关键词: 可穿戴设备,手势识别,超声波,Goertzel算法,隐马尔可夫模型,Doppler效应

Abstract: Wearable equipment has several limitions such as the smaller shape,limited power and CPU performance,which the traditional methods of human-computer interaction based on the touch screen and the computer vision cannot deal with.Based on the Doppler effect of sound waves,we proposed a low-power robust method.The method depends on Goertzel algorithm to extract the features of soundwave’s frequency-shifted, so that the moving direction of the user’s hand can be got ,and furthermore depends on the HMMs to classify the hand gestures.Using the proposed method,we conducted a series of comparative experiments on Surface Pro,one of the Microsoft mobile terminals.The experiment results show that no matter in the quiet environment or in the noisy one,the proposed method both has quite high precision rate,lower computational complexity which can lead to lower power consuming and better rubustness.So the proposed method can meet the needs of wearable equipment development for gesture recognition.

Key words: Wearable equipment,Gesture recognition,Ultrasonic waves,Goertzel algorithm,Hidden Markov model,Doppler effect