... measurement performance. Design/methodology/approach A mechanical model was established based on the structure of the four-fulcrum dynamometer, and output performance calibration experiments were conducted. The sparrow search algorithm-backpropagation (SSA-BP) neural network was constructed using...

... memory(ABiLSTM) model, integrating convolutional neural networks (CNN), bi-directional long short-term memory (Bi-LSTM) and an attention mechanism, to recognize the current gait pattern. The outcomes of this gait pattern recognition are then applied to PDR. Based on distinct gait patterns, corresponding...

..., and spatial resolution of reconstructed conductivity distribution is reduced. The purpose of this study is to enhance reconstruction quality in cases of limited measurement. Design/methodology/approach A new data expansion method based on the shallow convolutional neural network is proposed. An eight...

... this, the pre-processed signals are subjected to a classification process, where the neural network (NN) model is used. The model finally classifies six movements like “elbow extension, elbow flexion, forearm pronation, forearm supination, hand open, and hand close,” respectively. To make the classification...

... photoplethysmography (PPG) can provide information on blood pressure changes. A blood pressure measurement system integrating the information of pressure pulse wave and the finger PPG may improve measurement accuracy. Additionally, a neural network can synthesize the information of different types of signals...

...Yassine Selami; Na Lv; Wei Tao; Hongwei Yang; Hui Zhao Purpose The purpose of this paper is to propose cuckoo optimization algorithm (COA)-based back propagation neural network (BPNN) to reduce the effect of the nonlinearities presented in laser triangulation displacement sensors. The 3D...