The built environment contains many obstructions and features which can impede accessibility for people with disabilities, including for those with age related mobility impairments. This project looks into an efficient means for mapping these barriers automatically to enhance the planning of future layouts by identifying the inaccessibility issues directly from users. Movement patterns from wrist-worn wearables and inertia sensors on wheelchairs will be converted to into a measure of ‘difficulty’ that can be used to highlight problematic locations. One advantage of this approach is the capture of many subtle features that a mobility-impaired user may find inconvenient and an evidence base for spot checks and surveys of the public realm.
With Mike Catt (Co-investigator, Medical Sciences) and Reuben Kirkham (research assistant, Computing).
Project website: http://www.ncl.ac.uk/ageing/research/projects2015/sebastian-weise/