation system, called Navatar, which can run on a standard smartphone.
“Existing indoor navigation systems typically require the use of expensive and heavy sensors, or equipping rooms and hallways with radio-frequency tags that can be detected by a handheld reader and which are used to determine the user’s location,” Bekris, of the College of Engineering’s Robotics Research Lab, said. “This has often made the implementation of such systems prohibitively expensive, with few systems having been deployed.”
Instead, the University of Nevada, Reno navigation system uses digital 2D architectural maps that are already available for many buildings, and uses low-cost sensors, such as accelerometers and compasses, that are available in most smartphones, to navigate users with visual impairments. The system locates and tracks the user inside the building, finding the most suitable path based on the users special needs, and gives step-by-step instructions to the destination.
“Nevertheless, the smartphone’s sensors, which are used to calculate how many steps the user has executed and her orientation, tend to pick up false signals,” Folmer, who has developed exercise video games for the blind, said. “To synchronize the location, our system combines probabilistic algorithms and the natural capabilities of people with visual impairments to detect landmarks in their environment through touch, such as corridor intersections, doors, stairs and elevators.”
via University of Nevada, Reno
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