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 wearable device and a-mode ultrasound


Real-time gesture recognition through use of wearable device and A-mode ultrasound

#artificialintelligence

A-mode ultrasound has the advantages of high resolution, simple calculation and low cost in predicting skillful gestures. In order to accelerate the popularization of A-mode ultrasonic gesture recognition technology, we have developed a human-machine interface that can interact with the user in real time. Data processing includes Gaussian filtering, feature extraction, and PCA dimension reduction. NB, LDA and SVM algorithms were chosen to train machine learning models. The entire process was written in C to classify gestures in real time.