Improved myoelectric prosthetic control via using inertial measurement unit (IMU) data.

Myoelectric control refers to using electromyogram (EMG) signals recorded usually on the skin surface in order to decode movement intentions and, ultimately, drive prosthetic devices. In this talk, I will be presenting recent work on myoelectric control of upper limbs which provides support for the use of multi-modal input data, such as accelerometers, gyroscopes and magnetometers. Our results come from both offline analyses, as well as real-time myoelectric experiments with able-bodied and amputee subjects.