Identification method, electronic equipment and storage medium based on cardiac shock signal

Abstract

The present application relates to an identity recognition method based on heart shock signals, including: collecting the heart shock signals of the first user; extracting signal features from the heart shock signals as the identity feature information of the first user; information to determine the identity of the first user.

Description

technical field [0001] The present application belongs to the field of identification, and in particular relates to an identification method, electronic equipment and a storage medium based on cardiac shock signals. Background technique [0002] With the popularization of smart electronic devices, more and more devices can be used to collect the user's physiological characteristics for further analysis. For example, certain devices can be used to collect human body motion signals for further health analysis or user needs in other occasions. When this type of device is used to analyze the user's health, it is necessary to associate the user's data with the user's identity, otherwise it is easy to cause data confusion. [0003] When associating user data with the user's identity, the user's identity needs to be identified. In the prior art, there are many techniques for identifying people based on biometric features, such as fingerprint-based, face-based, and so on. However...

AI Technical Summary

Problems solved by technology

However, the inventors of the present application found that after introducing a special identification device into the health equipment, the user experience will be poor due to the need for the user to do too many operations

Moreover, there are many elderly people who are not very familiar with high-tech products, which require high learning costs, and too many operations can easily lead to mistakes

For example, in the scenario of collecting user heartbeat data, if the user does not take the initiative to do identification or forgets to do identification, it may still cause data confusion.

At the same time, since the health device also needs to add additional sensors, the equipment complexity and manufacturing cost of the device will increase.

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