Stanford scientists have developed a generative learning framework paired with a compact wearable EMG device that extrapolates limited sensor inputs to reconstruct muscle activity equivalent to that captured by high-density sensor arrays.
Stanford researchers in Zhenan Bao's Group have developed a nanomesh sensor printed directly on the hand that uses an AI-trained model to detect multiple movement types from a single sensor.