To enhance the diversity and simplicity of hand gesture recognition, an approach based on ElectroMyoGraphy (EMG) and ACCeleration(ACC) signals was proposed to recognize dynamic gestures. Firstly, the gesture related information was collected by MYO sensors. Then, the dimensionality of ACC signal was reduced and the preprocessing of EMG was done. Finally, to reduce the number of training samples,the posture based on ACC signal was recognized by using Collaborative Sparse Representation (CSR) and the gesture based on EMG signal was classified by using Dynamic Time Warping (DTW) algorithm and the K-Nearest Neighbor ( KNN) Classifier. When the ACC signal was identified by using CSR, the optimal number of samples and the dimensions of the dimensionality reduction were studied to reduce the complexity of gesture recognition. The experimental results show that the average recognition accuracy of the EMG for the hand gesture tested reaches 99.17%; the ACC signal for four postures achieve 96.88%. The recognition accuracy for the 12 dynamic gestures reaches 96.11%. This method has high recognition accuracy and fast calculation speed for dynamic gestures.

Considering the intuitionistic fuzzy multi-attribute decision-making problem that the decision makers with bounded rationality psychological characteristics and attribute weights and probability information of situation are completely unknown, a multi-attribute decision-making based on the prospect theory and Dempster-Shafer theory was proposed. Firstly, the probabilites of the states were calculated by Dempster-Shafer theory, and the decision-making weight functions of the states were determined. Then, the normal distribution probability density function was utilized to construct the intuitionistic fuzzy reference point. Based on the difference between the attribute value and the reference point, the value function matrix and the prospect value matrix were obtained. In addition, an optimization model was developed to derive the attribute weights with the principle of maximizing the comprehensive prospect value, and all the alternatives were further ordered. Finally, the proposed approach was applied to a numerical example about the selection of game products. The experimental results show that the decision-making results are reasonable and reliable, and the actual situation can be reflected.