Proving the Business Case for the Internet of Things

IBM and Carnegie Mellon team to help blind

Steve Rogerson
November 3, 2015
 
Scientists from IBM Research and Carnegie Mellon University (CMU) have designed an open platform to support the creation of smartphone apps that can help the blind better navigate their surroundings.
 
The researchers used the platform to create a pilot app, called NavCog, which draws on existing sensors and cognitive technologies to inform blind people on the CMU campus about their surroundings by whispering into their ears through earbuds or by creating vibrations on smartphones.
 
The app analyses signals from Bluetooth beacons located along walkways and from smartphone sensors to help users move without human assistance, whether inside campus buildings or outdoors. Researchers are exploring additional capabilities for future versions of the app to detect who is approaching and what is their mood. The NavCog app will soon be available at no cost on the App Store.
 
The first set of cognitive assistance tools for developers is now available via the cloud through IBM Bluemix. The open toolkit consists of an app for navigation, a map editing tool and localisation algorithms that can help the blind identify in near real time where they are, which direction they are facing and additional surrounding environmental information. The computer vision navigation application tool turns smartphone images of the surrounding environment into a 3D space model to help improve localisation and navigation for the visually impaired.
 
“While visually impaired people like myself have become independent online, we are still challenged in the real world,” said IBM fellow Chieko Asakawa, visiting faculty member at Carnegie Mellon. “To gain further independence and help improve the quality of life, ubiquitous connectivity across indoor and outdoor environments is necessary. I’m excited that this open platform will help accelerate the advancement of cognitive assistance research by giving developers opportunities to build various accessibility applications and test non-traditional technologies such as ultrasonic and advanced inertial sensors to assist navigation.”
 
The combination of these multiple technologies is known as cognitive assistance, an accessibility research field dedicated to helping the blind regain information by augmenting missing or weakened abilities. Researchers plan to add various localisation technologies, including sensor fusion, which integrates data from multiple environmental sensors for highly sophisticated cognitive functioning, such as facial recognition in public places. Researchers also are exploring the use of computer vision to characterise the activities of people in the vicinity and ultrasonic technology to help identify locations more accurately.
 
“From localisation information to understanding of objects, we have been creating technologies to make the real-world environment more accessible for everyone,” said Martial Hebert, director of the Robotics Institute at Carnegie Mellon. “With our long history of developing technologies for humans and robots that will complement humans’ missing abilities to sense the surrounding world, this open platform will help expand the horizon for global collaboration to open up the new real-world accessibility era for the blind in the near future.”