Notice: add_custom_image_header is deprecated since version 3.4.0! Use add_theme_support( 'custom-header', $args ) instead. in /var/www/html/shows/wp-includes/functions.php on line 4334 2012 ITP Thesis » Lily Szajnberg

GAGE - Gait Assessment and Gesture Evaluation

Lily Szajnberg

Using 3D cameras and face-tracking, GAGE provides a cheap, accessible system for objectively automating existing motion and gait disorder tests, all from the comfort of the patient’s home.

Currently, it is necessary for health care professionals to diagnose movement and gait disorders through subjective visual analysis person or through a series of invasive complex tests. Clinicians use scorecards like the Abnormal Involuntary Motion Scale (Tardive Dyskinesia) and the Unified Parkinson’s Disease Rating Scale (Parkinson's Disease) to qualitatively evaluate movement abnormalities. Recently, technology such as marker-based motion capture and accelerometers have been used to capture more quantitative, objective data. However, these use necessarily invasive hardware and require clinician and lab time, both of which are expensive and time-consuming.

Using inexpensive 3-dimensional camera and face-tracking technology, GAGE captures large and small scale movements while being completely non-invasive. Moreover, the product allows patients to conduct prognostic and diagnostic motion and gait tests from the comfort of their own homes. The convenience of testing from home, coupled with objective data that uploads directly to an electronic medical records system, creates a more reliable form of care that can alert doctors and clinicians to changes in patient health earlier and more consistently.