AI Robotic Glove for Stroke Victims to Regain Fine Motor Skills
– that can help patients with neuromuscular disorders relearn how to play the piano.
– Neurotrauma, including traumatic brain injury (TBI) and strokes, is a significant global health problem, affecting millions of people each year.
– The glove is outfitted with piezoresistive sensor arrays with 16 taxels for the five fingertips, which measure pressure with high accuracy and can recognize contact pressure by calculating applied force.
– The researchers used random forest, K-nearest neighbor, and artificial neural network algorithms to train the glove's AI system with data collected from the fingertip sensors.
– The artificial neural network algorithm demonstrated the highest degree of accuracy, with over 97% classification accuracy when a human subject played the piano and 94.6% accuracy without the human subject.
– The AI-powered glove has the potential to assist disabled individuals in relearning dexterous tasks like playing musical instruments.
– Stroke aftermath affects an estimated 101 million people globally, and the number has nearly doubled in the last 30 years.
– The AI robotic glove provides hope for stroke victims to regain fine motor skills and potentially play the piano again.
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