Feeding monitoring method and device based on bone conduction, terminal equipment and medium

Abstract

The invention discloses a feeding monitoring method and device based on bone conduction, terminal equipment and a storage medium, and the method comprises the steps: monitoring a chewing behavior of fed food through intelligent glasses, and obtaining a vibration signal of a skull related to the chewing behavior; counting the number of chewing times according to the vibration signal to obtain the number of continuous chewing times; if the continuous chewing times do not reach the target chewing times and the chewing behavior of the user is terminated, sending out first prompt information; and if the number of continuous chewing times reaches the target number of chewing times, sending out second prompt information. Therefore, according to the feeding monitoring method based on bone conduction, the accumulated number of chewing times can be automatically monitored with more reliable precision, and the prompt information is sent to the user in time according to the chewing behavior of the user, so that the feeding habit of the user is improved.

Description

technical field [0001] The present invention relates to the technical field of intelligent monitoring, in particular to a bone conduction-based feeding monitoring method, device, terminal equipment and storage medium. Background technique [0002] With the continuous improvement of living standards, people's demand for healthy diet is also increasing. Among them, the chewing habit when eating is closely related to a healthy diet, so it has received people's attention. Existing scientific studies have shown that the more times you chew, the more calories you will consume. Since the feeling of satiety is delayed, it will be more effective to lose weight when you eat the same amount of food. [0003] If the number of chewing times is counted in a subjective and artificial way, it will cause people to have a burden when eating, and it is also not conducive to improving interventions aimed at changing the chewing rate. There have been related studies on the monitoring methods o...

AI Technical Summary

Problems solved by technology

[0003] If the number of chewing times is counted in a subjective and artificial way, it will cause people to have a burden when eating, and it is also not conducive to improving interventions aimed at changing the chewing rate

There have been relevant researches on the monitoring methods of the chewing process, but they all have defects.

For example, the method of monitoring chewing behavior by monitoring chewing sound has the problem that environmental sound interferes with the monitoring process, thereby reducing the accuracy of the monitoring result; monitoring chewing behavior through smart glasses includes: using piezoelectric film sensors to monitor the activity of the temporalis muscle and Using electromyography to record the temporalis muscle, the former is limited to the experimental stage, and involves signal segmentation, which will lead to insufficient accuracy; the latter, due to too many noise signals, requires operations such as filtering and removing motion artifacts, will also affect Accuracy of monitoring results

[0004] Therefore, there is currently no objective and automated method for quantifying chewing behavior that can automatically monitor chewing times with more reliable accuracy, thereby improving people's eating habits

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