5. A gesture recognition method for recognizing a gesture made by a person, applied in an apparatus, comprising: sending ultrasound signals using a ultrasound transmitter; receiving reflected ultrasound signals using a ultrasound receiver; dividing the reflected ultrasound signals into a plurality of frames according to a time interval; obtaining an eigenvalue of each frame; filtering the eigenvalues to obtain gesture eigenvalues and obtaining a matrix of probabilities of the gesture eigenvalues by using a sound recognition model; and searching a reference matrix of probabilities for a match to the matrix of probabilities of the gesture eigenvalues, and recognizing the gesture eigenvalues as a reference gesture corresponding to the reference matrix of probabilities if the reference matrix of probabilities is found.
5. A gesture recognition method for recognizing a gesture made by a person, applied in an apparatus, comprising: sending ultrasound signals using a ultrasound transmitter; receiving reflected ultrasound signals using a ultrasound receiver; dividing the reflected ultrasound signals into a plurality of frames according to a time interval; obtaining an eigenvalue of each frame; filtering the eigenvalues to obtain gesture eigenvalues and obtaining a matrix of probabilities of the gesture eigenvalues by using a sound recognition model; and searching a reference matrix of probabilities for a match to the matrix of probabilities of the gesture eigenvalues, and recognizing the gesture eigenvalues as a reference gesture corresponding to the reference matrix of probabilities if the reference matrix of probabilities is found. 7. The gesture recognition method of claim 5 , wherein the sound recognition model is a hidden markov model.