At a glance
ClinicalIndex Comparison RecordStandardized by ClinicalIndex from the ClinicalTrials.gov record · verify against the source.
Application of Artificial Intelligence to Improve Access to Augmentative and Alternative Communication
In Brief
A clinical study evaluating Testing artificial intelligence algorithms for interpreting gestures for Cerebral Palsy and Cortical Visual Impairment. Completed, enrolled 6 participants across 1 site.
Detailed Summary
The overarching objective of this project is to transform access to assistive communication technologies (augmentative and alternative communication) for individuals with motor disabilities and/or visual impairment, for whom natural speech is not meeting their communicative needs. These individuals often cannot access traditional augmentative and alternative communication because of their restricted movement or visual function. However, most such individuals have idiosyncratic body-based means of communication that is reliably interpreted by familiar communication partners. The project will test artificial intelligence algorithms that gather information from sensors or camera feeds about these idiosyncratic movement patterns of the individual with motor/visual impairments. Based on the sensor or camera feed information, the artificial intelligence algorithms will interpret the individual's gestures and translate the interpretation into speech output. For instance, if an individual waves their hand as their means of communicating "I want", the artificial intelligence algorithm will detect that gesture and prompt the speech-generating technology to produce the spoken message "I want." This will allow individuals with restricted but idiosyncratic movements to access the augmentative and alternative communication technologies that are otherwise out of reach.
Study Details
Timeline
Interventions
The effectiveness of artificial intelligence algorithms for detecting and interpreting body-based gestures by individuals who have motor/visual impairments will be evaluated.