Target sleep-based weight measurement method

Abstract

The invention discloses a weight measurement method based on target sleep. A plurality of pressure sensors are arranged under the bed, and the duration of a measurement period is determined; when a measurement period ends, a sleep is selected as the target sleep, and a certain sleep in the target sleep is used. The steady state body weight value for a steady state or steady states calculates the user's body weight for the period of the measurement period. In the present invention, the steady state with low reliability is removed by selecting the target sleep method, and the selection range of the steady state is narrowed, so that the steady state with high reliability can be extracted, and then the weight value that can represent the actual weight of the user can be obtained. , providing accurate weight data for basic health monitoring.

Description

technical field [0001] The invention relates to the field of basic health monitoring, in particular to a weight measurement method based on target sleep. Background technique [0002] The accuracy of traditional electronic weight scales is generally 0.1kg. At this accuracy, the reading is relatively easy to stabilize. Once stable, the electronic weight scale can output it to the display screen, and it seems that it has only read a value. In reality, using any electronic weighing device to weigh in, the readings you get are a sequence, not a single value. Because basic health monitoring needs to obtain high-precision weight data of the user to facilitate analysis and monitoring of health status, high-precision pressure sensors below 10g are generally used, and the measurement of pressure sensors is a dynamic process. As long as a certain accuracy is achieved, slight disturbances will There is a difference in readings. Assuming that a measurement is made every second, differe...

AI Technical Summary

Problems solved by technology

Since basic health monitoring needs to obtain high-precision weight data of the user in order to analyze and monitor the health status, a high-precision pressure sensor below 10g is generally used, and the measurement of the pressure sensor is a dynamic process. As long as a certain accuracy is achieved, a slight disturbance will Different readings are generated. Assuming that a measurement is performed every second, different readings will be generated every second, so that the weight data is difficult to stabilize. For example, the user stays in bed for 8 hours, that is, 8×60×60=28800 seconds Will produce 28,800 weighing readings; making it difficult to judge which weighing data more accurately reflects the user's actual weight

[0003] In addition, the actions of people on the bed, such as: going to bed, getting out of bed, turning over, etc., will have an impact on the readings of the pressure sensor, and there will be large instantaneous fluctuations; some behaviors of the user, such as whether the mobile phone, Glasses, bedding, clothing and the like will also cause disturbances to the readings.

If these effects are not removed, the measured weight value will be greatly distorted

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