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Millions of people around the world face motor impairments due toParkinson's, cerebral palsy, muscular dystrophy and other physicaldisabilities. The goal of this project is to increase the usable surface-areaof devices for users with these disabilities by creating a simple, inexpensive,and portable way to enable high accuracy touch interaction with large surfacessuch as a table or even a wall.  This project uses a novel approach that analyzes the acoustic signals at fourpiezoelectric microphones placed on the interactive surface to identify soundsrelated to the same event (e.g., a finger tap) at each of the microphones. ALTo(Acoustic Localized Touch) uses the results of this signal processing tocompute the time difference of arrival (TDOA) across the microphones. Thecollected TDOA data is used to compute an approximate location of a soundsource (e.g., a finger tap) using a collection of hyperbolic equations.  An experimental evaluation of a system prototype was used to identify anumber of software and signal processing optimizations needed to significantlyimprove accuracy and create a usable system. The results of the researchindicate that it is possible to detect the location of a touch with highaccuracy. The ALTo prototype achieves an accuracy of 1.45cm in the x-directionand 2.72cm the y-direction which is within the range for the target usage(i.e., those with motor impairments).

ALTo: Ad Hoc High-Accuracy Touch Interaction Using Acoustic Localization