Modified Nonnegative Matrix Factorization Using the Hadamard Product to Estimate Real-Time Continuous Finger-Motion Intentions

In daily life, most hand movements involve the simultaneous activation of multiple fingers. Models generated by semiunsupervised learning in which only individual finger activation data are used in training have recently been suggested for simultaneous and proportional control of prosthetic robot hands. Although training with many datasets should be avoided, simultaneous activation data need to be used, for example, when the model estimation of...