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Sleep is a very important physiological activity in life. The quality of sleep directly affects people 's health. At present, common sleep monitoring products from smart mattresses to smart bracelets, although they can monitor sleep, must either be laid on the bed or must be worn throughout the night, which does not provide a good user experience. At the same time, such products mainly rely on the single factor of physical activity to judge sleep, and many details of the sleep process cannot be discussed in depth, such as breathing and snoring. In order to solve the above problems, this paper proposes a non-contact human sleep monitoring method, which judges sleep staging by two aspects of body motion and respiration and compares it with traditional wristband products to verify the effectiveness of the method. © 2020 IEEE.
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