Smart exoskeleton glove restores grip for paralyzed hands

Researchers at the Technical University of Munich have developed a lightweight fabric glove that helps people with paralyzed hands grip everyday objects. Using forearm muscle signals and machine learning, the glove predicts when a user wants to grasp something and inflates internal air chambers to assist finger movement with 97% reliability. In testing with an ALS patient, the system worked in 90% of attempts, allowing the person to hold a fork for the first time in four years.