Indoor inertial waypoint navigation for the blind

Indoor navigation technology is needed to support seamless mobility for the visually impaired. This paper describes the construction and evaluation of an inertial dead reckoning navigation system that provides real-time auditory guidance along mapped routes. Inertial dead reckoning is a navigation technique coupling step counting together with heading estimation to compute changes in position at each step. The research described here outlines the development and evaluation of a novel navigation system that utilizes information from the mapped route to limit the problematic error accumulation inherent in traditional dead reckoning approaches. The prototype system consists of a wireless inertial sensor unit, placed at the users' hip, which streams readings to a smartphone processing a navigation algorithm. Pilot human trials were conducted assessing system efficacy by studying route-following performance with blind and sighted subjects using the navigation system with real-time guidance, versus offline verbal directions.

[1]  Nicholas A. Giudice,et al.  Indoor magnetic navigation for the blind , 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[2]  25 Blind Navigation and the Role of Technology , 2008 .

[3]  T. H. Riehle,et al.  An indoor navigation system to support the visually impaired , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[4]  Sumi Helal,et al.  The Engineering Handbook of Smart Technology for Aging, Disability, and Independence , 2008 .

[5]  Sebastian Madgwick,et al.  Estimation of IMU and MARG orientation using a gradient descent algorithm , 2011, 2011 IEEE International Conference on Rehabilitation Robotics.

[6]  Shane M. Anderson,et al.  Indoor waypoint navigation via magnetic anomalies , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[7]  Reinhold Haux,et al.  A performance comparison of accelerometry-based step detection algorithms on a large, non-laboratory sample of healthy and mobility-impaired persons , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[8]  C. Thinus-Blanc,et al.  Representation of space in blind persons: vision as a spatial sense? , 1997, Psychological bulletin.

[9]  Steffen Leonhardt,et al.  Automatic Step Detection in the Accelerometer Signal , 2007, BSN.