Ultrasonic Gesture Recognition with Neural Network
نویسندگان
چکیده
This report introduces an approach to recognize hand gestures by utilizing the Doppler effect of ultrasonic soundwaves. I use a microphone array as the receivers and two speakers as the transmitters to generate ultrasonic soundwaves. Gestures are characterized through the Doppler frequency shift they generate in reflections of the soundwaves. I then apply the artificial neural network algorithm for the classification of gestures. The accuracy of the prediction steadily reaches a very high value at 99.6%, which proves the reliability of the approach. With this approach, we can realize non-touch control, which will be of great significance in human-computer interactions in the next few decades, at a very low cost.
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