One of the projects we presented at Maker Faire Rome 2014 is a concept of a hardware/software tool written in Python to help children with various degrees of physical disabilities learn to read. It should use low-cost capacitive sensors as well as other kinds of ‘natural user interfaces’ depending on the motor skills of the child/user. It might also be used by people with ‘very serious disabilities’, such as for example children with brain paralysis.
The tool should allow to follow the child’s natural path to reading by working on metaphonology, visual analysis, syllabic and graphemic sequences at increasing levels of difficulty. The therapist may choose the most suitable type of sensor, ranging from simple touch sensors such as a small ball the child can touch or squeeze to more complex interfaces with multiple functionally differentiated active areas.
See a draft of a video presentation of the tool here.
Source code here.