The work, published April 10 in PLOS One, shows that a combination of electromyography and force myography is more accurate at predicting hand movements ... both EMG and FMG sensors.

Graduate student Peyton Young works with a robotic arm controlled by electromyography (EMG) signals. Young has now developed ... held different loads with different hand grasps. Data from the sensors ...

and sensors for vertical load, knee and ankle position, torque, and velocity). EMG and mechanical-sensor data were processed with the use of a phase-dependent pattern-classification method before ...

A combination of electromyography and force myography is more accurate at predicting hand movements than ... the forearm and includes both EMG and FMG sensors. He used this device with a series ...