Multidimensional user identity identification method

Abstract

The invention provides a multidimensional user identity identification method. The multidimensional user identity identification method comprises the steps of: detecting a human body in a photographic range by means of a camera, extracting facial features of the human body, comparing the facial features with user pictures prestored in a sample library, calculating a face matching coefficient, and preliminarily judging whether a user with permission exists in the photographic range; receiving user voice by using a microphone, converting an audio analog signal into a digital sequence, comparing the digital sequence with user voiceprints prestored in the sample library, calculating a voiceprint matching coefficient, and calculating the face matching coefficient and the voiceprint matching coefficient again to obtain a matching degree, so as to judge whether the user have the permission; and establishing a model for the user when judging that the user has the permission, carrying out human body dynamic tracking on the user, matching a voice source position with a position calculated through carrying out human body tracking on the user, judging that a command is issued by the user with permission and the command is valid when a voice position matches with an image position, and executing the command.

Description

technical field [0001] The invention belongs to the technical field of smart home, and in particular relates to a multi-dimensional user identification method. Background technique [0002] With the continuous development of society and the advancement of technology, people's longing for smart life makes smart home products more and more appear in daily life. Smart home appliances and smart security products can indeed bring convenience to people's lives, but current technical means still cannot effectively solve the problem of user access control. Traditional text passwords, fingerprints, etc., although highly secure, require active verification by the user. Due to the constraints of their input form, they still cannot be well applied in some daily scenarios. Although forms of biometric codes such as face recognition and voice recognition can be passively identified, their identification dimensions are single and cannot meet the needs of complex scenarios. [0003] The em...

AI Technical Summary

Problems solved by technology

Smart home appliances and smart security products can indeed bring convenience to people's lives, but current technical means still cannot effectively solve the problem of user access control

Traditional text passwords, fingerprints, etc., although highly secure, require active verification by the user. Due to the constraints of their input form, they still cannot be well applied in some daily scenarios.

However, forms of biometric codes such as face recognition and voice recognition can be passively recognized, but their recognition dimensions are single and cannot meet the needs of complex scenarios.

Images