Sleep body motion recognition method, sleep quality assessment method and smart wearable device
An identification method and sleep technology, applied in the field of communication, can solve problems such as difficulty in obtaining accurate data, and achieve the effects of improving sleep results, regulating sleep cycles, and correcting spinal distortion
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Embodiment 1
[0047] A method for recognizing sleep body movement of the present invention, such as figure 1 with figure 2 Shown:
[0048] Including the following steps:
[0049] S11. Establishment of the standard model: collect various body movements of the user during sleep through the acceleration sensor, including multiple movements of turning left, right, and left and right at different speeds, and collect three-dimensional acceleration data in these various body movements a x 、ay 、a z , and perform data processing on it to obtain the one-dimensional combined acceleration data a, extract the eigenvalues of the combined acceleration data a, establish a variety of standard models of the user's body movements at normal speeds during sleep, and use the various standard models as reference templates Sequences C1, C2...Cx are stored in the sample library;
[0050] Wherein, the data processing includes synthesizing the three-dimensional acceleration data into one-dimensional combined ...
Embodiment 2
[0069] A kind of sleep quality evaluation method of the present invention, such as Figure 4 Shown:
[0070] Including the following steps:
[0071] S21. Acquisition of the user's physical activity frequency: Obtain the number of physical activities during the user's sleep, the maximum time interval between two physical activities, and a single activity through the body movements of the user during sleep recognized by the sleep body movement recognition method The maximum duration of the user's sleep; the number of times the user turns over during sleep, the total duration of sleep, and the regularity of sleep awakening are obtained through monitoring;
[0072] The frequency of physical activity, the number of times of turning over, the total duration of sleep, and the law of sleep awakening during the user's sleep process are identified as the objective criteria for the user's sleep evaluation.
[0073] Provide subjective sleep feeling list;
[0074] Receive the user's sel...
Embodiment 3
[0084] A smart wearable device of the present invention, such as Figure 5 Shown: The wearable device is a bracelet or a watch.
[0085] Such as Figure 4 Shown: including acquisition module, filter module, processing module and identification module; among them, the acquisition module is used to collect body movement data during the user's sleep; the acquisition module includes an acceleration sensor; the filter module is used to perform low-pass filtering on the collected data Processing; the processing module is used to analyze and calculate the filtered data; the processing module includes an MCU; the identification module completes the identification of the user's body movement during sleep.
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