Treatment pillow for relieving snoring symptoms based on snore recognition

The main purpose of this paper is to build an embedded platform based on TMS320VC5509A processor, and finally realizes the recognition of snore and controls pillow change the height to relieve snoring symptoms. The whole embedded hardware platform collects the sounds through the microphone module, and completes data storage, data processing and data interaction through other peripherals. After a series of pre-processing operations, short-time energy and short-time zero crossing rate dual threshold detection is selected as endpoint recognition algorithm, MFCC(Mel Frequency Cepstral Coefficient) is selected as feature extraction and KNN(k-nearest neighbors algorithm) is selected as recognition algorithm. The experimental results show that this hardware system can run well and the design is reasonable. At the same time, it can also achieve a good accuracy in snore analysis and recognition.