Real-time prosthetic hand control by using a minimal amount of sensors.

In this talk, Agamemnon will present recent work on real-time, machine learning-based prosthetic hand control by using a single pair of EMG/IMU sensors, and a novel strategy for classification error rejection. Our proposed methodology would be suited for existing clinical systems used by the trans-radial amputee community.