An accelerated scanning communication system with adaptive automatic error correction mechanism
Hiroki Mori · 2014
This paper describes a novel automatic error correction method for scanning communication, whose mechanism is basically analogous to that of continuous speech recognition. It has two core components: one is the switch timing model, and the other is the statistical language model. By employing these models, the proposed system can estimate most probable sequence of input syllables for a given sequence of switch timing, with taking user characteristics into account. Thirteen subjects without disabilities and an ALS subject participated in a text input experiment using the proposed scanning communication system. For the ALS subject, the system improved the character correct rate from 77.7% to 97.7%, allowing dramatically fast input.