sEMG Based ANN for Shoulder Angle Prediction

SEMG-based prediction of masticatory kinematics in rhythmic clenching movements

This paper investigated the ability of a hybrid time-delayed artificial neural network (TDANN)/autoregressive TDANN (AR-TDANN) to predict clenching movements during mastication from surface electromyography (SEMG) signals. Actual jaw motions and SEMG signals from the masticatory muscles were recorded and used as output and input, respectively. Three separate TDANNs/AR-TDANNs were used to predic...

Ann Based Prediction of Blast Furnace Parameters

ANN Based Modeling for Prediction of Evaporation in Reservoirs (RESEARCH NOTE)

This paper is an attempt to assess the potential and usefulness of ANN based modeling for evaporation prediction from a reservoir, where in classical and empirical equations failed to predict the evaporation accurately. The meteorological data set of daily pan evaporation, temperature, solar radiation, relative humidity, wind speed is used in this study. The performance of feed forward back pro...

Ann-based multiple dimension predictor for ship route prediction

This paper presents a new multiple dimension predictive model based on the diagonal recurrent neural networks (PDRNN) with a combined learning algorithm. This method can be used to predict not only values, but also some points in the multi-dimension space. And also its applications in data mining will be discussed in the paper. Some analysis results show the significant improvement to ship rout...

SEMG for Human Computer Interface Using ANN to Navigate Wheel Chair

This paper presents an approach to identify hand gestures with muscle activity separated from electromyogram (EMG) using Back Propagation analysis with the goal of using hand gestures for humancomputer interaction. While there are a number of previous reported works where EMG has been used to identify movement, the limitation of these works is that the systems are suitable for gross actions and...