DATA SPOON \|/ miLAB 2015
A digital spoon for assessing self-feeding skills of children with Cerebral Palsy
Children with Cerebral Palsy (CP) often have significant difficulties mastering self-feeding.
We created a prototype for assessing their self-feeding skills via a novel instrumented spoon that monitors upper extremity biomechanics involved in eating.
The spoon is accompanied by an application for Android mobile devices, which analyzes the data collected with DataSpoon, and presents it as a graph. Based on this graph, professional caregivers can adjust treatment plans to the specific skill level of each child, and track subtle changes in hand movements over time.
Researchers | Dr. Oren Zuckerman, Prof. Tamar Weiss