Smartphone Sensor
Operated Indoor Navigation System for Blind People
Published on May 21, 2012 at 3:34 AM
By
Kalwinder Kaur
Scientists at the
University of Nevada, Reno have developed an indoor navigation system for blind
people which uses motion-planning and human-computer interaction. Called as
Navatar, the low-cost navigation system can be accessed from a normal
smartphone.
Human-computer interaction researcher Eelke Folmer of the
University of Nevada, Reno, watches as Dora Uchel, a university student,
demonstrates the indoor navigation system for the visually impaired developed
by Kostas Bekris and Folmer of the Computer Science Engineering Department.
Photo credit: Mike Wolterbeek, University of Nevada, Reno
Conventional
indoor navigation systems include fitting radio-frequency tags in rooms and
corridors and using handheld readers for finding out the location of the user.
Other systems use heavy, expensive sensors. Navatar, on the other hand, uses
low-cost sensors and digital two-dimensional architectural maps for helping
users with visual impairments to navigate the building. Based on the special
requirements of the user, the Navatar system locates, tracks and provides the
instructions to the destination.
Presently,
the sensors in the smartphone have the tendency to pick up false signals. They
are used to calculate the number of steps taken by the user. The Navatar system
combines the ability of blind people to detect intersections, doors, elevators
and other such landmarks through touch and probabilistic algorithms to
determine the location of the person. The system provides directions through
synthetic speech.
The
researchers are trying to integrate the system with outdoor navigation systems
utilizing GPS. The navigation system may also benefit users with vision.
Kostas
Bekris and Eelke Folmer, the researchers, won a PETA Proggy Award for
Leadership in Ethical Science for their navigation system. They had presented
the system at the CM SIGCHI Conference on Human Factors in Computing Systems
and the IEEE International Conference on Robotics.