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RISApplication of statistical techniques and artificial neural network to estimate force from sEMG signals
This paper presents an application of design of experiments techniques to determine the optimized parameters of artificial neural network (ANN), which are used to estimate force from Electromyogram (sEMG) signals. The accuracy of ANN model is highly...
Estimate Human-Force from sEMG signals for a Lower-Limb Rehabilitation Robot
This paper presents an application of artificial neural network (ANN) to estimate human forces from Electromyogram (sEMG) signals. There are plenty of algorithms that are used to obtain the optimal ANN setting. The accuracy of ANN model is highly...
Digital output MEMS pressure sensor using capacitance-to-time converter
A time-delay parallel cascade identification system for predicting jaw movements
(TDPCI) to predict jaw motion using Electromyography (EMG) signals recorded from two masticatory muscles, namely masseter and temporalis. The Obtained results demonstrate the efficiency of TDPCI in predicting time-varying mastication kinematic parameters...
Simplifying user interaction solutions for the FUM Bionic Hand-I
to simplify the usage of this prosthesis by its user. The FUM Bionic Hand-I has 5 degrees of freedom and consists of several sub systems such as pattern learning glove, wireless EMG Signal transmitter, RFID system for identify objects and a rich graphical user...